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AI4I IAS Seminar #21/2026 – A shallow story about sustainable AI
by IAS 11 Nov '26

11 Nov '26

Dear all, I would like to share with you an upcoming AI4I IAS seminar that will take place on November 19, 2026, from 4:00 to 6:00 pm CET, at OGR Torino (Mezzanino) and online via webinar. A shallow story about sustainable AI Lorenzo Rosasco — Professor, University of Genova & Principal Investigator, IIT The seminar will explore when large, deep neural networks are truly necessary and how classical machine-learning approaches, including kernel methods and combinations with pretrained networks, can offer efficient and accurate alternatives with lower computational costs and strong theoretical guarantees. It will also discuss when and why depth matters for high-dimensional problems. The event is open for both in-person attendance and online participation, register here: IAS-21_2026-Lorenzo Rosasco - AI4I<https://ai4i.it/ias-21-2026-lorenzo-rosasco/> Best, IAS

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Posizione di Professore Ordinario - MATH-03/B - Dipartimento di Matematica dell'Univ. di Napoli Federico II
by g.ascione＠ssmeridionale.it 10 Nov '26

10 Nov '26

Dear all, I would like to share with you the following announcement: ************************************************************************************ E' aperto il bando per una posizione di Professore Ordinario per il Settore MATH-03/B - "Probabilità e statistica matematica" presso il Dipartimento di Matematica e Applicazioni ''Renato Caccioppoli'' dell'Universita' di Napoli Federico II. Tutti i candidati interessati sono incoraggiati a partecipare. A call for a positions of Full Professor, Sector MATH-03/B - "Probability and mathematical statistics" at the Department of Mathematics ''Renato Caccioppoli'' of the University of Napoli Federico II. Candidates are encouraged to apply. Codice Procedura: 1-PO-2026-18C1-03 Deadline: 26 nov 2026 ************************************************************************************ Link to the announcement: https://www.unina.it/documents/20117/6490269/1_PO_2026_18C1_00_bando.pdf/a7… All the best, Giacomo Ascione

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Workshop: Rough paths and related topics
by Francesco De Vecchi 09 Nov '26

09 Nov '26

Dear Colleagues, as a reminder of the upcoming event in Milan, please find below the link to join remotely: https://unipv-it.zoom.us/j/66308308148?pwd=Q70XgaVHrll70Q3Y2cImXIjcO0JodO.1 Bests, Frédéric Patras, Francesco C. De Vecchi, Stefania Ugolini. *Workshop: Rough paths and related topics* *Tuesday, November 10, 2026* *Milano, Room MM, Via Mangiagalli 37 <https://www.google.com/maps/search/Via+Mangiagalli+37?entry=gmail&source=g>* . Schedule: 14h-15h *Lorenzo Zambotti *(University of Sorbonne), *Product of differential forms with distributional coefficients* 15h-16h *Gianmario Tessitore *( University of Milano Bicocca ), *Sewing and Regularity gains for convolution integrals (joint work with Davide Addona and Luca Lorenzi).* Lorenzo Zambotti Abstract: We discuss how Hairer’s reconstruction theorem allows to define a canonical product of differential forms with distributional coefficients, in a regularity regime which would be inaccessible for standard distributions. Gianmario Tessitore Abstract: We study convolution integrals driven by Hölder and rough signals in the presence of a smoothing semigroup. A semigroup-adapted sewing procedure allows us to quantify their gain in spatial regularity. We then extend the construction to singular integrands, which may blow up near the initial time, by means of weighted Hölder estimates. The resulting bounds are applied to mild Young equations with irregular initial data. We conclude with perspectives involving stochastic sewing and rough factorisation arguments. The workshop is organized by *Francesco De Vecchi* (Università di Pavia), *Frédéric Patras* (CNRS-Université Cote d’Azur) e *Stefania Ugolini* (Università di Milano) as the third scientific event of the Intensive Research Trimester titled: "*Algebraic & Geometric Structures in Stochastic Calculus*" of the *Center for Training and Research*, in the framework of the Excellence Project 2023-2027 of the Department of Mathematics " “F. Enriques”, Milano. https://agssc.unimi.it/

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5th Workshop "Math for AI and ML" - Lecce, January 27–29, 2027
by Fabrizio DURANTE 09 Nov '26

09 Nov '26

************************************** Apologies for cross-posting. ************************************* Dear Colleagues, We are pleased to announce the 5th Workshop of the UMI Group on Mathematics for Artificial Intelligence and Machine Learning (Math4AIML 2027), which will take place on January 27–29, 2027, at the University of Salento, Lecce, Italy. The workshop aims to bring together researchers working at the intersection of mathematics, artificial intelligence, and machine learning, providing an opportunity to present recent advances, exchange ideas, discuss emerging challenges and open problems, and foster new scientific collaborations. The scientific program will feature plenary and keynote lectures, contributed talks, and poster presentations. We are delighted to announce that Giovanni Paolini (University of Bologna), Silvia Villa (University of Genoa), and Dario Trevisan (University of Pisa) will join us as plenary speakers, while Francesco Camilli (University of Bologna), Serena Crisci (University of Campania “Luigi Vanvitelli"), Hugo Lavenant (Bocconi University) and Francesco Regazzoni (Polytechnic of Milan) will contribute as keynote speakers. We warmly invite submissions for contributed talks and poster presentations on topics related to mathematics for artificial intelligence and machine learning (deadline November 30th). We particularly encourage PhD students and early-career researchers to submit their contributions and participate in the workshop. Participation and abstract submission are open to all interested researchers and are not restricted to UMI members. For further information, abstract submission, and registration, please visit Math4AIML 2027 (27-29 January 2027): Welcome · Unisalento Conferences (Indico) <https://math4aiml2027.unisalento.it/> For inquiries, please contact: math4aiml.unisalento(a)gmail.com <mailto:math4aiml.unisalento@gmail.com> We look forward to welcoming you to Lecce for three days of stimulating scientific discussions and exchanges! Please feel free to circulate this announcement among colleagues, collaborators, and anyone who might be interested. Best regards, The Organizing Committee Math4AIML 2027 -- -- Per sostenere la conoscenza e la ricerca, dona il 5x1000 all'Università del Salento. CF 80008870752

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Post-doctoral position at Bielefeld University
by Ferrari, Giorgio 06 Nov '26

06 Nov '26

Dear Colleagues, this is to advertize a *2-year post-doctoral position (100% remuneration level 13 TV-L)* in my group at the Center for Mathematical Economics at Bielefeld University. The post-doctoral researcher is expected to conduct research in stochastic control, stochastic games and mean-field problems. *Applications' deadline: 26.11.2026* Further information can be found here: https://jobs.uni-bielefeld.de/job/view/5236/research-position-m-f-d-postdoc… Best wishes, Giorgio Ferrari -- Prof. Dr. Giorgio Ferrari Professor for Mathematical Finance Universität Bielefeld 0521 106 5642 giorgio.ferrari(a)uni-bielefeld.de https://sites.google.com/site/giorgioferrariswebsite/

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Seminario Jodi Dianetti - Politecnico di Milano - 12 Novembre 2026
by Luca Scarpa 06 Nov '26

06 Nov '26

Si segnala il seguente seminario a tutti gli interessati. Giovedì 12 Novembre 2026, ore 11:00. Aula Seminari III Piano, Dipartimento di Matematica, Politecnico di Milano. Speaker: Jodi Dianetti, Università di Roma Tor Vergata. Title: Entropy regularization and reinforcement learning in optimal stopping problems. Abstract: We study continuous-time and state-space optimal stopping problems from a reinforcement learning perspective. We begin by formulating the stopping problem using randomized stopping times, where the decision maker's control is represented by the probability of stopping within a given time-specifically, a bounded, non-decreasing, càdlàg control process. To encourage exploration and facilitate learning, we introduce a regularized version of the problem by penalizing the performance criterion with the cumulative residual entropy of the randomized stopping time. The regularized problem takes the form of an (n+1)-dimensional degenerate singular stochastic control with finite-fuel, where the regularized free boundary becomes the graph of a function mapping the state variable of the original stopping problem into the probability of stopping. We address this singular control problem through the dynamic programming principle, which enables us to identify the unique optimal exploratory strategy. Finally, we propose both model-based and model-free reinforcement learning algorithms tailored for exploratory optimal stopping problems. We establish policy improvement guarantees for the proposed algorithms and we illustrate their convergence in some numerical experiments. This talk is based on a joint work together with Giorgio Ferrari and Renyuan Xu. Link Zoom: https://polimi-it.zoom.us/j/63898084147?pwd=zKWbV5MBCEGgcU8Vn0e0D8gfwWTgR4.1 Link Seminario Polimi: https://www.mate.polimi.it/eventi/?id=2788&sezione_di_ricerca=probstat&stri… ----- Prof. Luca Scarpa, PhD Associate Professor in Probability Department of Mathematics Politecnico di Milano Via E. Bonardi 9 20133 Milano, Italy e.mail: luca.scarpa(a)polimi.it<mailto:luca.scarpa@polimi.it> url: https://sites.google.com/view/lucascarpa

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Postdoc in Probability at TU Wien
by Prof. Fabio Toninelli 06 Nov '26

06 Nov '26

Dear colleagues, The Probability Group at TU Wien <https://www.tuwien.at/en/mg/proba/team> (Vienna, Austria) invites applications for a postdoctoral position within the FWF ASTRA project “Phase Transitions and Scaling Limits” <https://www.fwf.ac.at/en/research-radar/10.55776/AST1405524> (PI: Prof. Alexander Glazman <https://stoch.math.kit.edu/english/508.php>) The position is initially for 2 years, with the possibility of an extension for one additional year. The starting date is flexible, ideally around September 2027. The project is conducted in collaboration with the Karlsruhe Institute of Technology (KIT), and regular research visits to Karlsruhe are expected. The successful candidate will benefit from a stimulating research environment and interactions with the broader Vienna probability community <https://sites.google.com/view/probabilityinvienna/home>. There are no teaching obligations. The annual gross salary is at least €70,200.20, based on the Austrian collective agreement for university employees (2026 rates, 14 monthly payments). Applications should be sent by email to alexander.glazman(a)kit.edu by December 14, 2026, at 23:59 (Vienna time). Please submit a single PDF file containing: * A short motivation letter explaining your interest in the position * A curriculum vitae (CV) * A list of publications * A research statement (maximum 6 pages) Applications from researchers with a strong background in probability theory, statistical mechanics, or related fields are welcome. Links: * Probability group at TU Wien: https://www.tuwien.at/en/mg/proba/team * FWF Astra project “Phase Transitions and Scaling Limits”: https://www.fwf.ac.at/en/research-radar/10.55776/AST1405524 * Probability in Vienna: https://sites.google.com/view/probabilityinvienna/hom <https://sites.google.com/view/probabilityinvienna/home>e <https://sites.google.com/view/probabilityinvienna/home> Best, Sasha ============= Prof. Alexander Glazman Faculty of Mathematics Karlsruhe Institut of Technology Office 2.001, Campus South 20.30 Englerstr. 2,76131 Karslruhe Tel: +49 721 608-43925 E-mail: alexander.glazman(a)kit.edu Web: https://stoch.math.kit.edu/english/508.php

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Seminar by Nedialko Bradinoff (KTH)
by Maurice Duits 05 Nov '26

05 Nov '26

Dear all, I would like to announce the talk by Nedialko Bradinoff this coming Monday. Best wishes, Maurice Duits Speaker: Nedialko Bradinoff (Royal Institute of Technology, KTH) Date: Monday November 9 Time: 16:15–17:15 Place: Sala di Consiglio, Mathematics Department Guido Castelnuovo, Sapienza Universita Title: On CUE linear statistics with slowly decaying Fourier coefficients Abstract: The Circular Unitary Ensemble, introduced by Dyson in the 1960s, is one of the fundamental models in random matrix theory. In this talk I will focus on the study of its linear statistics from the perspective of a beautiful connection to Toeplitz determinants. Starting with the celebrated Strong Szegö Limit Theorem for functions $f$ in $H^{1/2}$, I will pass through overviewing some asymptotic results regarding linear statistics with Fisher-Hartwig singularities which are an object of active research and have been crucial to beautiful applications including connections to the study of the Ising model and convergence to Gaussian multiplicative chaos measures. This will lead the talk to recent joint results with Maurice Duits about a broader class of linear statistics associated to functions $f$ with Fourier coefficients $f_k=\mathcal{O}(1/k)$. I will discuss the operator theoretic approach of the proof in this work making use of the Baker-Campbell-Hausdorff formula from Lie algebras. -- *Fai crescere le giovani ricercatrici e i giovani ricercatori*** *con il 5 per mille alla Sapienza* Scrivi il codice fiscale dell'Università *80209930587 **Cinque per mille <https://www.uniroma1.it/it/node/23149>*

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Seminario Davide Risso presso Politecnico di Milano
by Laura Maria Sangalli 04 Nov '26

04 Nov '26

Cari Colleghi, A seguire annuncio presso il Politecnico di Milano Davide Risso, Università degli Studi di Padova 18.11.26 ore 14:30 – Aula Saleri, Dipartimento di Matematica, Politecnico di Milano Link: https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2… Titolo: SLICE: spatial latent inference of common expression profiles Abstract: Spatial transcriptomics has revolutionized our ability to measure gene expression within intact tissues at single-cell and subcellular resolution. In practice, gene expression patterns may occur at different resolutions: some genes follow broad spatial trends across the tissue, whereas others show more localized patterns associated with specific regions, cell populations, or microenvironments. In this talk, I will present SLICE, a Bayesian model that jointly represents spatial and latent sources of variation. The model combines a multiscale spline representation of spatial coordinates with a low-rank latent component and a Bayesian hierarchy for recurrent gene-specific spatial profiles. For scalability, inference uses stochastic variational methods, with automatic differentiation and GPU acceleration. This is joint work with Alex Cecchetto and Francesco Denti. Un caro saluto, Laura —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy (+39) 02 2399 4554 laura.sangalli(a)polimi.it https://sangalli.faculty.polimi.it

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PhD opportunities at ENSAE Paris - Roxana Dumitrescu
by Jodi Dianetti 04 Nov '26

04 Nov '26

Dear Colleagues, On behalf of Roxana Dumitrescu, I would like to share several PhD studentship opportunities at ENSAE Paris, focusing on mean field games and mean field control, learning, and applications to energy markets. Several funding calls will open throughout the current academic year for positions starting in September 2027. The first application deadline is December 10 and concerns a funding opportunity specifically dedicated to international students who completed their studies outside France. Interested candidates are invited to contact Roxana Dumitrescu at Roxana.Dumitrescu(a)ensae.fr in the coming weeks (ideally by November 20 for the December 10 call). Please feel free to share this opportunity with potentially interested candidates. Best regards, Jodi Dianetti

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