- Random - Mailing list — Dipartimento di Matematica, UniPI

Avviso di Seminario - Prof. Nicos Georgiou
by Luigia Caputo 10 Feb '26

10 Feb '26

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Announcement of spring school "Mathematical Aspects of Plasma Physics and Turbulence", May 4-8, 2026, Pisa
by Theresa LANGE 09 Feb '26

09 Feb '26

Dear colleagues, with this we would like to draw your attention to the following event: From May 4th-8th, 2026, we are organising the spring school “Mathematical Aspects of Plasma Physics and Turbulence”, to be held at Scuola Normale Superiore di Pisa. It will comprise three lecture series on mathematical models and techniques arising in plasma physics, and aims to bring together mathematicians and physicists with complementary expertise in these areas. The event shall be targeted at researchers in particular at early-career level, working in the fields of kinetic equations, scaling limits, diffusion processes, and pattern formation in partial differential equations. They will be able to share their work via presentation of a talk or a poster. Limited funding is available for accommodation. We would kindly like to ask you to forward this information to interested students and colleagues. Further information on the event can be found on the webpage https://indico.sns.it/event/139/. Registration is open until March 10th for those requiring funding, and latest until April 26th, under https://indico.sns.it/event/139/registrations/83/. Best wishes Franco Flandoli, Ciro Campolina, Federico Butori, Theresa Lange, Yassine Tahraoui — Dr. Theresa Lange Postdoctoral Researcher Group Prof. Franco Flandoli Scuola Normale Superiore Piazza dei Cavalieri 7 56126 Pisa Italy

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PhD at the Scuola Normale Superiore (Pisa, Italy). Call 2026-2027
by Fabrizio Lillo 09 Feb '26

09 Feb '26

Six PhD fellowships are available at SNS for students interested in pursuing a PhD degree in *Computational Methods and Mathematical Modeling for the Sciences and Finance.* Areas of research include: Numerical Analysis and Scientific Computing, Quantitative Finance, Stochastic Analysis, Machine Learning, Computational Chemistry, Computational Biology and Quantum Information Theory. The application deadline is February 19, 2026; start date is November 1, 2026. For application information, see https://www.sns.it/sites/default/files/2026-01/bando_phd_2026-27_sci-signed… (Please note: the English version starts on page 14 of the document.) Further information about the PhD program is available at https://www.sns.it/en/computational-methods-and-mathematical-models-science… Best regards, Fabrizio Lillo ---------------------------------------- Fabrizio Lillo Scuola Normale Superiore Piazza dei Cavalieri 7 56126 Pisa ITALY Personal website: fabriziolillo.wordpress.com University website: www.unibo.it/sitoweb/fabrizio.lillo <http://fabriziolillo.wordpress.com/> phone: +39 050509159

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Fwd: Workshop announcement - Young researchers in stochastic and dispersive PDEs
by Marco Romito 08 Feb '26

08 Feb '26

-------- Forwarded Message -------- Subject: Workshop announcement - Young researchers in stochastic and dispersive PDEs From: James Coe <J.Coe(a)ed.ac.uk> Dear all, We are hosting a short workshop *_Young researchers in stochastic and dispersive PDEs_* on *April 8-10*, *2026* at the University of Edinburgh. The workshop will run from 13:00 on April 8^th to 12:00 on April 10^th , with _talks given by early career researchers_ in stochastic analysis and PDEs. There will also be a _poster session_ on April 8^th , where attendees may present their research. You can find the program and more information at_https://sites.google.com/view/yrsdpde2026/home <https://sites.google.com/view/yrsdpde2026/home>_. We gently ask you to forward this announcement to whomever may be interested. If you are interested in attending please register at _https://docs.google.com/forms/d/e/1FAIpQLSd4oSq2UiXHyFvG1jsAP_EwJPwpcZwZK9… <https://docs.google.com/forms/d/e/1FAIpQLSd4oSq2UiXHyFvG1jsAP_EwJPwpcZwZK9P…>_. Limited funding is available to cover travel and accommodation expenses. We are planning to have a social dinner on April 9^th — please let us know about any dietary requirements when registering for the workshop. Best wishes, James (on behalf of the organisers, James Coe and Niko Nikov)

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[STAR Seminars] Wed Feb 11 - Rahma Yasmina Moulay Hachemi
by Leonardo Tarquini 05 Feb '26

05 Feb '26

Dear all, Join us for our upcoming talk in the STAR seminar<https://www.mn.uio.no/math/english/research/projects/storm/events/seminars/…> series on Wednesday, February 11th, from 11:00 to 12:00 (Oslo time). As always, the talk will take place in a hybrid format: participants in Oslo can attend the talk in Room 723 in Niels Henrik Abels hus, whereas the international audience will be able to follow the talk via Zoom<https://uio.zoom.us/j/61970286852>. The speaker is Rahma Yasmina Moulay Hachemi (University of Saida Dr. Moulay Tahar) with the talk: Title: The time-fractional stochastic heat equation driven by time-space white noise Abstract: We study the stochastic time-fractional stochastic heat equation: ∂α/∂tα Y(t, x) = λΔY (t, x) + σ W(t, x); (t, x) ∈ (0,∞) × Rd , (0.1), where d ∈ N = {1, 2, ...} and ∂α/∂tα is the Caputo derivative of order α ∈ (0, 2), and λ > 0 and σ ∈ R are given constants. We consider the equation in the sense of distribution, and we find an explicit expression for the S-valued solution Y (t, x), where S is the space of tempered distributions. Following the terminology of Y. Hu [1], we say that the solution is mild if Y (t, x) ∈ L2(P) for all t, x. It is well-known that in the classical case with α = 1, the solution is mild if and only if the space dimension d = 1. We prove that if α ∈ (1, 2) the solution is mild if d = 1 or d = 2. If α < 1 we prove that the solution is not mild for any d. [1] Hu, Yaozhong (2019): Some recent progress on stochastic heat equations. Acta Mathematica Scientia 39B(3); 874-914 We are looking forward to seeing you! Best regards, Giulia, Leonardo, Pere, and David

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Seminario Georgios Athanasopoulos, Martedì 10 Febbraio, Sapienza Università di Roma
by Silvestri, Vittoria 05 Feb '26

05 Feb '26

Segnalo il seguente seminario, che si terrà Martedì prossimo in Sapienza. *Martedì 10 Febbraio, ore 14:00,* Sala di Consiglio, Dipartimento di Matematica, Sapienza Università di Roma *Speaker:* Georgios Athanasopoulos (Università Roma Tre) *Title:* Around the exact solutions of the 2D classical and 1D quantum Ising models. *Abstract:* I will review some recent developments about the 2D classical Ising model focusing on the method of Kac and Ward. In joint work with Daniel Ueltschi, we have extended this method to systems with negative coupling constants. As a consequence, we observe that the Cimasoni--Duminil-Copin--Li equation for the critical temperature, originally proved for general bi-periodic planar lattices with positive couplings, remains valid in a broader setting. Furthermore, I will discuss the possibility of extending this method to study the energy correlations for coupling constants of arbitrary sign. Finally, I will explain how this method can be used to rigorously compute the free energy of the 1D quantum Ising model. ******************************** Vittoria Silvestri Associate Professor Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome ********************************

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Postdoc in Financial Mathematics @ DCU — Apply by 20 Feb 2026
by Paolo Guasoni 04 Feb '26

04 Feb '26

Dear Colleagues, I'm advertising a 24-month Postdoctoral Researcher position in Financial Mathematics at Dublin City University (starting September 2026). The postdoc will join my group and work on the mathematics of decentralized finance, including off-chain payment networks, automated market makers, and incentive-compatible fee/reward design. Candidates should have (or be close to completing) a PhD in mathematics, statistics, computer science, operations research, or a related area, with strong background in stochastic processes and/or optimisation, and an interest in decentralized finance. Salary is approximately €46k–€50k. Application deadline: 20 February 2026. Apply via the DCU portal using reference 003246: tinyurl.com/3r8u6ppa Please feel free to forward to interested candidates. Best regards, Paolo Guasoni -- Séanadh Ríomhphoist / Email Disclaimer Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Tá cosc iomlán ar scaipeadh, dháileadh nó chóipeáil neamhúdaraithe ar an teachtaireacht seo agus ar aon cheangaltán atá ag dul leis. Má tá an ríomhphost seo faighte agat trí dhearmad cuir sin in iúl le do thoil don seoltóir agus scrios an teachtaireacht. D’fhéadfadh sé gurb iad tuairimí an údair agus sin amháin atá in aon tuairimí nó dearcthaí atá curtha i láthair sa ríomhphost seo agus níor chóir glacadh leo mar thuairimí nó dhearcthaí Ollscoil Chathair Bhaile Átha Cliath. Ní ghlactar leis go bhfuil cumarsáid ríomhphoist den sórt seo saor ó víreas, in am, slán, nó saor ó earráid agus ní ghlacann Ollscoil Chathair Bhaile Átha Cliath le dliteanas in aon chás den sórt sin ná as aon iarmhairt a d’eascródh astu. This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Any unauthorised dissemination, distribution or copying of this message and any attachments is strictly prohibited. If you have received this e-mail in error, please notify the sender and delete the message. Any views or opinions presented in this e-mail may solely be the views of the author and cannot be relied upon as being those of Dublin City University. E-mail communications such as this cannot be guaranteed to be virus-free, timely, secure or error-free and Dublin City University does not accept liability for any such matters or their consequences. -- <https://www.facebook.com/DCU/> <https://twitter.com/DCU> <https://www.linkedin.com/company/dublin-city-university> <https://www.instagram.com/dublincityuniversity/?hl=en> <https://www.youtube.com/user/DublinCityUniversity>

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PhD and Postdoc opportunities at University of Oslo
by Giulia Di Nunno 04 Feb '26

04 Feb '26

Dear All, Exciting opportunities are open within the group of Risk and Stochastics at the Department of Mathematics, University of Oslo Up to 2 PhD positions in stochastic analysis and computational mathematics. Connection to SURE-AI community Read here: https://www.jobbnorge.no/en/available-jobs/job/294743/phd-research-fellow-i… One Postdoc position in stochastic analysis for research lovers in a simmering group. Read here: https://www.jobbnorge.no/en/available-jobs/job/294745/postdoctoral-research… Deadline for application March 1st, 2026! Please help us distribute this information widely. Best regards, Giulia Di Nunno Professor Risk and Stochastics Department of Mathematics University of Oslo, Norway

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Special Issue ANOR - Climate Transition and Operational Risk Modelling: Implications for Supply Chains and Financial Decision-Making
by Andrea Flori 03 Feb '26

03 Feb '26

Dear Colleagues, We are pleased to announce that the Call for Papers for the Special Issue of Annals of Operations Research, entitled “Climate Transition and Operational Risk Modelling: Implications for Supply Chains and Financial Decision-Making”, has been published. We particularly welcome applied and methodological operations research studies that address these challenges in an innovative and rigorous manner. Topics of interest include, but are not limited to: - Robust stochastic optimization methods for climate transition risks - Portfolio optimization and risk-adjusted return modelling under climate policy uncertainty - Credit and counterparty risk assessment under low-carbon transition scenarios - Risk-sharing mechanisms and insurance models for climate-related disruptions - Supply chain risk management in climate transition - Operational decision-making in emission trading schemes and carbon pricing - Predictive modelling of carbon stranding risk via supervised learning - Machine learning and big data analytics for climate risk scenario classification - Natural language processing applications in climate policy risk analysis - Bayesian network approaches to modelling climate transition risk propagation - Agent-based models of climate transition dynamics and systemic effects. Submission deadline: December 31, 2026 Further details: https://link.springer.com/collections/baifaedejd Guest Editors Duc Khuong Nguyen, EMLV Business School, France & University of Cambridge, UK Andrea Flori, Politecnico di Milano, Italy Anna Maria Gambaro, University of Eastern Piedmont, Italy Ioannis Kyriakou, University of London, UK Best Regards, Andrea Flori

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Bando RTT (STAT/04) a Venezia Ca' Foscari
by Marco LI CALZI 03 Feb '26

03 Feb '26

Care Colleghe, Cari Colleghi, è stato pubblicato oggi 3 febbraio il bando per una posizione RTT in STAT/04 presso il Dipartimento di Management dell’Università Ca’ Foscari Venezia. Il bando resterà aperto per 60 giorni. Vi chiediamo la cortesia di divulgare la notizia verso i potenziali interessati. Qui trovate tutte le informazioni utili: https://www.unive.it/data/11306/?id=2026-UNVE000-0018567 Grazie per l’attenzione, marco licalzi. __________________________________ Marco Li Calzi Venice School of Management Università Ca' Foscari Venezia San Giobbe, Cannaregio 873 30121 Venezia, Italy T. +39 041 234 6925 M. licalzi(a)unive.it https://mlicalzi.github.io

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Fwd: CMI-HIMR Summer School on Random Geometries and Random Matrices (Bristol, June 2026)
by Anna Paola Todino 03 Feb '26

03 Feb '26

Dear Colleagues, I would like to inform you about the *CMI-HIMR Summer School on Random Geometries and Random Matrices*, which will be held in Bristol from June 1 to 5, 2026. Further information and registration details are available at: https://web-eur.cvent.com/event/a35d84e8-2f74-41c1-a550-c8bc3b9fea9a/summary Partial coverage of local expenses may be available. PhD students are especially welcome to register. Please note that the registration deadline is *February 8*, 2026 (23:59 UK time). Best regards, Anna Paola Todino

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SLMath SGS-1126 Mathematics for Machine Learning
by Domenico Marinucci 03 Feb '26

03 Feb '26

Care colleghe e cari colleghi segnalo la scuola estiva di Mathematics for Machine Learning, che si terrà all'ICTP di Trieste dal 15 al 26 giugno 2026, sito web: https://indico.ictp.it/event/11148 Alcuni dettagli qui sotto: -------------------------------------------------------------------------------------------- Lecturers: Francesca Mignacco (Princeton University) Andrea Montanari (Stanford University) Course by Andrea Montanari This summer school provides an introduction to theoretical ideas that have been developed with the objective of understanding machine learning methods and their domain of applicability. The focus will be on proof technique and general mathematical tools. 1.Empirical risk minimization and empirical process theory. Objective: Understand how learning is formalized in terms of generalization guarantees, and how the latter emerge from uniform control over suitably restricted function classes. a.Uniform convergence guarantees for learning b.Complexity bounds for neural networks c.Tools: Strong laws of large numbers, concentration of measure, Radamacher complexity. 2.Generalization in the linear regime. Objective: Understand how and when good generalization can be achieved while violating the (naive) assumptions of uniform convergence. In particular, characterize the generalization error of kernel and random features methods. a.Interpolation and benign overfitting b.Kernel methods c.Random features and neural tangent models d.Tools: Random matrix theory 3.Feature learning in large networks. Objective: Analysis of simple neural network models (two-layer network) outside the linear/neural tangent regime. a.Mean field theory b.Multi-index models c.Tools: Propagation of chaos, Wasserstein gradient flows. 4.Sampling and generative methods. Objective: Describe and justify mathematically architecture for generative models. Presents correctness guarantees, as well as limits in some simple settings. a.Autoregressive models, diffusion models, probability flows. b.Sampling guarantees under assumptions on the score estimation. c.Impossibility results. d.Tools: Stochastic localization, functional inequalities, computation-information gaps. Course by Francesca Mignacco The lectures will present an overview on the statistical physics approach to high-dimensional learning problems. The main concepts and methods from mean-field theory of disordered systems will be introduced through prototypical examples that are amenable to analytic characterization. More precisely, the course syllabus will be as follows: 1. Motivation and background. Objective: Introduce the statistical physics perspective on high-dimensional learning problems and the main concepts and settings covered throughout the course. (a) The jargon of statistical physics: thermodynamic limit, order parameters, typical-case scenario. (b) The perceptron. (c) The teacher-student paradigm. 2. Statics of learning. Objective: Understand the Bayes-learning framework and how to apply it to study the impact of data structure and architectural bias on the performance. (a) Generalization error in the perceptron: Bayes-optimal performance vs empirical risk minimization. Introduction to the replica method. (b) Memory capacity: from random points to neural manifolds. Applications to deep learning and neuroscience. (c) Models of data structure. (d) Deep linear networks and back-propagating kernel renormalization 3. Dynamics of learning. Objective: Understand how to derive effective low-dimensional descriptions of the learning dynamics and apply them to study commonly-used training algorithms such as stochastic gradient descent. (a) Online learning in two-layer neural networks. (b) Batch learning: dynamical mean-field theory, cavity method and path integral formulation. Participants: The school can be of interest for a very broad range of students basically from all areas of Pure and Applied Mathematics. Indeed, on one hand the topics of the school are specially addressed to those that are working in disciplines directly involved with Machine Learning (such as mathematical statistics, probability, information theory, numerical analysis, statistical mechanics); on the other hand, the lectures are developed starting from a limited requested background in these specific disciplines, so that students with good mathematical foundations in other areas could attend as well. Hence this school could provide the occasion for students with a different background to get into an exciting new area of research, either to find new connections at the theoretical level or to gain further skills which are on extremely high-demand at every level. The school may also be suitable for students who are not enrolled in a mathematical PhD but are working in related areas, such as statistics, computer science, engineering. Organizing committee: Claudio Arezzo (ICTP), Jean Barbier (ICTP), Filippo Bracci (Roma Tor Vergata and INdAM), Domenico Marinucci (Rome Tor Vergata and INdAM), Cristina Trombetti (Napoli Federico II and INdAM), ---------------------------------------------------------------------------------------------------------------- Grazie per l'attenzione, Domenico Marinucci -- @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ Domenico Marinucci Dipartimento di Matematica Università di Roma Tor Vergata https://sites.google.com/view/domenicomarinucci @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@

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LSAA 2026, June 15–18, now open for registration
by Andreas Petersson 03 Feb '26

03 Feb '26

Dear colleagues (apologies if you get multiple copies of this email), Registration is now open for the Linnaeus Workshop on Stochastic Analysis and Applications (LSAA 2026), held at Linnaeus University in Växjö, Sweden, during the Midsummer week of June 15–18, 2026. We would be grateful if you could forward this information within your department. LSAA is an annual conference series (since 2010) and a meeting point for researchers working on stochastic processes, differential equations, and applications, with a focus on fostering collaboration across stochastics, numerics, analysis, and complex systems. We welcome contributed talks, and PhD students and early-stage researchers are especially encouraged to participate. The workshop is held in conjunction with the 3rd Young Summer School on Stochastic Analysis. Register and find details: https://lnu.se/en/lsaa2026 We look forward to welcoming you to Växjö in June! Best regards, Andreas Petersson, Wolfgang Bock, and Astrid Hilbert (Workshop organizers)

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IPMU 2026 - Deadline extension for paper submission
by Davide Petturiti 02 Feb '26

02 Feb '26

****** PLEASE APOLOGIZE FOR MULTIPLE COPIES ****** ********************************************************** 21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2026) June 15th-19th, 2026, Rome, Italy https://www.sbai.uniroma1.it/conferenze/ipmu2026/ *********************************************************** Due to numerous requests, the deadline for paper submission at IPMU 2026 has been extended to February 15, 2026, both for long and short papers. This will be the final, hard deadline. Papers must be submitted in PDF via EasyChair at https://easychair.org/my/conference?conf=ipmu2026 Submission instructions can be found at https://www.sbai.uniroma1.it/conferenze/ipmu2026/submission-instructions.php IMPORTANT DATES: Paper submission deadline: February 15, 2026 Notification of acceptance: March 15, 2026 Camera-ready versions: April 1, 2026 Conference: June 15-19, 2026 Contact: ipmu2026(a)sbai.uniroma1.it KEYNOTE SPEAKERS: We are also pleased to inform about the keynote speakers at the conference: Bob Kowalski (Imperial College London, United Kingdom) Luc de Raedt (KU Leuven, Belgium) María Ángeles Gil (University of Oviedo, Spain) Marco Zaffalon (IDSIA, Switzerland) GRANTS AND AWARDS: EUSFLAT is providing 5 student grants to support student participation at the conference. Eligibility criteria and instructions can be found at https://www.sbai.uniroma1.it/conferenze/ipmu2026/student-grants.php In addition, there shall be a number of awards for the best paper and best student paper at the conference. General Chair Barbara Vantaggi (Italy)

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Postdoc position at Warwick
by Francesco Caravenna 02 Feb '26

02 Feb '26

Ricevo e inoltro. > Da: "Zygouras, Nikolaos" <N.Zygouras(a)warwick.ac.uk> > Oggetto: postdoc position > Data: 1 febbraio 2026 alle ore 14:49:48 CET > A: Francesco Caravenna <francesco.caravenna(a)unimib.it> > > Dear Francesco, > > I would like to bring to your attention a postdoc position that I will be having > > https://warwick-careers.tal.net/vx/appcentre-ext/brand-4/spa-1/candidate/so… > > I would be grateful if you could forward this announcement to interested parties. > I would also be happy to have an informal discussion, with anyone interested. > > many thanks, Nikos

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Opening of PhD position within Emmy-Noether group at MPI MiS Leipzig
by Theresa LANGE 02 Feb '26

02 Feb '26

Dear colleagues, With this I would like to make you aware of the opening of a PhD position on stochastic fluid dynamics within my Emmy-Noether group <https://www.mis.mpg.de/noise-in-convection> at the Max-Planck-Institute of Mathematics in the Sciences in Leipzig, Germany (duration: 3 years; earliest possible start: May 2026). All details on the position and how to apply can be found under the following link: https://www.mathjobs.org/jobs/list/28040. May I ask you to advertise this position among suitable and interested candidates as well as among further colleagues? Thank you very much! Kind regards Theresa Lange — Dr. Theresa Lange Postdoctoral Researcher Group Prof. Franco Flandoli Scuola Normale Superiore Piazza dei Cavalieri 7 56126 Pisa Italy

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SPASS seminar
by Francesco Grotto 02 Feb '26

02 Feb '26

Dear Colleagues, We would like to invite you to the following SPASS seminar, *Current trends and challenges in atmospheric CO2 monitoring* by Carina Geldhauser (ETH) on Tuesday 3.2.2026 at 14:00 CET in Aula Riunioni, Dipartimento di Matematica, Pisa. Best, F. Grotto on behalf of the organizers Abstract: In this era of rapid climate change, the precise monitoring of carbon dioxide emissions has become a critical task. We review current efforts to model the spatial propagation of CO2 concentration levels. We highlight the limitations of current results from isolated megacities for European setting: In Europe, the spatiotemporal distribution of CO2 is heavily influenced by atmospheric dynamics and terrestrial biospheric fluxes, hindering a succesful application of traditional modelling approaches. Hence, we prototyped the application of machine learning models to predict ground-level CO2 from satellite measurements. Our results show the effectiveness of integrating diverse data sources in capturing local emission patterns, highlighting the value of high-resolution atmospheric transport models.

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Seminario on-line PRISMA lunedì 2 febbraio 2026 - L. Zambotti & A. Bonicelli
by Sonia Mazzucchi 02 Feb '26

02 Feb '26

Seminari on-line del gruppo UMI - PRISMA (http://www.umi-prisma.polito.it/) I seminari PRISMA hanno un formato di "colloquium" per creare un'occasione di scambio e discussione con tutta la comunità dei probabilisti e statistici italiani. Ogni giornata comprende due relatori che tengono due seminari di 30 minuti strettamente connessi, per presentare alla comunità una prospettiva sul proprio ambito di ricerca. Dallo scorso anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI: https://www.youtube.com/playlist?list=PLmySpc-jrtAMSrfXSQy_lBRY2sGEWnyir Il prossimo appuntamento è per oggi, *lunedì 2 febbraio* 2026. I relatori saranno *Lorenzo Zambotti *(Sorbonne Université) e *Alberto Bonicelli* (Sorbonne Université) che parleranno di: *La rivoluzione dell’analisi stocastica « pathwise »*. con il seguente orario: 16:00 Primo seminario 16:30 Pausa e discussione 16:45 Secondo seminario 17:15 Conclusione e discussione Trovate di seguito il riassunto. I seminari verranno trasmessi via Zoom al seguente link: https://unitn.zoom.us/j/87499722273 ID riunione: 874 9972 2273 Codice d’accesso: 412980 Vi aspettiamo numerosi! Alberto Chiarini e Sonia Mazzucchi %%%%%%%%%%%%%%%%%%%%%%%%%%%% RELATORI: Lorenzo Zambotti e Alberto Bonicelli (Sorbonne Université) TITOLO: La rivoluzione dell’analisi stocastica « pathwise ». RIASSUNTO: L’analisi stocastica, creata da Itô negli anni 40, ha dominato la teoria dei processi stocastici fino alla fine del XX secolo e oltre. Negli ultimi 25 anni una serie di nuove idee ha arricchito questa teoria e permesso dei progressi spettacolari, in particolare nello studio delle equazioni stocastiche alle derivate parziali. Le tecniche principali in questa area di ricerca sono i rough paths, il sewing lemma, le strutture di regolarità e le distribuzioni para-controllate. In questo seminario vogliamo presentare le idee principali di questo settore, in particolare la nozione di integrazione stocastica « pathwise », il teorema di ricostruzione e le espansioni di Taylor generalizzate.

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Korean Croatian Probability Summer Camp - Dubrovnik
by Bruno Toaldo 02 Feb '26

02 Feb '26

Dear Students and Researchers, I would like to bring to your attention the 4th Korean–Croatian Summer Probability Camp, which will take place in Dubrovnik (Croatia) from June 29 to July 1, 2026. The event focuses on probability theory and related areas, featuring mini-courses by invited speakers and opportunities for PhD students to present their research. This year lecturers are: Vanja Wagner (University of Zagreb), Jaeyun Yi (SLMath) and myself. Participation is free of charge but registration is required. Please note that a limited number of positions are available. More information is available here: https://web.math.pmf.unizg.hr/kcpsc/?Home Best regards, Toaldo Bruno Department of Mathematics University of Torino Via Carlo Alberto 10 10123 Torino, Italy tel: +39 0116702850

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Seminar Mark Veraar 02/02/26 - Rome
by Antonio Agresti 30 Jan '26

30 Jan '26

Dear Colleagues, With this, I would like to inform you about the talk by *Mark Veraar* (TU Delft) at Sapienza University of Rome on 02/02/2026. Further details can be found below. Best regards, Antonio Agresti *Place and time: *Sala di Consiglio (Dipartimento di Matematica, Sapienza), on *02/02/26* at *16:00*. *Title:* Pathwise Uniform Convergence of Time Discretisation Schemes for SPDEs *Abstract:* In this talk, I will present some recent results on convergence rates for time discretisation schemes for semi-linear stochastic evolution equations with additive or multiplicative Gaussian noise, where the leading operator A is the generator of a strongly continuous semigroup S on a Hilbert space X, and the focus is on non-parabolic problems. The talk is based on joint work with Katharina Klioba, published in 2025.

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3rd Verona Early Career Workshop in Economics and Financial Mathematics - Call for papers
by Athena Picarelli 30 Jan '26

30 Jan '26

Dear colleagues, The Department of Economics of the University of Verona is happy to announce the *3rd Verona Early Career Workshop in Economics and Financial Mathematics*, which will be held on *May 12–13, 2026 *in Verona, Italy. We are planning a small-scale, in-person meeting. We encourage participation from all *PhD students* and *early career researchers* who have completed their PhD in the last two years. The aim of the meeting is to promote the exchange of ideas among young researchers in all fields of economics and mathematical finance. *No registration fee is required. Coffee breaks and the social dinner are covered by the workshop organization.* We are pleased to announce our keynote speaker: *Erich Battistin *(University of Maryland) The *deadline* for the submission of abstracts is *February 28, 2026*. Workshop’s webpage: https://sites.google.com/view/ecwe-verona/home Call for Papers: https://drive.google.com/file/d/1MxBlzF_Lwfor2uKIFizna9twYnvX79cJ/view Submission Form: https://docs.google.com/forms/d/1NuPt5amFc-xCPnmTU_LDoALNdgHdHsm8udguDy5s_Y… If you have any questions regarding the workshop, please email us at ecwef26(a)dse.univr.it. We look forward to seeing you in Verona! Best wishes, Athena Picarelli and the Organisers: Clara Fertonani, Marco Scaratti, Andrea Stanghellini. -- *Athena Picarelli* Professor Coordinator of the PhD program in Economics and Finance Dipartimento di Scienze Economiche Università di Verona Polo Santa Marta, Verona.

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SEMINAR: Ester Mariucci @Luiss - 12 feb
by Matteo Iacopini 30 Jan '26

30 Jan '26

Dear all, On Thursday, 12th February, at 12:00 in room A304b, the Department of AI, Data and Decision Sciences of Luiss University of Rome will host a seminar by Ester Mariucci (Université Paris-Saclay) Title: "Understanding the Small Jumps of Lévy Processes: Approximations and Nonparametric Estimation” Abstract: There is a rich literature on approximations of the small jumps of a Lévy process, with a particular focus on Gaussian approximations. These approximations are often used to simplify analysis, but their validity depends critically on the observation scheme, in particular whether the data are collected at high or low frequency. In many situations, the Gaussian approximation may not be appropriate, and a more precise understanding of the law of small jumps is necessary. In this talk, we will discuss two complementary approaches. First, we explore approximations of the small jumps and provide quantitative control of their accuracy using distances such as the Wasserstein distance and total variation. Second, we investigate nonparametric density estimation of the small jumps based on discrete observations of a single trajectory. Estimating this density allows us to better understand the underlying distribution of small jumps. We present results for both low-frequency and high-frequency observation settings. In the low-frequency case, assuming that the Lévy density associated with large jumps is known, a spectral estimator exploiting the deconvolution structure achieves minimax parametric rates of convergence with respect to the integrated L2 loss, up to a logarithmic factor. In the high-frequency case, the assumption on the knowledge of the Lévy measure of large jumps can be relaxed; the rate of convergence then depends on the sampling scheme and on the behavior of the Lévy measure near zero, and is minimax up to a logarithmic factor. We also propose an adaptive penalized procedure to select the cutoff parameter. These results are further extended to include the case where a Brownian component is present. Finally, we illustrate our findings through extensive simulations. Anyone interested in attending is welcome; just email me for logistical purposes. Hoping to meet you there! Best, Matteo Iacopini La presente e-mail proviene da Luiss Guido Carli e s'intende inviata per scopi lavorativi. Tutte le informazioni ivi contenute, compresi eventuali allegati, sono da ritenersi esclusivamente confidenziali e riservati secondo i termini del vigente D.Lgs. 196/2003 in materia di privacy e del Regolamento europeo 679/2016 - GDPR. È vietato qualsiasi ulteriore utilizzo non autorizzato. Qualora la stessa Le fosse pervenuta per errore, La preghiamo di eliminarla immediatamente e di darcene tempestiva comunicazione. Grazie. This e-mail message is sent by Luiss Guido Carli for business purposes. All informations contained therein, including any attachments, are for the sole use of the intended recipient and may contain confidential and privileged information pursuant to Legislative Decree 196/2003 and the European General Data Protection Regulation 679/2016 - GDPR -. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by soon reply this e-mail and destroy all copies of the original message. Thanks

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BioInference 2026 - Final call for abstracts
by Massimiliano Tamborrino 30 Jan '26

30 Jan '26

Dear all, if you are interested in giving a contribute talk or poster at BioInference2026 (St Andrews, Scotland, 10th-12th June 2026), please submit your abstract by tomorrow, the 31st January here https://docs.google.com/forms/d/e/1FAIpQLSc8VlIsRWPs3acc1lkOw4Uap0IWmKVSVaD… More information is available on the website https://bioinference.github.io/2026/ and below. Best, Massimiliano on the behalf of the BioInference2026 Organising Committee ---------------------- BioInference brings together researchers from statistics and mathematical modelling who work on biological systems, creating a lively space for exchanging ideas, sparking collaborations, and building community across all career stages. After last year’s successful three-day meeting in Bardonecchia, we’re excited to return with another three days packed with invited and contributed talks, poster sessions, and dedicated networking opportunities. Call for Abstracts We now invite submissions for oral or poster presentations on any work involving mathematical modelling, statistical methods, or machine learning approaches for broadly interpreted biological problems. All presentations will be in person with no parallel sessions. Abstract deadline: 31 January 2026 Submit here: Abstract Submission Link Invited Speakers for 2026 We are delighted to host an exceptional line-up of invited speakers: Marta Belchior Lopes (Universidade NOVA de Lisboa) Sokratia Georgaka (University of Manchester) Jochen Kursawe (University of St’ Andrews) Theo Kypraios (University of Nottingham) Sara Wade (University of Edinburgh) Michael Whitehouse (Imperial College London) Konstantinos Zygalakis (University of Edinburgh) Registration Registration for the conference will open soon. The registration fee (covering three lunches and all coffee breaks) is expected to be around £100. More Information Learn more about the conference, past talks and posters, and this year’s host town, St Andrews, at: https://bioinference.github.io/2026/ If you have any questions, feel free to contact us at bioinference(a)gmail.com or drop me an email. ------ Dr. Massimiliano Tamborrino Reader (Associate Professor) and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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Seminar Chiarini at Tor Vergata, February 2
by Michele Salvi 29 Jan '26

29 Jan '26

Dear all, On Monday, February 2nd, at 14h00 in Aula Dal Passo in the Math Department of the University of Rome Tor Vergata, RoMaDS (https://www.mat.uniroma2.it/~rds/events.php) will host Alberto Chiarini (Università di Padova) with the seminar "Fluctuations of the Simple Exclusion Process on Point Processes” Abstract: The simple exclusion process is one of the most prominent models of interacting particle systems. In this seminar, we consider a resistor network whose nodes are sampled according to a simple point process on R^d and are connected by certain conductances. On top of this resistor network, particles move according to random walks with the rule that there is at most one particle per site. Under soft assumptions on the point process measure and conductances, which include ergodicity, stationarity and certain moment conditions, it is known that the empirical density of particles converges for almost all realisation of the environment to the solution of an heat equation with a certain homogenised diffusivity. In this talk, we examine its equilibrium fluctuations. For d≥3, under the same assumptions that ensure the hydrodynamical limit, we show that the empirical density fluctuation field converges for almost all realisation of the environment, in the sense of finite-dimensional distributions, to a generalised Ornstein-Uhlenbeck process. For d=2, if we require some additional regularity on the environment to have Hölder regularity estimates for solutions to parabolic problems, we can show that the same conclusion holds. We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming: Seminar Chiarini | Meeting-Join | Microsoft Teams <https://teams.microsoft.com/meet/35312566481713?p=TZW9dap5ukSeKLodvC> The seminar is part of the Excellence Project MatMod@TOV.

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ESOBE 2026 conference
by Matteo Iacopini 29 Jan '26

29 Jan '26

Dear all, I’m pleased to announce the 16th ESOBE conference, which will take place on 27-28 August 2026 at LUISS University in Rome. The oﬃcial website is https://esobe2026.github.io/ Keynote speakers ConcepHon Ausin (Universidad Carlos III de Madrid), Radu Craiu (University of Toronto), and Petros Dellaportas (University College London) Submission of Papers and Deadline You are invited to submit a paper for the contributed oral or poster sessions, with a deadline on 27 April 2026. Submissions from all fields of Bayesian econometrics (macro, micro, and financial) are welcome, as well as papers on Bayesian theory, computing, and machine learning. The call for papers is available on the website. Opportunities for PhDs and young researchers * Travel support grant —> PhD students who are members of the EFaB secHon within ISBA may apply for a travel support grant * Young Researchers Session —> PhD students and researchers who received their PhD after August 2021 may apply to present their work in the dedicated oral “Young Researchers Session” Please see the website for further details. For any clarificaHon or specific questions, write an email to esobe2026(a)gmail.com<mailto:esobe2026@gmail.com> Best wishes, Matteo Iacopini La presente e-mail proviene da Luiss Guido Carli e s'intende inviata per scopi lavorativi. Tutte le informazioni ivi contenute, compresi eventuali allegati, sono da ritenersi esclusivamente confidenziali e riservati secondo i termini del vigente D.Lgs. 196/2003 in materia di privacy e del Regolamento europeo 679/2016 - GDPR. È vietato qualsiasi ulteriore utilizzo non autorizzato. Qualora la stessa Le fosse pervenuta per errore, La preghiamo di eliminarla immediatamente e di darcene tempestiva comunicazione. Grazie. This e-mail message is sent by Luiss Guido Carli for business purposes. All informations contained therein, including any attachments, are for the sole use of the intended recipient and may contain confidential and privileged information pursuant to Legislative Decree 196/2003 and the European General Data Protection Regulation 679/2016 - GDPR -. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by soon reply this e-mail and destroy all copies of the original message. Thanks

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summer School on PDEs and Randomness in Leipzig, July 2026
by b4buu7＠gmail.com 29 Jan '26

29 Jan '26

Dear all, this is to announce that at MPI in Leipzig the second edition of the summer school on ''PDE and Randomness'' will take place from the 13th to the 17th of July this year (2026), more information at the following link: https://www.mis.mpg.de/events/series/2nd-summer-school-on-pdes-and-randomne… In this second edition of the summer school on PDEs and Randomness, three speakers will present introductions to their areas of research at the interface of PDEs and probability: Yu Gu (University of Maryland) Lisa Hartung (Universität Mainz) Hendrik Weber (Universität Münster) Additionally, there will be tutorial sessions organized by the junior participants with support from the organizers. Funding towards travel and accommodation is available for early-career participants such as postdoctoral researchers, PhD and master students. Deadline for funding applications is February 28, 2026. Please note that the funding deadline is approaching and there are still some free slots for getting financial support. Kind regards, Francesco.

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Short course at IMT Lucca
by Irene Crimaldi 29 Jan '26

29 Jan '26

Dear all, I would like to bring to your attention the short course "Advanced Topics in Stochastic Modeling and Statistics" (12 hours). I will teach this course in person at IMT Lucca https://www.imtlucca.it/homepage, but it is also possible to attend it online. The course is divided into six lessons in the period April 16-27 2026. The course deals with the following topics: - Conditional expectation (definition, properties); - Martingales and co. (definitions and basic properties, Burkholder transform, stopping theorem and some applications, predictable compensator and Doob decomposition, some convergence results, game theory interpretation, variants); - Introduction to stochastic processes with reinforcement (definition, applications, classical models, recent models, including models with interaction, related statistical tools, ongoing research). Participation in the course is free. Registration as a visiting student is required, following the instructions at https://www.imtlucca.it/corsi-visiting-students Once registered, the class schedule will be provided. Interested students can contact me for further details Best, Irene Crimaldi

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Open Ph.D. position at the University of Luxembourg
by Giovanni Peccati 27 Jan '26

27 Jan '26

Dear Colleagues, The *Department of Mathematics* of the *University of Luxembourg* (*DMATH*) is seeking an excellent candidate for a *PhD position* in the area of *Mathematical Statistics*, with an expected starting date in *2026*. *-----------------------* *Supervisor:* Prof. *Yannick Baraud* (https://math.uni.lu/baraud/Home.html) *PhD topic:* *Classical Bayesian methods can be used to construct estimators with good statistical properties. For example, when the data are i.i.d. and come from a distribution belonging to a parameterised model with a suitable prior distribution, numerous studies show that the posterior distribution is concentrated around the parameter associated with the distribution of the data.* *Despite their popularity, these methods nevertheless have certain limitations. In particular, when the data-generating distribution does not belong to the family of distributions chosen as the model, the estimators obtained may be of poor quality, even when the model provides a good approximation of the truth. This situation can arise, for example, when the sample contains a few outliers due to measurement or transcription errors. More generally, it occurs when the statistical model is only a simplification of reality, which is often the case in practice. The statistical method is then said to suffer from a lack of robustness as it produces unstable estimators that are sensitive to small deviations from the assumed model.* *In this PhD proposal, we offer the opportunity to study a robust alternative to classical Bayesian methods. This is a recent approach, the main properties of which were established in [1] in the context of density estimation. The aim of this PhD proposal is to understand the mathematics behind these new techniques and to extend it beyond density estimation. * *A candidate for this position must have a strong background in analysis, probability and mathematical statistics as well as a taste for theory. * [1] Y. Baraud. From robust tests to Bayes-like posterior distributions. Probab. Theory Related Fields, 188(1-2):159–234, 2024. --------------------------- The successful candidate will join a dynamic research environment with strong international collaborations and access to high-level scientific infrastructure. For further details concerning the position, application procedure, and eligibility requirements, please contact directly Prof. Baraud at the address yannick.baraud(a)uni.lu Please feel free to circulate this announcement within your networks. Best regards, Giovanni Peccati -- Prof. Giovanni Peccati ------------------------------------------ Head of the Department of Mathematics Faculty of Science, Technology and Medicine ------------------------------------------ University of Luxembourg ------------------------------------------ President of the Luxembourg Mathematical Society https://math.uni.lu/sml/ ------------------------------------------ homepage: http://sites.google.com/site/giovannipeccati/home E-mail: giovanni.peccati(a)gmail.com

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seminar Claudio Macci 30/01/26 - Pavia
by Enrico Priola 26 Jan '26

26 Jan '26

Dear Colleagues, We would like to invite you to the following seminar, by Claudio Macci on Friday 30 january 2026, starting at 11 am. Titles and abstract are below. With best regards, Enrico Priola ---- Friday 30 january 2026 at 11 am - Aula Beltrami, via Ferrata 5, Università di Pavia Link Zoom https://unipv-it.zoom.us/j/95012043373?pwd=VaSaGaIDZQnbVWixaqeDzI4uhY5H2I.1 ID riunione: 950 1204 3373 Codice d’accesso: 789010 Speaker: Claudio Macci (Università di Roma Tor Vergata) TITLE Some recent large deviation results on random neural networks ABSTRACT In this talk, I consider random neural networks with Gaussian weights and biases. A well-known result (proved under various assumptions in several references) concerns the convergence in distribution of the network output, in the infinite-width limit, to a centered Gaussian process with i.i.d. components (with the depth $L$ kept fixed). I will present some large deviation results describing a collapse of the network output (which, as expected, converges to the zero vector) when it is multiplied by a scaling factor tending to zero; see [1], where moderate deviations are also studied. In the final part, I will briefly outline some results in a very recent work (see [2]) concerning the deep limit (that is, as $L\to\infty$) for a generic component of the Gaussian process mentioned above. REFERENCES [1] C. Macci, B. Pacchiarotti, G.L. Torrisi. Journal of Applied Probability (2026), in press. [2] S. Di Lillo, C. Macci, B. Pacchiarotti. Submitted, and available on arxiv. -- Enrico Priola Dipartimento di Matematica, Università di Pavia Via Adolfo Ferrata 5, 27100 Pavia tel +39 0382 985639

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LinStat 2026
by Elvira Di Nardo 26 Jan '26

26 Jan '26

International Conference on Trends and Perspectives in Linear Statistical Inference August 24–28, 2026, Poznań University of Technology, Poznań, Poland This is to announce LinStat 2026, an international conference bringing together researchers interested in statistics and its applications, as well as matrix analysis and its use in statistics. The meeting will provide an opportunity to discuss current developments in linear statistical inference and related fields. The conference programme will include plenary lectures and a series of thematic sessions covering linear modelling methods, estimation, testing, and prediction in economic, medical, and social science data; multivariate and high-dimensional data analysis with complex data structures; robustness of statistical methods; variance component estimation in linear and generalized models; design and analysis of experiments; and applications of matrix methods in statistics. Special attention will be given to young scientists. Awards for the best poster and the best talk will be presented to graduate students or researchers with a recently completed Ph.D., and the prize-winning contributions will be promoted by the conference. Plenary Speakers: Syed Ejaz Ahmed (Brock University, Canada) Małgorzata Bogdan (University of Wrocław, Poland) Elvira Di Nardo (University of Turin, Italy) Werner G. Müller (Johannes Kepler University Linz, Austria) Thomas Mathew (University of Maryland Baltimore County, USA) Jianfeng Yao (The Chinese University of Hong Kong, Shenzhen, China) Further information is available at https://linstat2026.put.poznan.pl/ <https://linstat2026.put.poznan.pl/?utm_source=chatgpt.com> -- %------------------------------------------------------- Elvira Di Nardo Dept. Mathematics "G. Peano" University of Torino Via Carlo Alberto 10 10123 Torino, Italia tel. +39 0116702862 fax +39 0116702878 www.elviradinardo.it *https://sites.google.com/view/elviradinardo <https://sites.google.com/view/elviradinardo>* %-------------------------------------------------------

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Postdoc in Luxembourg
by Giovanni Peccati 23 Jan '26

23 Jan '26

Dear Colleagues, A 3-year post-doc position is open in my group, with a general focus on stochastic analysis. The earliest possible starting date is May 1st, 2026. Applications should be sent through the webpage below, which also contains more information: http://emea3.mrted.ly/43wi6 With my best regards, Giovanni Peccati -- Prof. Giovanni Peccati ------------------------------------------ Head of the Department of Mathematics Faculty of Science, Technology and Medicine ------------------------------------------ University of Luxembourg ------------------------------------------ President of the Luxembourg Mathematical Society https://math.uni.lu/sml/ ------------------------------------------ homepage: http://sites.google.com/site/giovannipeccati/home E-mail: giovanni.peccati(a)gmail.com

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BioInference2026 at St Andrews - Scotland!
by Massimiliano Tamborrino 23 Jan '26

23 Jan '26

Dear all, We are thrilled to announce that BioInference2026 is going to St Andrews, Scotland, from the 10th to the 12th of June, 2026! BioInference brings together researchers from statistics and mathematical modelling who work on biological systems, creating a lively space for exchanging ideas, sparking collaborations, and building community across all career stages. After last year’s successful three-day meeting in Bardonecchia, we’re excited to return with another three days packed with invited and contributed talks, poster sessions, and dedicated networking opportunities. ________________________________ Call for Abstracts We now invite submissions for oral or poster presentations on any work involving mathematical modelling, statistical methods, or machine learning approaches for broadly interpreted biological problems. All presentations will be in person with no parallel sessions. Abstract deadline: 31 January 2026 Submit here: Abstract Submission Link<https://docs.google.com/forms/d/e/1FAIpQLSc8VlIsRWPs3acc1lkOw4Uap0IWmKVSVaD…> ________________________________ Invited Speakers for 2026 We are delighted to host an exceptional line-up of invited speakers: * Marta Belchior Lopes<https://martabelchiorlopes.wixsite.com/website> (Universidade NOVA de Lisboa) * Sokratia Georgaka<https://research.manchester.ac.uk/en/persons/sokratia.georgaka> (University of Manchester) * Jochen Kursawe<https://www.st-andrews.ac.uk/mathematics-statistics/people/jk263/> (University of St’ Andrews) * Theo Kypraios<https://www.maths.nottingham.ac.uk/plp/pmztk/> (University of Nottingham) * Sara Wade<https://sarawade.owlstown.net/> (University of Edinburgh) * Michael Whitehouse<https://michael-whitehouse.github.io/> (Imperial College London) * Konstantinos Zygalakis<https://webhomes.maths.ed.ac.uk/~kzygalak/> (University of Edinburgh) ________________________________ Registration Registration for the conference will open in 2026. The registration fee (covering three lunches and all coffee breaks) is expected to be around £100. ________________________________ More Information Learn more about the conference, past talks and posters, and this year’s host town, St Andrews, at: https://bioinference.github.io/2026/ If you have any questions, feel free to contact us at bioinference(a)gmail.com<mailto:http://bioinference@gmail.com>. Kind regards, Massimiliano on behalf of the 2026 BioInference Organisers ------ Dr. Massimiliano Tamborrino Reader (Associate Professor) and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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Workshop Gnampa - 27 Gennaio - Luiss
by Marta Leocata 22 Jan '26

22 Jan '26

Cari colleghi, vi scrivo per comunicarvi che martedì 27 gennaio, presso la LUISS in Viale Romania 32, si terrà il workshop dal titolo “Mathematical Models for Climate Impacts”, che costituisce l’evento conclusivo del progetto GNAMPA “Mathematical methods for climate impacts: control, game theory, and inverse problems for EBCM”. In allegato trovate la locandina dell’evento. Per partecipare in presenza, o online, inviate una mail a mleocata(a)luiss.it <mailto:mleocata@luiss.it>. Marta

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LiBERA midterm workshop: Stochastic Dynamics, Interacting Particle Systems and Applications
by Stefano Pagliarani 21 Jan '26

21 Jan '26

Dear all, It is a pleasure to announce the LiBERA<https://site.unibo.it/libera/en> midterm workshop: International Workshop on Stochastic Dynamics, Interacting Particle Systems and Applications taking place 14th-19th June 2026 at Instituto Superior Técnico, Lisbon, Portugal The registration is open: https://sites.google.com/view/liberamidtermworkshop/home Title and abstract submission for short talks and posters is available until February 28th, 2026. Invited Speakers: Alekos Cecchin, University of Padova Maria Fernanda Cipriano, NOVA University Lisbon Ana Bela Cruzeiro, Instituto Superior Técnico Gonçalo dos Reis, University of Edinburgh Liliana Esquivel, University of Puerto Rico Noufel Frikha, Université Paris 1 Panthéon-Sorbonne Dario Gasbarra, University of Vaasa Erika Hausenblas, Montanuniversität Leoben (to be confirmed). Michael Högele, Universidad de Los Andes Mauricio Junca, Universidad de Los Andes Kush Kinra, NOVA School of Science and Technology Mateusz Majka, Heriot-Watt University Ester Mariucci, Laboratoire de Mathématiques de Versailles, Université de Versailles Saint-Quentin Leonard Monsaingeon, NOVA.Math NOVA FCT Maria João Oliveira, Universidade Aberta Stefano Pagliarani, University of Bologna Andrea Pascucci, University of Bologna Antonelle Pesce, University of Bologna Beatriz Salvador, Instituto Superior Técnico Günter Schütz, Instituto Superior Técnico Jonas Tölle, Aalto University Organizing committee Gerardo Barrera Vargas (CAMGSD, IST, Lisbon). Patrícia Gonçalves (CAMGSD, IST, Lisbon). Tiecheng Xu (CAMGSD, IST, Lisbon). LiBERA: https://site.unibo.it/libera/en

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[STAR Seminars] Wed Jan 21 - Susanna Dehò
by Leonardo Tarquini 21 Jan '26

21 Jan '26

Dear all, Join us for our upcoming talk in the STAR seminar<https://www.mn.uio.no/math/english/research/projects/storm/events/seminars/…> series on Wednesday, January 21st, from 11:00 to 12:00 (Oslo time). As always, the talk will take place in a hybrid format: participants in Oslo can attend the talk in Room 723 in Niels Henrik Abels hus, whereas the international audience will be able to follow the talk via Zoom<https://uio.zoom.us/j/67027975721>. The speaker is Susanna Dehò (University of Milano "La Statale") with the talk: Title: Symmetries of SDEs: from invariance properties to integration by parts formulas Abstract: The study of symmetries in differential equations, pioneered by Sophus Lie, constitutes a fundamental geometric approach to understand the invariance properties governing a dynamical system. By identifying the groups of transformations that preserve the equation’s structure, this framework provides systematic tools for order reduction, the construction of exact solutions, and the simplification of complex problems. Although symmetry analysis stands as a classical pillar for deterministic differential equations (ODEs and PDEs), supported by extensive literature, its extension to Stochastic Differential Equations (SDEs) represents a relatively recent field of research. Recent literature has also highlighted significant connections with the symmetries of the associated Fokker-Planck or Kolmogorov equations. Furthermore, the application of Lie symmetry theory to SDEs enables the derivation of integration by parts formulas inspired by Bismut’s variational approach to Malliavin calculus, with notable applications to the analysis of the law and regularity of the processes, as well as to the development of a stochastic calculus of variations. In this talk, we will discuss various notions of symmetry for SDEs, highlighting their connections to established invariance properties of well-known stochastic models and the symmetries of Kolmogorov PDEs. We will analyze how a geometric approach, inspired by Lie’s deterministic framework, enables the development of powerful computational tools for symmetry calculation. Subsequently, we will demonstrate how applying this geometric theory allows for the constructive derivation of an integration by parts formula for SDEs, rooted in Bismut’s approach. Finally, we will show how this integration by parts formula acts as a generating identity for well-known probability formulas, and discuss its connections to Stein’s identities. This contribution is based on a joint work with F.C. De Vecchi, P. Morando and S. Ugolini. Susanna Dehò, Francesco C. De Vecchi, Paola Morando, and Stefania Ugolini. Random rotational invariance of integration by parts formulas within a Bismut-type approach. Journal of Mathematical Physics: in print, 2025. We are looking forward to seeing you! Best regards, Giulia, Leonardo and Pere

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OWABI - Louis Sharrock - 29th January - 11am UK time
by Massimiliano Tamborrino 20 Jan '26

20 Jan '26

Dear all, the first One World Approximate Bayesian Inference (OWABI) seminar www.warwick.ac.uk/owabi<http://www.warwick.ac.uk/owabi> of the year is quickly approaching! Our next speaker is Louis Sharrock<https://louissharrock.github.io/> <https://louissharrock.github.io/> (University College London) who will talk about "Sequential Neural Score Estimation: Likelihood-free inference with conditional score base diffusion models" on Thursday the 29th January at 11am UK time, with an abstract reported below. The talk will be streamed on the OWABI MS Team channel General | OWABI Seminar: One World Approximate Bayesian Inference Seminar | Microsoft Teams<https://teams.microsoft.com/l/team/19%3AdhZ_4e_XLNJzCXPAMzTvT6BZ5KShEETkd_w…>, at the link below Join: https://teams.microsoft.com/meet/38899039621449?p=nCtiqu8zYnZNL2LGR8 Meeting ID: 388 990 396 214 49 Passcode: f3Dh22XL We are looking forward to seeing you at the next OWABI seminar, Best, Massimiliano on the behalf of the OWABI seminar organisers Speaker: Louis Sharrock (University College London) Title: Sequential Neural Score Estimation: Likelihood-free inference with conditional score base diffusion models Abstract: We introduce Sequential Neural Posterior Score Estimation (SNPSE), a score-based method for Bayesian inference in simulator-based models. Our method, inspired by the remarkable success of score-based methods in generative modelling, leverages conditional score-based diffusion models to generate samples from the posterior distribution of interest. The model is trained using an objective function which directly estimates the score of the posterior. We embed the model into a sequential training procedure, which guides simulations using the current approximation of the posterior at the observation of interest, thereby reducing the simulation cost. We also introduce several alternative sequential approaches, and discuss their relative merits. We then validate our method, as well as its amortised, non-sequential, variant on several numerical examples, demonstrating comparable or superior performance to existing state-of-the-art methods such as Sequential Neural Posterior Estimation (SNPE). Keywords: diffusion models, simulation based inference, sequential methods. Reference: L. Sharrock, J. Simons, S. Liu, M. Beaumont, Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models<https://proceedings.mlr.press/v235/sharrock24a.html>. PLMR, 235, 44565-44602, 2024. ------ Dr. Massimiliano Tamborrino Reader (Associate Professor) and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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StatMech Summer School 2026 - Random Interacting Systems, 31/08-4/09, Padova
by Alberto Chiarini 19 Jan '26

19 Jan '26

*************************** StatMech Summer School 2026 - Random Interacting Systems *************************** We are pleased to announce the StatMech Summer School 2026 to be held in Padova during the week of August 31 - September 4, 2026 https://sites.google.com/view/ris-school-26/home The theme of this school is Random Interacting Systems, which play a central role in modern probability and statistical mechanics and naturally arise in a wide range of applications at the interface of mathematics, physics, biology, and computer science. The school consists of two minicourses by Alessandra Faggionato (Sapienza University of Rome) Hubert Lacoin (IMPA) These will be complemented by selected lectures and by two sessions of short presentations by young participants, which are an important component of the school as they promote interaction among participants and provide a panorama of current research in probability. Registration is free but mandatory through the following link ("Register here!" button) https://sites.google.com/view/ris-school-26/home Some financial support to a limited number of young participants will be available. The deadline for requesting financial support is April 15th, 2026, and will be reviewed in May 2026. Contacts: ris-school26(a)math.unipd.it The organizers, Alessandra Bianchi Alberto Chiarini Giambattista Giacomin Vanessa Jacquier

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Seminario on-line PRISMA lunedì 2 febbraio 2026 - L. Zambotti & A. Bonicelli
by Sonia Mazzucchi 19 Jan '26

19 Jan '26

Seminari on-line del gruppo UMI - PRISMA (http://www.umi-prisma.polito.it/) I seminari PRISMA hanno un formato di "colloquium" per creare un'occasione di scambio e discussione con tutta la comunità dei probabilisti e statistici italiani. Ogni giornata comprende due relatori che tengono due seminari di 30 minuti strettamente connessi, per presentare alla comunità una prospettiva sul proprio ambito di ricerca. Dallo scorso anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI: https://www.youtube.com/playlist?list=PLmySpc-jrtAMSrfXSQy_lBRY2sGEWnyir Il prossimo appuntamento è per *lunedì 2 febbraio* 2026. I relatori saranno *Lorenzo Zambotti *(Sorbonne Université) e *Alberto Bonicelli* (Sorbonne Université) che parleranno di: * La rivoluzione dell’analisi stocastica « pathwise »*. con il seguente orario: 16:00 Primo seminario 16:30 Pausa e discussione 16:45 Secondo seminario 17:15 Conclusione e discussione Trovate di seguito il riassunto. I seminari verranno trasmessi via Zoom al seguente link: https://unitn.zoom.us/j/87499722273 ID riunione: 874 9972 2273 Codice d’accesso: 412980 Vi aspettiamo numerosi! Alberto Chiarini e Sonia Mazzucchi %%%%%%%%%%%%%%%%%%%%%%%%%%%% RELATORI: Lorenzo Zambotti e Alberto Bonicelli (Sorbonne Université) TITOLO: La rivoluzione dell’analisi stocastica « pathwise ». RIASSUNTO: L’analisi stocastica, creata da Itô negli anni 40, ha dominato la teoria dei processi stocastici fino alla fine del XX secolo e oltre. Negli ultimi 25 anni una serie di nuove idee ha arricchito questa teoria e permesso dei progressi spettacolari, in particolare nello studio delle equazioni stocastiche alle derivate parziali. Le tecniche principali in questa area di ricerca sono i rough paths, il sewing lemma, le strutture di regolarità e le distribuzioni para-controllate. In questo seminario vogliamo presentare le idee principali di questo settore, in particolare la nozione di integrazione stocastica « pathwise », il teorema di ricostruzione e le espansioni di Taylor generalizzate.

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PhD in Statistics & Computer Science @Bocconi - deadline: 5 February
by Antonio Lijoi 18 Jan '26

18 Jan '26

*********************** PhD in Statistics and Computer Science - a.y. 2026-2027 Call for applications for PhD student positions *********************** The Bocconi PhD School provides 12 scholarships for the PhD in Statistics and Computer Science, and 2 positions with tuition waiver. * Scholarship amount * 27,000 euros per annum (year 1) 23,000 euros per annum (years 2-4) Further funding may be available through teaching and research assistantship. Visit www.unibocconi.eu/admissionphd for detailed information and for starting the online application process. ** Applications are due by February 5, 2026 ** Within the PhD School at Bocconi University, the four-year PhD program in Statistics and Computer Science is a high profile and rigorous doctoral program that develops strong mathematical, statistical, computational and programming backgrounds. The program is structured into two curricula: Statistics (6 scholarships) and Computer Science (6 scholarships). Students may apply to either one of the two curricula or to both. Highly qualified and motivated students with M.Sc. degrees in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering and related areas, as well as other quantitatively-oriented fields, are encouraged to apply for admission. Applicants should hold, or be on their way to hold, a graduate degree or equivalent. For further information about the program can be found at www.unibocconi.eu/phdstatscompscience

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abstract submission: DSSV conference, Trento, Italy (June 29 - July 1, 2026)
by Claudio Agostinelli 18 Jan '26

18 Jan '26

Registration and abstract submission now open for Data Science, Statistics & Visualisation (DSSV 2026) Conference dates: June 29 - July 1, 2026 Location: University of Trento, Italy Conference web site:https://datascience.maths.unitn.it/dssv2026/ *Abstract submission*:https://datascience.maths.unitn.it/dssv2026/participate.html *Deadline* for submission: 25 march 2026 We invite you to contribute to methodological or applied aspects of data science, statistics and visualisation, and in particular those which are linking and integrating these subject areas. Keynote speakers: Alessandro Rinaldo, The University of Texas at Austin, USA Menna El-Assady, ETH Zurich, Switzerland Catherine Matias, Sorbonne University, France We look forward to welcoming you in Trento! Best wishes, Claudio Agostinelli (on behalf of all organizers)

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SPASS seminar: Umberto Pappalettera
by federico.butori＠sns.it 17 Jan '26

17 Jan '26

Dear Colleagues, We would like to invite you to the following SPASS seminars, *Some results on the Kraichnan model* by Umberto Pappalettera (Universität Basel) on Tuesday 20.1.2026 at 14:00 CET in Aula Magna, Dipartimento di Matematica, UNIPI. Online participants may join the seminar at https://meet.google.com/ajh-zrxc-wds Best, F. Butori on behalf of the organizers https://sites.google.com/unipi.it/spass ------------------- Abstract: We discuss a number of properties of ``turbulent'' solutions to the Kraichnan model constructed by Le Jan and Raimond in [Ann. Probab. 30(2): 826-873, 2002]. We cover the full range of compressibility ratios giving spontaneous stochasticity of particle trajectories. More specifically, we prove generic anomalous dissipation of the mean energy and fractional Sobolev regularity of solutions, for every square-integrable initial datum. The proof of the latter is obtained as a consequence of a new sharp regularity result for the degenerate parabolic PDE satisfied by the associated two-point self-correlation function, which is of independent interest.

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Fwd: [ESOBE] MTSA 2026 - Summer School - Modern Topics in Time Series Analysis
by Roberto CASARIN 16 Jan '26

16 Jan '26

Apologies for cross-posting -- Roberto Casarin, PhD Professor of Econometrics Ca' Foscari University of Venice San Giobbe 873/b - 30121 Venezia, Italy http://sites.google.com/view/robertocasarin/ ---------- Forwarded message --------- From: QED via esobe <esobe(a)wu.ac.at> Date: Fri, 16 Jan 2026, 10:41 Subject: [ESOBE] MTSA 2026 - Summer School - Modern Topics in Time Series Analysis To: QED <QED(a)aau.at> Dear Sir or Madam, We are pleased to announce the 5th edition of the *Klagenfurt-Bielefeld * *Summer School on* *Modern Topics in Time Series Analysis* which will take place *September 7–11, 2026* in *Klagenfurt, Austria*. For key information on the *MTSA Summer School 2026 *see the attached* flyer *with more details to be found at www.aau.at/econ/mtsa2026. We would appreciate it if you could disseminate this information among any interested PhD students and researchers and post it via any channels, newsletters, mailing lists, etc. you see fit. Best regards, Christina Kopetzky [image: UNI_LOGO_positiv] Christina Kopetzky Dept. of Economics, Analytics and Operations Research Quantitative Economics Division (Prof. Martin Wagner) University of Klagenfurt Universitätsstraße 65-67 9020 Klagenfurt Austria Tel: +43 463 2700 4102 / Fax: +43 463 2700 994102 Mail: QED(a)aau.at / christina.kopetzky(a)aau.at www.aau.at/vwl - www.aau.at/econ www.aau.at/econ/kwg www.aau.at/econ/mtsa2026 _______________________________________________ ESOBE mailing list Moderated mailing list for announcements related to Bayesian econometrics. To post, write to esobe(a)wu.ac.at. To contact the admin, write to esobe-owner(a)wu.ac.at. To unsubscribe or change your settings, visit https://mailman.wu.ac.at/mailman/options/esobe.

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FSMP master scholarships in Paris - deadline February 3
by CRISTINA TONINELLI 16 Jan '26

16 Jan '26

Cari tutti, potreste per favore inoltrare il seguente messaggio a studenti interessati a svolgere una laurea magistrale a Parigi? Cari saluti, Cristina ________________________________ ________________________________ Dear colleagues, the Fondation Sciences Mathématiques de Paris offers one- or two-year scholarships for international students wishing to enrol in mathematics Master’s programmes in Paris. The application deadline is February 3, 2026. More information, as well as the online application form, can be found here: https://sciencesmaths-paris.fr/en/pgsm-master --------------------------------------------------------------------------------------------- Cristina Toninelli Postal Address: Ceremade Univ.Paris Dauphine Place du Marechal de Lattre de Tassigny 75775 Paris Cedex 16 - France Office: P207bis --------------------------------------------------------------------------------------------

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ABS (Applied Bayesian Statistics) school on "Interpretable Bayesian Learning,for Physical and Engineering Sciences" in Como, Italy (July 6-10, 2026)
by Fabrizio Ruggeri 15 Jan '26

15 Jan '26

Dear all, We are glad to inform you that ABS26, the next Applied Bayesian Statistics school, running since 2004, will be held in the city of Como (Italy), along the Lake Como shoreline at the beautiful Villa del Grumello, on July 6-10, 2026. The school is organised by CNR IMATI (Institute of Applied Mathematics and Information Technologies at the Italian National Research Council in Milano), in cooperation with Fondazione Alessandro Volta. The topic will be *Interpretable Bayesian Learning for Physical and Engineering Sciences.* The lecturer will be Prof. *Simon Mak *(Department of Statistical Science, Duke University), a leading expert in integrating domain knowledge (e.g., scientific theories, mechanistic models, guiding principles) as prior information for cost-efficient statistical inference, prediction, and decision-making., with the support of* Yen-Chun Liu* (Department of Statistical Science, Duke University), a brilliant PhD student of Prof. Mak, specializing in Bayesian optimization, Gaussian processes, and reinforcement learning. If interested, you can register on the school website: *https://abs26.imati.cnr.it/* We currently only accept payments by bank transfer, but credit cards will be accepted as soon as possible. As in the past, there will be a combination of theoretical and practical sessions, along with presentations by participants on their work (past, present, and future) related to the school's topic. OUTLINE: This course investigates the rising topic of interpretable statistical learning, motivated by timely needs from modern scientific and engineering applications. For such applications, state-of-the-art machine learning methods often yield analyses that are uninterpretable to scientists, which greatly obfuscates scientific findings and decision-making. Interpretable Bayesian learning provides an elegant and effective solution by embedding scientific principles (e.g., boundary conditions, mechanistic equations) within its prior specification. In this course, we will cover a broad spectrum of interpretable Bayesian learning methods (with theory and algorithms), providing a cohesive roadmap for this recent and rapidly-evolving area of study. This will be complemented by practical case studies from ongoing projects in particle physics, mechanical engineering, and bioengineering. Emphasis will be made on novel directions for research in this promising area. Topics will cover * Fundamentals of Gaussian process (GP) surrogate modeling: prediction, parameter inference, experimental design * Decision-making with GP surrogates: Bayesian optimization, active learning, Bayesian inverse problems * Markov Chain Monte Carlo (MCMC) methods * Boundary-informed GP modeling * Shape-constrained (e.g., monotone, isotonic, convex) GP modeling * Mechanistic GP modeling * Physics-integrated neural networks, its Bayesian variants and recent developments * Dynamical system recovery: SINDy, Bayesian SINDy, and recent developments We hope you will be interested in the school and we would like to meet you in Como. We invite you also to share the information with people potentially interested. Best regards Elisa Varini and Fabrizio Ruggeri Executive Director and Director of ABS26 -- Fabrizio Ruggeri President CNR IMATI International Statistical Institute Via Alfonso Corti 12fabrizio(a)mi.imati.cnr.it I-20133 Milano (Italy)www.mi.imati.cnr.it/fabrizio

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Seminar by H. Vanneuville at Milano-Bicocca (Thu 22 Jan, 11:00, Room U9-05)
by Francesco Caravenna 15 Jan '26

15 Jan '26

I am pleased to announce the following seminar: Hugo Vanneuville (Université Grenoble Alpes) A new proof of exponential decay in percolation Thursday 22 January at 11:00 Room U9-05 (Building U9, Viale dell'Innovazione 10, Milan) An abstract follows below. All interested participants are welcome. Best regards, Francesco Caravenna %%%%%%%%%%%%%%%%%%%%%%%%%% Abstract. Bernoulli percolation of parameter p on Z^d is defined by keeping each edge of Z^d with probability p, independently of the other edges. The exponential decay theorem - proven in 1987 by Menshikov and independently by Aizenman and Barsky - can be stated as follows: If the cardinality of the cluster of 0 is a.s. finite at some parameter p, then it has an exponential moment at every parameter q<p. I like to state this theorem this way because it illustrates the fact that "decreasing p infinitesimally has a regularising effect on the clusters". The goal of this talk is to discuss this theorem and to propose a new proof. Contrary to the other proofs, we do not rely on differential inequalities but rather on stochastic comparisons. %%%%%%%%%%%%%%%%%%%%%%%%%% -- __________________________________ Francesco Caravenna Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca https://fcaraven.github.io/ __________________________________

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Seminar Stecconi at Tor Vergata, January 19
by Michele Salvi 15 Jan '26

15 Jan '26

Dear all, On Monday, January 19th, at 14h00 in Aula Dal Passo of Tor Vergata Math Department, RoMaDS (https://www.mat.uniroma2.it/~rds/events.php) will host Michele Stecconi (University of Luxembourg) with the seminar "Universal cancellations in Uniform Random Waves” Abstract: I will present the model of "Uniform Random Waves", obtained by dividing a Gaussian random wave by its L2-norm, on the sphere and other Riemannian manifolds. This choice has deep motivations, although the Gaussian case predominates in the existing literature. I will compare the analysis of these two classes of random fields, focusing on (Wiener) chaos decomposition of geometric functionals and on new surprising (Berry) cancellation phenomena that arise in the uniform setting. Based on the homonymous paper, with L. Gass, D. Marinucci, G. Peccati, F. Pistolato. We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming: Seminar Stecconi | Meeting-Join | Microsoft Teams <https://teams.microsoft.com/meet/33814083424377?p=te2IOvlzweY2lJ5LTw> The seminar is part of the Excellence Project MatMod@TOV.

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SPASS seminar: Ivan Kryven - Fri 23 Jan at 10.00
by Elia Bisi 14 Jan '26

14 Jan '26

Dear Colleagues, We would like to invite you to the following SPASS seminar (joint organised by UniPi, SNS, UniFi and UniSi): A Limit Theorem for the Total Progeny Distribution of Multitype Branching Processes by Ivan Kryven (Utrecht University). The seminar will take place in person on Friday 23rd January at 10:00 in Aula Tricerri, Department of Mathematics and Computer Science, University of Florence. It will be also streamed online here: https://meet.google.com/boc-aphg-bbk On behalf of the organisers, Elia Bisi ------------------- Abstract: Multitype branching processes model random trees whose vertices carry types, with each vertex producing offspring according to a type‑dependent multivariate distribution. In this talk, I will present a limit theorem describing the behavior of such processes in the noncritical regime. Specifically, we show that the relative frequencies of the different types in any finite realization converge to a deterministic vector, and that the distribution of the total progeny exhibits exponential decay. These results require only that all moments of the offspring distribution exist. The proof combines several analytic tools, including the Lagrange–Good and arborescent Lagrange inversion formulas, a measure‑tilting argument, and a local limit theorem. I will also discuss applications to models such as random graphs and multi‑component coagulation processes. Joint work with Jochem Hoogendijk and Rik Versendaal. ————————— Elia Bisi Assistant Professor (RTT) University of Florence Department of Mathematics & Computer Science Personal homepage Florence Probability group

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Workshop announcement: "Spreading dynamics in random environments" at WIAS Berlin: July 06-08 2026
by Benedikt Jahnel 14 Jan '26

14 Jan '26

Dear owner, would you be so kind and allow me to send the following advertisement for a workshop. Thanks and best regards, Benedikt ========== Dear colleagues, the registration is now open for the workshop „Spreading dynamics in random environments" taking place July 06-08 2026 at WIAS Berlin. Understanding how infections or information propagate through populations, or more generally, through complex networks embedded in space, is a central challenge of the modern world. This workshop brings together both established experts and early-career researchers working on mathematical approaches to information and infection spread in random environments. The program will feature a mini-course by Alexandre Stauffer, complemented by invited research talks from other participants. Speakers: Prof. Alexandre Stauffer, Kings College London (Minicourse) David Coupier (IMT-Université de Lille) Marta Dai Pra (Universität Bielefeld) John Fernley (University of Warwick) Lisa Hartung (Universität Mainz) Johannes Lengler (ETH Zurich) Laurent Ménard (Université Paris Nanterre) Cornelia Pokalyuk (Universität Lübeck) Bruno Schapira (Université Lyon 1) Marie Théret (Université Paris Nanterre) Stefanie Winkelmann (Zuse Institut Berlin) Christian Mönch (TBC) More details and registration can be found at https://wias-berlin.de/workshops/SDRE26/ Registration is free but mandatory. We look forward to seeing you in Berlin, with best regards, Jonas Köppl, Lukas Lüchtrath, and Benedikt Jahnel PS: This workshop is possible thanks to the support of the SPP2265 (through the German DFG), the Berlin Cluster of Excellence Math+, and WIAS Berlin. -- Prof. Dr. Benedikt Jahnel Head of Leibniz Group DYCOMNET Weierstrass Institute for Applied Analysis and Stochastics (WIAS) Anton-Wilhelm-Amo-Str. 39 10117 Berlin, Germany Phone +49 30 20372-445 https://www.wias-berlin.de/people/jahnel/?lang=1 Legal Notice <https://www.wias-berlin.de/about/imprint.jsp> Legal entity: Forschungsverbund Berlin e. V. | Rudower Chaussee 17 | 12489 Berlin, Germany Registered office: Berlin – Registered at the Berlin-Charlottenburg local court – Reg. No.: VR 12174 B | VAT number: DE 136785011 Joint power of attorney: Prof. Dr. Michael Hintermüller (Director of the WIAS) and Martin Böhnke (Managing Director of the FVB)

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EFI 11 Padova: program and early bird approaching! (fwd)
by Tiziano Vargiolu 14 Jan '26

14 Jan '26

Dear all, we are glad to inform you that the preliminary program of Energy Finance Italia 11, to be held at Padova from February 2 to 4, is now online at https://events.math.unipd.it/EFI11/ The conference puts together researchers and practitioners working in all areas of Energy-Finance & Climate-Change related research in economics, finance, engineering, data science and mathematics. Young researchers and practitioners are especially welcome. We take advantage of this communication to remind all interested people that the deadline for early bird registration is Jan. 18, 2026 (i.e. *this Sunday*). More information are available in the website https://events.math.unipd.it/EFI11/ Looking forward to meet you in Padova! Best regards Tiziano -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu --------------------------------------------------------------------------

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13th StatLearn workshop, April 1-3, Grenoble
by Guillaume Kon Kam King 14 Jan '26

14 Jan '26

Dear colleagues, Please find below some information regarding the StatLearn conference, which will take place in Grenoble in early April. Best regards, Guillaume ------ Dr. Guillaume KON KAM KING Chargé de recherches/Senior Research Fellow INRAE Université Paris-Saclay, INRAE, MaIAGE, 78350, Jouy-en-Josas, France ---------- Forwarded message ---------- *From:* Julyan Arbel <julyan.arbel(a)inria.fr> *Date:* Jan 12, 2026 at 16:53 +0100 *Subject:* 13th StatLearn workshop, April 1-3, Grenoble Dear colleagues, We have the pleasure to announce that the 13th StatLearn workshop <https://statlearn.sciencesconf.org/> will take place from April 1 to 3, 2026, in Grenoble, France. This workshop will focus on recent developments in statistical machine learning. The program is built around a tutorial and four plenary sessions featuring invited speakers. Registration is free but mandatory, and must be completed before February 27 on the event’s website: https://statlearn.sciencesconf.org/ A poster session will be organized, together with a cocktail, on April 1. Participants willing to present a poster should provide a title and abstract when completing the registration form. Program: April 1, morning: Tutorial on diffusion models - Gabriel Victorino Cardoso (École des Mines/PSL University) April 1, afternoon: Session 1 – Causality - Julie Josse (Inria Université Côte d’Azur) - Krikamol Muandet (CISPA, Saarbrucken) - Alexander Reisach (MAP5) April 1, evening: poster session and cocktail April 2, morning: Session 2 – Generative Models - Stéphane Girard (Inria Grenoble) - Eric Vanden-Eijnden (Courant Institute of Mathematical Sciences, NYU) - Constance Douwes (Centrale Méditerranée/LIS) April 2, afternoon: Session 3 – Nonconvex optimization - Nelly Pustelnik (CNRS, ENS Lyon) - Nicolas Boumal (EPFL) - Le Quoc Tung (UGA/LJK) April 3, morning: Session 4 – Sequential and reinforcement learning - Émilie Kaufman (CNRS/CRIStAL, Lille) - Chloé Rouyer (Postdam University/DeLTA Lab) - Michal Valko (Stealth Startup, London) We are looking forward to seeing you in Grenoble on April 1-3, 2026. The organizers Julyan

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