January 2026 - Random - Mailing list — Dipartimento di Matematica, UniPI

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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I: PhD position
by Federico Sau 14 Jan '26

14 Jan '26

Buongiorno a tutte e tutti, Ricevo e inoltro con piacere questa opportunità di dottorato su integrable systems a Louven, in Belgio. Cordiali saluti, F ________________________________ From: Tamara Grava <grava(a)sissa.it> Sent: Tuesday, January 13, 2026 12:25 To: SAU FEDERICO <FEDERICO.SAU(a)units.it>; chiara.franceschini(a)unimore.it <chiara.franceschini(a)unimore.it> Subject: Fwd: PhD position Carissimi, spero tutto bene con voi. Se volete diffondere nel vostro dipartimento. E' un ottima occasione di dottorato. A presto, Tamara Begin forwarded message: From: Christophe Charlier <christophe.charlier(a)uclouvain.be> Subject: PhD position Date: 8 January 2026 at 16:36:46 GMT To: Tamara Grava <grava(a)sissa.it>, Tamara Grava <tamara.grava(a)bristol.ac.uk> Hi Tamara, My best wishes for the new year! How are you doing? I have another opening for a PhD position, and I would be very grateful if you could circulate the following announcement. The research group Geometry, Physics, and Probability (GPP) of the Institute for Research in Mathematics and Physics (IRMP) of UCLouvain is offering a PhD research fellowship in the framework of the ERC Research Project “Asymptotic analysis of repulsive point processes and integrable equations”. The research interests of candidates include preferably one or several of the following topics: complex analysis, special functions, partial differential equations, and probability. The candidate will be working on topics such as random matrix theory, integrable differential equations, random tilings, determinantal point processes, Riemann-Hilbert problems, orthogonal polynomials, depending on the candidate’s interests. There are no teaching duties associated with this position. The duration of the fellowship is 2+2 years. Salary scales lie around 2450 € net monthly. Furthermore, working conditions are flexible and travel funds will be made available to the successful candidate. Applicants should submit their application file to christophe.charlier(a)uclouvain.be<mailto:christophe.charlier@uclouvain.be> in the form of a single pdf-file, containing: - a detailed curriculum vitae, including a list of courses and the grades received; - a short motivation letter of at most one page; - the names and e-mail addresses of at least two academic referees. The review of the applications will begin on June 19, 2026. Applications received after this date will be considered until the position is filled. The starting date is flexible but expected between September 2026 and October 2026. More information about the research activities of our group can be found here: https://sites.google.com/view/rmtww/home Best regards, Christophe

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Dr. Anna Gallo's seminar at University of Milano-Bicocca.
by Giorgio Rizzini 14 Jan '26

14 Jan '26

Dear all, we are pleased to announce the following seminar by Dr. Anna Gallo (IMT School for Advanced Studies Lucca) on *Thursday, January 15th 2026,* starting at 11:00 in room 4057, the Department of Statistics and Quantitative Methods, University of Milano-Bicocca (Milan): *Rethinking balance theory: a probabilistic approach to the study of signed networks* *Abstract:* Networks provide a powerful language to model interacting systems by representing their units as nodes and the interactions between them as links. Interactions can be connotated in several ways, such as binary/weighted, undirected/directed, etc. In the present talk we focus on the positive/negative connotation- modelling trust/distrust, alliance/enmity, friendship/conflict, etc. - by considering the so-called signed networks. Rooted in balance theory, a psychological framework that has been proposed to model human relationships, the study of signed networks has found application in fields as different as biology, ecology, economics. Here we approach it from the perspective of statistical physics, by extending the framework of Exponential Random Graph Models to the class of binary, un/directed, signed networks and employing it to assess the significance of frustrated patterns in biological, economic and social networks. The degree of balance critically depends on i) the considered system and ii) the employed benchmark: while social networks align with balance theory - with heterogeneous null models supporting its strong version and homogeneous null models supporting its weak version, biological networks often exhibit a pronounced level of frustration. For what concerns binary, directed networks, instead, we explore the relationship between frustration and reciprocity and suggest an alternative interpretation of balance in the light of directionality. Finally, we investigate signed structures at the mesoscopic scale by evaluating the tendency of a configuration to be either `traditionally' or `relaxedly' balanced. For further information, please write to *rosanna.grassi(a)unimib.it <rosanna.grassi(a)unimib.it>* Best regards.

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