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SPASS seminar: Ehsan Hatefi
by Silvia MORLACCHI 13 May '26

13 May '26

Dear colleagues, We would like to invite you to the following SPASS seminar (abstract below): Mathematical Physics meet artificial intelligence and Computational Science by Dr. Ehsan Hatefi (visiting at Pisa University, Math department) The seminar will take place on Wednesday May 20th 2026 at 14:00 CET in Saletta Riunioni, Dipartimento di Matematica, Università di Pisa. A link for online participants will be shared on the website: https://sites.google.com/unipi.it/spass Best regards, Silvia Morlacchi on behalf of the organizers ----------------------------------------------------- Abstract: Given the recent computational advances in Artificial intelligence, we apply various Machine learning methods as well as Neural networks for Bayesian Estimation of Black Hole solutions and their critical exponents using Quantum perturbation theory. To explore the physical applications of AI/ML, we employ these methods to the field of Gravitation that are useful for the whole community of Gravity, Mathematical and Theoretical Physicists. We then mention several applications of our methods related to Gravity, Solving highly nonlinear ODEs for Black Holes, and other related areas. Finally, we provide a broad perspective for future works. As a particular example of Quantum theory, we also talk about the Black holes, their symmetries, and their particular Geometry.

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2 Contratti di Ricerca Università di Pisa (FIS3 OTODDLE) scad. 12/06/2026
by Dario Trevisan 13 May '26

13 May '26

Buongiorno (English below), segnalo l’apertura di due bandi per il conferimento di Contratti di Ricerca presso l’Università di Pisa, nell’ambito del progetto FIS-2024-06000 OTODDLE – “Optimal TranspOrt and large Deviations for Deep LEarning theory” (Consolidator Grant). I due bandi hanno profilo scientifico parzialmente diverso: - CDR_mat2026_3 (OTODDLE A1) – taglio più statistico/numerico: metodi probabilistici e numerici per grandi deviazioni in reti neurali profonde, con attenzione a aspetti computazionali/simulativi e validazione numerica. link al bando: https://bandi.unipi.it/public/Bandi/Detail/4b77a93a-d638-4681-b543-e3e24fa9… - CDR_mat2026_4 (OTODDLE T1) – taglio più probabilistico/analitico: metodi probabilistici e analitici per grandi deviazioni in reti neurali profonde, con enfasi su risultati teorici e stime quantitative. https://bandi.unipi.it/public/Bandi/Detail/a0a9f13b-cb16-4832-abd8-b34e64e8… Le selezioni sono separate e daranno luogo a due graduatorie distinte. Le persone interessate sono invitate a valutare con attenzione a quale(i) bando(i) presentare domanda, in base al proprio profilo scientifico. Scadenza presentazione domande: 12 giugno 2026, ore 13:00 (per entrambi i bandi). Prego di far circolare per raggiungere il maggior numero di persone interessate. Cordiali saluti, Dario Trevisan --------- Dear colleagues, I would like to advertise two open calls for Research Contracts at the University of Pisa, within the framework of the FIS-2024-06000 OTODDLE project – “Optimal TranspOrt and large Deviations for Deep LEarning theory” (Consolidator Grant). The two calls target slightly different research profiles: CDR_mat2026_3 (OTODDLE A1) – more statistical/numerical in scope: probabilistic and numerical methods for large deviations in deep neural networks, with emphasis on computational/simulation aspects and numerical validation. https://bandi.unipi.it/public/Bandi/Detail/4b77a93a-d638-4681-b543-e3e24fa9… CDR_mat2026_4 (OTODDLE T1) – more probabilistic/analytical in scope: probabilistic and analytical methods for large deviations in deep neural networks, with emphasis on theoretical results and quantitative estimates. https://bandi.unipi.it/public/Bandi/Detail/a0a9f13b-cb16-4832-abd8-b34e64e8… The selections will produce two separate rankings. Interested applicants are therefore encouraged to carefully consider which call(s) best match their profile before applying. Application deadline: 12 June 2026, 13:00 (CET) (for both calls). Please feel free to circulate this announcement to reach as many interested people as possible. Best regards, Dario Trevisan -- Professor of Probability and Statistics Coordinator for Internationalization Dipartimento di Matematica Università di Pisa https://web.dm.unipi.it/trevisan/

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Reminder – Call for Papers | Special Issue on Transition Risks and Climate Challenges
by Daniele Marazzina 11 May '26

11 May '26

Dear colleagues, We would like to kindly remind you of the ongoing Call for Papers for the Special Issue: “Transition Risks and Climate Challenges: Interdisciplinary Perspectives” Decisions in Economics and Finance (Springer) This Special Issue aims to bring together contributions from economists, mathematicians, statisticians, financial analysts, and environmental scientists, focusing on quantitative and interdisciplinary approaches to climate and transition risks. Topics include (but are not limited to): * Climate-transition risk modeling * Sustainable finance and portfolio management under climate constraints * Climate–economy integrated modeling * Data science and machine learning for climate risk * Energy transition and market design * Behavioral, policy, ethical, and regulatory dimensions * Supply chain disruptions and resilience in the climate context 📅 Submission deadline: July 31, 2026 We warmly encourage you to submit your work and to share this call with colleagues who may be interested. For further details, please visit the official announcement: https://link.springer.com/journal/10203/updates/27823746 We look forward to receiving your contributions. Best regards, Daniele Marazzina (on behalf of the Guest Editors) Andrea Flori, Politecnico di Milano, Italy Gianluca Fusai, Università del Piemonte Orientale, Italy Anna Maria Gambaro, Università del Piemonte Orientale, Italy Daniele Marazzina, Politecnico di Milano, Italy Luca Regis, Università di Torino, Italy Luca Trapin, Università di Bologna, Italy

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PhD positions in Mathematics and in Modeling and Data Science at UNITO
by Bruno Toaldo 11 May '26

11 May '26

Dear Colleagues, I would like to draw your attention to the open call for positions in the PhD programs in* Mathematics *and in* Modeling and Data Science *at the* University of Torino*, Italy. See *here <https://www.dottorato.unito.it/do/home.pl/View?doc=Bando_XLII_ciclo.html>* for the calls and information on how to apply. Deadline: *June 9**th*. The PhD in Mathematics offers *9 positions with scholarship*, with one *reserved for candidates with a foreign master degree*. The PhD in Modeling and Data Science offers *3** positions with scholarship*, with one *reserved for candidates with a foreign master degree*. Further positions (funded by companies) will be added to the call (see here <https://dottorato-mds.campusnet.unito.it/do/home.pl/View?doc=/content/Proje…> forthcoming updates). See *here <https://www.dottorato.unito.it/do/documenti.pl/ShowFile?_id=u4vb;field=file…> *for a description of the positions in mathematics. See also *this link <https://www.mathphd.unito.it/do/home.pl/View?doc=supervisors.html> *for a list of research topics with corresponding possible supervisors. See here <https://www.dottorato.unito.it/do/documenti.pl/ShowFile?_id=bfjt;field=file…> for a description of the positions in Modeling and Data Science. See also here <https://dottorato-mds.campusnet.unito.it/do/home.pl/View?doc=/content/Proje…> for further information on every position. The interviews for the selection of candidates will take place in the end of June / first half of July, and can be carried out online. The outcome of the selection will be published in the second half of July; admitted candidates have 7 days to accept the position. Candidates must obtain their Master degree by October 31st, 2026 (and not by the expiry date of the call). The starting date of the PhD program is November 1st, 2026. Please forward this email to anyone who might be interested. Best regards, Toaldo Bruno Department of Mathematics University of Torino Via Carlo Alberto 10 10123 Torino, Italy tel: +39 0116702850

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Seminario Padova - Bouchot
by alekos.cecchin＠unipd.it 08 May '26

08 May '26

Buongiorno a tutte/i, Vorremmo segnalarvi che Venerdì prossimo (6 Marzo) alle 14:30 in aula 2AB40 (Torre Archimede, Università di Padova) ci sarà un seminario per il ciclo di seminari in Probabilità e Finanza di: Nicolas Bouchot (Universität Innsbruck) <https://www.uibk.ac.at/mathematik/personal/bouchot-nicolas/bouchotnicolas.h tml> website Title: Confined walk, interlacements and covering time Date: March 6, 2026, at 14:30, 2AB40 Abstract: Random interlacements are understood to naturally arise as a full-volume limit of random walks spending a long time inside a domain. However, this understanding is somewhat indirect, as it is often through ways of large deviations principles. In this talk, I will present a straightforward model: the random walk confined inside a domain. We obtain a precise coupling between this confined walk and some interlacements tilted by the first Laplace eigenvector on the domain. As an application, I will present asymptotics for the covering time of subdomains by the confined walk. Alberto Chiarini e Alekos Cecchin Sito web del seminario: https://www.math.unipd.it/~chiarini/seminars/

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Rome Joint Seminars on Stochastic Dynamics, Control, and Learning – Third Meeting
by Marta Leocata 08 May '26

08 May '26

Cari colleghi, siamo felici di annunciare il terzo incontro del ciclo di seminari Rome Joint Seminars on Stochastic Dynamics, Control, and Learning (RoJo-SDCL) che si terrà giovedì 14 Maggio 2026, dalle 16:00 alle 18:00 presso l’edificio condiviso EIEF–World Bank (EIEF – Einaudi Institute for Economics and Finance), Sala Conferenze, Via degli Abruzzi 10, Roma. Gli speaker di questo incontro saranno: Anna Vidotto, Sapienza University of Rome Random Fields on the Sphere: Applications to Climate Data Domenico Marinucci, University of Rome Tor Vergata Random Fields on the Sphere: Applications to neural networks Ulteriori informazioni sono disponibili al seguente link: https://sites.google.com/view/rome-sdcl/home Vi informiamo inoltre che sullo stesso sito è possibile accedere alle slides dei precedenti incontri. La partecipazione ai seminari è gratuita, ma la registrazione (non vincolante) è fortemente consigliata per accelerare l’ingresso nell’edificio condiviso EIEF–World Bank: https://docs.google.com/forms/d/e/1FAIpQLSfKuFV0b3kGaYLg2GLlaUmeAeutRDMw5dX… Speriamo di vedervi numerosi e vi invitiamo a condividere questo annuncio con chiunque possa essere interessato. A presto, Valeria Bignozzi, Sapienza University of Rome Alessandro Bondi, Luiss University Katia Colaneri, University of Rome Tor Vergata Jodi Dianetti, University of Rome Tor Vergata Marta Leocata, Luiss University

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PhD HPSC (Univ. Pisa, 42° ciclo) – borse su progetto, incl. 1 su FIS 3 OTODDLE
by Dario Trevisan 07 May '26

07 May '26

Buongiorno a tutte e a tutti, segnalo l’apertura del bando per il Dottorato in High-Performance Scientific Computing (HPSC), 42° ciclo, presso l’Università di Pisa https://www.dm.unipi.it/phd-hpsc/call-for-applications-to-the-ph-d-programm… È disponibile 1 borsa finanziata sul progetto FIS 3 OTODDLE (Optimal Transport and Large Deviations for Deep Learning), sotto la mia supervisione. Il progetto di dottorato rientra nella linea applicata di OTODDLE e riguarda inizializzazione e training di reti neurali profonde, stime quantitative, algoritmi orientati all’HPC e simulazioni su larga scala, in stretta interazione con il gruppo di ricerca. Studenti e studentesse interessati/e ad aspetti computazionali, simulazione della probabilità e ottimizzazione sono invitati/e a candidarsi. Nota: oltre alla borsa su OTODDLE, il bando prevede altre borse su progetto: sarà sufficiente che il/la candidato/a indichi durante il colloquio orale a quali borse/progetti è interessato/a. Cordiali saluti, Dario Trevisan --- Dear colleagues, I would like to advertise the opening of the call for applications to the PhD Programme in High-Performance Scientific Computing (HPSC), 42nd cycle, at the University of Pisa: https://www.dm.unipi.it/phd-hpsc/call-for-applications-to-the-ph-d-programm… There is one PhD fellowship funded by the FIS 3 project OTODDLE (Optimal Transport and Large Deviations for Deep Learning), under my supervision. The PhD project lies within the OTODDLE applied research line and will focus on initialization and training of deep neural networks, quantitative estimates, HPC-oriented algorithms, and large-scale simulations, in close interaction with the research group. Students interested in computational aspects, probability simulation, and optimization are warmly encouraged to apply. Important note. In addition to the OTODDLE-funded fellowship, the call includes other project-funded fellowships. Applicants can simply state during the oral interview which fellowships/projects they are interested in. Best regards, Dario Trevisan -- Professor of Probability and Statistics Coordinator for Internationalization Dipartimento di Matematica Università di Pisa https://web.dm.unipi.it/trevisan/

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VII Edizione del Corso Executive in Finanza Matematica
by Andrea Pascucci 06 May '26

06 May '26

*Aperte le iscrizioni alla VII edizione del Corso Executive in Finanza Matematica – Università di Bologna* L’edizione 2026-2027 del *Corso Executive in Finanza Matematica* dell’Università di Bologna inizierà nel mese di *ottobre 2026*. Tutti i dettagli sul programma sono disponibili al seguente link: 🔗 https://site.unibo.it/finanza-matematica/it/ Il *bando di ammissione*, con scadenza *1 ottobre 2026*, è consultabile alla pagina: 📄https://www.unibo.it/it/studiare/dottorati-master-specializzazioni-e-altra-formazione/corsi-alta-formazione/2026-2027/executive-in-finanza-matematica -- --------------------------------------------------------------- Andrea Pascucciandrea.pascucci(a)unibo.it Dipartimento di Matematica P.zza di Porta S. Donato, 5 40126 Bologna - Italy Office Tel. +39-0512094428 Fax +39 0510821834 https://sites.google.com/view/andrea-pascucci/ Skype: andrea.pascucci https://unibo.zoom.us/j/8625962910 --------------------------------------------------------------- L'inferno dei viventi non è qualcosa che sarà: se ce n'è uno, è quello che è già qui, l'inferno che abitiamo tutti i giorni, che formiamo stando insieme. Due modi ci sono per non soffrirne. Il primo riesce facile a molti: accettare l'inferno e diventarne parte fino al punto di non vederlo più. Il secondo è rischioso ed esige attenzione e apprendimento continui: cercare e saper riconoscere chi e cosa, in mezzo all'inferno, non è inferno, e farlo durare, e dargli spazio. Italo Calvino

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SEMINAR: Petros Dellaportas @Luiss - 7 may
by Matteo Iacopini 05 May '26

05 May '26

Dear all, On Thursday, 7th May, at 12:00 in room A307b, the Department of AI, Data and Decision Sciences of Luiss University of Rome will host a seminar by Petros Dellaportas (University College London) Title: “Gaussian Invariant Markov Chain Monte Carlo” Abstract: We develop sampling methods, which consist of Gaussian invariant versions of random walk Metropolis (RWM), Metropolis adjusted Langevin algorithm (MALA) and second-order Hessian or Manifold MALA. Unlike standard RWM and MALA we show that Gaussian invariant sampling can lead to ergodic estimators with significantly improved statistical efficiency. This is due to a remarkable property of Gaussian invariance that allows us to obtain exact analytical solutions to the Poisson equation for Gaussian targets. These solutions can be used to construct efficient and easy-to-use control variates for variance reduction of estimators under any intractable target. We demonstrate the new samplers and estimators in several examples, including high-dimensional targets in latent Gaussian models, where we compare against several advanced methods and obtain state-of-the-art results. We also provide theoretical results regarding geometric ergodicity and an optimal scaling analysis that shows the dependence of the optimal acceptance rate on the Gaussianity of the target. 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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Two seminars and a mini-course next week at Tor Vergata
by Michele Salvi 05 May '26

05 May '26

Dear all, Next week RoMaDS will host two seminars and a mini-course at the Department of Mathematics of the University of Rome, Tor Vergata (this is the link <https://www.mat.uniroma2.it/~rds/events.php> to RoMaDS webpage with all future events. We have some technical problems at the moment, but you can safely access the website ignoring the warning!). All abstracts can be found at the end of this email. Best, Michele > Monday, 11th May, Seminar Johannes Alt (University of Bonn) "Spectra of critical Erdős-Rényi graphs" 14h00-15h00, Department of Mathematics, Aula Dal Passo. Teams link <https://teams.microsoft.com/meet/35777624543024?p=boIC6CbJ8QfDutJzUV>. > Thursday, 14th May, Seminar Isabella Ziccardi (IRIF, Université Paris Cité) "Electing a Leader with Limited Resources" 16h00-17h00, Department of Mathematics, Aula D’Antoni. Teams link <https://teams.microsoft.com/meet/389989257555244?p=IMwo46pwx3w3fSzhOm>. > 12-13-14th May, Mini-course Cyril Letrouit (CNRS, Laboratoire de Mathématiques d'Orsay) "The Mathematics of Transformers: From Particle Systems to Control Theory" 12, 13, 14 May, 11h00-12h30, Department of Mathematics, Aula Dal Passo For all further information you can contact Prof. Caponigro at caponigro(a)mat.uniroma2.it <mailto:caponigro@mat.uniroma2.it> ABSTRACTS Abstract Alt “Spectra of critical Erdős-Rényi graphs" We consider the Erdős-Rényi graph G in its critical regime when its expected degree d scales like the logarithm of its number of vertices. On this critical scale, G undergoes a connectivity transition through the formation of isolated vertices. Moreover, localized eigenvectors emerge. The time evolution of a free quantum particle on G is governed by the adjacency matrix A of G through the Schrödinger equation. We determine the solution to this Schrödinger equation by comparison to an infinite tree. As A possesses localized and delocalized eigenvectors, the solution is in general a mixture of localized and scattering waves Abstract Ziccardi “Electing a Leader with Limited Resources” A distributed system consists of n independent entities—such as computers, servers, or even biological organisms—connected by a communication graph G. In such a system, nodes operate autonomously using their own local memory. A fundamental challenge in this setting is the Leader Election problem, where nodes must coordinate to elect a single leader. Electing a leader is fundamental because it serves as a central control, simplifying many other coordination tasks. Recently, much attention has been focused on leader election within weak communication models, like the beeping or stone age models. While many algorithms have been proposed, they typically require nodes to have large memory capacities, require knowledge of global quantities (such the total number of nodes n) or only work on specific families of graphs. In this talk, I introduce a very simple randomized algorithm that almost surely elects a leader on any network G. Our approach requires only constant memory and zero prior knowledge about G’s size or topology; nodes interact by sending only a 1-bit signal. We show that this protocol is efficient, reaching a stable leader configuration in O(D^2 log n) rounds with high probability, where D is the diameter of G. Finally, I will address the issue of resilience. Because our algorithm requires all nodes to start from the same, fixed initial state, it cannot guarantee leader election if the system starts in an arbitrary configuration reached due to local faults. I will discuss how to extend this algorithm to be self-stabilizing—meaning it can recover and converge from any initial state. Our self-stabilizing solution uses only O(log log n) bits of memory, representing an exponential improvement over previous literature that required O(log n) bits. This presentation is based on joint work with Robin Vacus [PODC 2025] and Lélia Blin and Sylvain Gay [PODC 2026] Abstract Letroiut “The Mathematics of Transformers: From Particle Systems to Control Theory” Since their introduction in 2017, Transformers have profoundly transformed large language models and, more generally, deep learning. This success largely relies on the mechanism known as "self-attention". In this course, I will introduce a mathematical framework that allows self-attention to be viewed as a system of interacting particles. I will explain certain remarkable properties of the associated dynamics in the space of probability measures, with particular emphasis on cluster formation, the preservation of Gaussian distributions, the subtleties of the associated mean-field limit, and the great "expressivity" of these neural networks, proved thanks to control theory.

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