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Fwd: [saintflour] Saint-Flour 2024 - SECOND ANNOUNCEMENT
by Faggionato, Alessandra 16 Feb '24

16 Feb '24

Buongiorno ricevo e con piacere inoltro. Saluti Alessandra ---------- Forwarded message --------- From: St Flour - Laboratoire de Mathématiques Blaise Pascal - Université Clermont Auvergne <stflour.lmbp(a)uca.fr> Date: Fri, 16 Feb 2024 at 09:19 Subject: [saintflour] Saint-Flour 2024 - SECOND ANNOUNCEMENT To: saintflour lmbp <saintflour.lmbp(a)listes.uca.fr> Cc: St Flour, Laboratoire de Mathématiques Blaise Pascal - Université Clermont Auvergne <stflour.lmbp(a)uca.fr> SAINT-FLOUR 2024 - SECOND ANNOUNCEMENT Dear colleagues The 52th Saint-Flour Probability Summer School will be held on July 1st -13th, 2024. This year's courses will be: Jean-Christophe Mourrat (ENS Lyon, France), Statistical mechanics of mean-field disordered systems. Sylvia Serfaty (Courant Institute of Mathematical Sciences New York University), Systems with Coulomb Interactions : Mean-field Limits and Statistical Mechanics. Christina Goldschmidt (University of Oxford), Scaling limits of random trees and critical random graphs. Abstracts and further information can be found here: https://lmbp.uca.fr/stflour/stflour-en.php Online application is open. *As a CNRS school, registration is free for CNRS researchers and CNRS Phd students* DEADLINE FOR APPLICATION:* APRIL 1st* Best regards, The organizing committee ------------------------------------------------- Laboratoire de Mathématiques Blaise Pascal, CNRS UMR 6620 Université Clermont-Auvergne, Campus des Cézeaux 3, place Vasarely TSA 60026 CS 60026 63178 Aubière cedex, France Tel: +33 (0)4 73 40 70 50 <+330473407050> Fax: +33 (0)4 73 40 54 50 <+330473405450> stflour.lmbp(a)uca.fr -- ************************************************* Prof. Alessandra Faggionato https://www1.mat.uniroma1.it/people/faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome *************************************************

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Fwd: Locandine Python e Web App
by Enea Bongiorno 15 Feb '24

15 Feb '24

Cari colleghi, scusandomi per invii multipli, inoltro il seguente annuncio di corsi Python. Cordiali saluti, Enea ************************************************** *Introduzione a Python* *Docente* Annamaria Gambaro *Key Points* 1. Introduzione a Python 2. Strutture dati 3. Analisi dei dati (e big data) 4. Visualizzazione dei dati 5. Realizzare una web application con Streamlit *Date e Aula*: Martedì 20 Febbraio dalle ore 9.00 alle ore 13.00 (4 ore - Info 101) + Zoom Mercoledì 21 Febbraio dalle ore 11.00 alle ore 13.00 (2 ore - Info 101) + Zoom Martedì 27 Febbraio dalle ore 9.00 alle ore 13.00 (4 ore - Info 101) + Zoom Mercoledì 28 Febbraio dalle ore 11.00 alle ore 13.00 (2 ore - Info 101) + Zoom Martedì 5 Marzo dalle ore 9.00 alle ore 12.00 (3 ore - Info 101) + Zoom *Realizzare web-app con Python* *Docente*: Alessandro Rognoni e Elena Rasta *Key points*: - Introduzione ai siti web e alle web app - Il microframework Flask - Aggiungere template, logica e interazione con l'utente - Utilizzo delle web API *Short bio*. Alessandro Rognoni è Data Science Consultant presso l'Hybrid Intelligence team di Capgemini Engineering. Ha conseguito il dottorato in Chimica teorica presso l'Università degli Studi di Milano. Ha competenze in machine learning, ottimizzazione e high-performance computing.Ha anche svolto attività di ricerca presso l'Università di Rochester (NY, USA) e l'Istituto di Ricerche Farmacologiche Mario Negri. *Date e Aula*: martedì 12 marzo, 11-13 e 14-16 - Aula da definire + Zoom *Prerequisiti*: E' richiesta una conoscenza base del linguaggio Python. E' possibile seguire il corso sia online sia in presenza (con proprio portatile). *Iscrizioni e costo*: Riferimento per iscrizione: manfin(a)uniupo.it ********************************************************************************** -- Enea Bongiorno, Università degli Studi del Piemonte Orientale Via Perrone 18, 28100, Novara, Italia Phone: +390321375317 enea.bongiorno(a)uniupo.it upobook.uniupo.it/enea.bongiorno

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Seminari PRISMA - 7 mar 2024
by Francesco Caravenna 15 Feb '24

15 Feb '24

Seminari on-line del gruppo UMI - PRISMA (http://www.umi-prisma.polito.it/ <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. Da quest'anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI: https://www.youtube.com/@umi1922/videos <https://www.youtube.com/watch?v=5puCfBWCdRA> Il prossimo appuntamento è per giovedì 7 marzo 2024. I relatori saranno Luca Avena (Università di Firenze) e Matteo Quattropani (Sapienza Università di Roma) che parleranno di Incontri tra passeggiate aleatorie e dinamiche di opinione su grafi random 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://uniroma1.zoom.us/j/82939128330 <https://uniroma1.zoom.us/j/82939128330> Meeting ID: 829 3912 8330 Vi aspettiamo numerosi! Valentina Cammarota e Francesco Caravenna %%%%%%%%%%%%%%%%%%%%%%%%%%%% RELATORI: Luca Avena (Università di Firenze) e Matteo Quattropani (Sapienza Università di Roma) TITOLO: Incontri tra passeggiate aleatorie e dinamiche di opinione su grafi random RIASSUNTO: Nella prima parte del seminario discuteremo risultati, classici o più recenti, della teoria che lega il comportamento di passeggiate aleatorie su grafi finiti a quello dei processi di coalescenza, e le relative implicazioni nell’analisi del tempo di consenso per dinamiche di opinione markoviane. Nella seconda parte del seminario presenteremo uno specifico risultato, ottenuto recentemente in collaborazione con Federico Capannoli e Rajat Shubra Hazra (Leiden University), in cui il grafo sottostante è aleatorio, orientato, e con un arbitraria sequenza di gradi. In particolare, in funzione della sequenza dei gradi scelta, identificheremo esplicitamente la legge dei tempi di incontro di due passeggiate aleatorie e, di conseguenza, il tempo di consenso per la dinamica di opinione associata. Discuteremo quindi delle implicazioni di questo risultato nel contesto applicativo del design delle reti, individuando le caratteristiche del grafo che tendono ad aumentare o a diminuire il tempo necessario a raggiungere il consenso. %%%%%%%%%%%%%%%%%%%%%%%%%%%%

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Post Doc position in Risk at University of Oslo
by Giulia Di Nunno 15 Feb '24

15 Feb '24

Dear Colleagues, This is to bring your attention to this position in Risk and Insurance at University of Oslo connected to the COFUND-project DSTrain. The position is linked to a project on risk evaluation and hedging, in collaboration with Gjensidije Insurance. For more details, see here https://www.uio.no/dscience/english/dstrain/research-areas/mathematics---st… More information about DSTrain and how to apply for this position can be found https://www.uio.no/dscience/english/dstrain/ Thank you for circulating this advertisement further to possible interested people. Best regards, Giulia Di Nunno Professor Department of Mathematics University of Oslo, Norway

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PhD Course, Two-scale convergence
by Stefania Ugolini 15 Feb '24

15 Feb '24

Dear All, we are pleased to invite you to the following PhD-course at the Department of Mathematics, Università degli Studi di Milano, Two-scale Convergence Homogenization Techniques and Multiscale Modeling by Prof. Adrian Muntean (Karlstad University, Sweden) The lectures will be held at the Department of Mathematics, Via Saldini 50, from 19 to 28 February 2024 according to the following schedule: Monday 19, Sala di Rappresentanza, 14:00-17:00 Tuesday 20, Aula Dottorato, 14:00-17:00 Wednesday 21. Aula 10, 14:00-16:00 Monday 26, Sala di Rappresentanza, 14:00-17:00 Tuesday 27, Aula Dottorato 14:00-17:00 Wednesday 28. Aula dottorato: 8:00-10:00 The lectures will also be available via zoom at the following link: https://us02web.zoom.us/j/4901115910 Best Regards, Daniela Morale and Stefania Ugolini.

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I: Newborn Association of Women in Mathematical Physics: share the news!
by SAU FEDERICO 15 Feb '24

15 Feb '24

Dear all, As requested, I'm pleased to share this fantastic initiative! More details on activities and contacts on https://awmp-mathphys.org/. Best, Federico ________________________________ Da: Simone Rademacher <simone.rademacher(a)math.lmu.de> Inviato: venerdì 9 febbraio 2024 16:31 A: SAU FEDERICO <FEDERICO.SAU(a)units.it> Oggetto: Fwd: Newborn Association of Women in Mathematical Physics: share the news! Hi Federico, we are now online :) https://awmp-mathphys.org/ and we are looking forward vor many new members, supporters, ideas.....! Also we would be grateful if you could circulate this announcement among potentially interested researchers in mathematical physics. I hope you are doing fine and you had a nice start into the year. Best, Simone -------- Weitergeleitete Nachricht -------- Betreff: Newborn Association of Women in Mathematical Physics: share the news! Datum: Fri, 9 Feb 2024 08:50:00 +0100 Von: Serena Cenatiempo <serena.cenatiempo(a)gssi.it><mailto:serena.cenatiempo@gssi.it> An: cristina caraci <cristina.caraci(a)math.uzh.ch><mailto:cristina.caraci@math.uzh.ch>, Simone Rademacher <simone.rademacher(a)math.lmu.de><mailto:simone.rademacher@math.lmu.de>, Constanza Rojas-Molina <crojasmo(a)cyu.fr><mailto:crojasmo@cyu.fr>, Ana Ros Camacho <roscamachoa(a)cardiff.ac.uk><mailto:roscamachoa@cardiff.ac.uk> Dear colleagues and friends, we are delighted to share with you the information about the newly created Association of Women in Mathematical Physics (AWMP) a non-profit organization founded in 2023 with the aim of * encouraging and supporting women in the field of mathematical physics throughout their studies and professional career; * establishing a network and meeting space for women in mathematical physics; * promoting diversity and equal opportunities for all individuals in mathematical physics, in particular providing a place for exchanging ideas and good practices. A list of the activities currently promoted by the association can be found at the AWMP webpage: https://awmp-mathphys.org/. Any person working in mathematical physics who identifies as female may become an ordinary member of AWMP. Any researcher in mathematical physics (as well as any legal entity) is welcome to become a supporting member of the association, and participate in AWMP activities. Membership requests can be submitted at any time through the form available at this page<https://indico.gssi.it/event/436/registrations/>. Researchers interested to be updated about AWMP activities and announcements might consider subscribing to the AWMP mailing lists, at this page<https://indico.gssi.it/event/436/registrations/>. The current members of the Association come from various countries from Europe, North-America, South-America, Asia and North of Africa. Still we aim to increase the visibility of the AWMP in other countries, to attract more members and to design and develop a diverse set of activities to promote and support women in the field of Mathematical Physics around the world. For these reasons, we would be grateful if you could circulate this announcement among potentially interested female researchers in mathematical physics, and potentially interested supporting members. Please do not hesitate to contact us for any further questions. With best wishes, Cristina Caraci<https://sites.google.com/view/cristina-caraci/home?authuser=0>, Serena Cenatiempo<https://www.serenacenatiempo.it/>, Simone Rademacher<https://www.mathematik.uni-muenchen.de/~rademach/#CV>, Costanza Rojas-Molina<http://crojasmolina.com/>, Ana Ros Camacho<https://sites.google.com/site/anaroscamacho/> On behalf of the AWMP Executive Committee Nezhla Aghaei<https://nezhlaaghaee.wixsite.com/mysite> Chiara Boccato<http://www.chiaraboccato.com/> Cristina Caraci<https://sites.google.com/view/cristina-caraci/home?authuser=0> Serena Cenatiempo<https://www.serenacenatiempo.it/> Lea Boßmann<https://www.mathematik.uni-muenchen.de/~bossmann/> Marie Fialova<https://awmp-mathphys.org/about-us/> Emanuela L. Giacomelli<https://sites.google.com/view/emanuelagiacomelli/home> Eman Hamza<https://awmp-mathphys.org/about-us/> Florencia Orosz Hunziker<https://sites.google.com/colorado.edu/florenciaoroszhunziker> Simone Rademacher<https://www.mathematik.uni-muenchen.de/~rademach/#CV> Costanza Rojas-Molina<http://crojasmolina.com/> Ana Ros Camacho<https://sites.google.com/site/anaroscamacho/> Hanne Van Den Bosch<https://www.cmm.uchile.cl/?cmm_people=hanne-van-den-bosch> Amanda Young<https://sites.google.com/math.arizona.edu/amyoung> -------------------------------------------------- Serena Cenatiempo Gran Sasso Science Institute (GSSI) Viale Crispi n.7, 67100 - L'Aquila (Italy) phone: +39 0862 428 0276 email: serena.cenatiempo[at]gssi[dot]com homepage: http://www.serenacenatiempo.it/

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SPASS Seminar: Leonardo Tolomeo
by Francesco Grotto 14 Feb '24

14 Feb '24

Dear Colleagues, We would like to invite you to the following SPASS seminar, jointly organized by UniPi, SNS, UniFi and UniSi: *Transport of Gaussian measures under the flow of Hamiltonian PDEs: quasi-invariance and singularity* by Leonardo Tolomeo (University of Edinburgh) The seminar will take place on TUE, 20.02.2024 at 14:00 CET in Aula Seminari, Dipartimento di Matematica, UNIPI and streamed online at the link below. The organizers, A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco https://sites.google.com/unipi.it/spass -------------------------------------------- *Abstract: In this talk, we consider the Cauchy problem for the fractional NLS with cubic nonlinearity (FNLS), posed on the one-dimensional torus T, subject to initial data distributed according to a family of Gaussian measures. * *We first discuss how the flow of Hamiltonian equations transports these Gaussian measures. When the transported measure is absolutely continuous with respect to the initial measure, we say that the initial measure is quasi-invariant. * *In the high-dispersion regime, we exploit quasi-invariance to build a (unique) global flow for initial data with negative regularity, in a regime that cannot be replicated by the deterministic (pathwise) theory. * *In the 0-dispersion regime, we discuss the limits of this approach, and exhibit a sharp transition from quasi-invariance to singularity, depending on the regularity of the initial measure. * *This is based on joint works with J. Forlano (UCLA/University of Edinburgh) and with J. Coe (University of Edinburgh).*

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PhD and postdoc positions in mathematical statistics at University of Twente
by Gianluca Finocchio 14 Feb '24

14 Feb '24

Cari tutti, vi inoltro un annuncio del Prof. Schmidt-Hieber dall'Università di Twente (Olanda).Vi sarei grato se poteste condividerlo con gli studenti/dottorandi interessati. Cordialmente, Gianluca Finocchio Dear Colleagues, We invite applications for one PhD (4 years) and two postdoc positions (2-3 years) at the University of Twente, the Netherlands. These positions are part of my ERC grant. The project aims to extend the currently developed statistical theory for artificial neural networks to biological neural networks. Starting date is May 2024 or later. Applicants should apply for the PhD position via https://utwentecareers.nl/en/vacancies/1598/phd-position-on-statistical-the… for the postdoc positions viahttps://utwentecareers.nl/en/vacancies/1599/postdoc-positions-on-statistical-theory-for-biological-neural-networks/The application deadline has been set to the end of February. Feel free to forward this announcement to potential candidates. For questions, please contact me via a.j.schmidt-hieber(a)utwente.nl. Best regards,Johannes Schmidt-Hieber

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Seminario di Giuseppe Cannizzaro - Lunedì 19 Febbraio - Sapienza Università di Roma
by Silvestri, Vittoria 14 Feb '24

14 Feb '24

Si segnala il seguente seminario: Lunedì 19 Febbraio 2024, ore 16:00, Sala di Consiglio, Dipartimento di Matematica "Guido Castelnuovo", Sapienza Università di Roma *Speaker: *Giuseppe Cannizzaro (University of Warwick, UK) *Title: *Weak coupling scaling of critical SPDEs *Abstract: *The study of stochastic PDEs has known tremendous advances in recent years and, thanks to Hairer's theory of regularity structures and Gubinelli and Perkowski's paracontrolled approach, (local) existence and uniqueness of solutions of *subcritical* SPDEs is by now well-understood. The goal of this talk is to move beyond the aforementioned theories and present novel tools to derive the scaling limit (in the so-called weak coupling scaling) for some stationary SPDEs at the *critical* dimension. Our techniques are inspired by the resolvent method developed by Landim, Olla, Yau, Varadhan, and many others, in the context of particle systems in the *supercritical* dimension. Time allowing, we will explain how it is possible to use our techniques to study a much wider class of statistical mechanics models at criticality such as (self-)interacting diffusions in random environment. ******************************** Vittoria Silvestri Assistant Professor Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome ********************************

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Winter mini-course on machine learning at Tor Vergata
by Michele Salvi 13 Feb '24

13 Feb '24

Dear all, Also this Winter RoMaDS ( https://www.mat.uniroma2.it/~rds/events.php ) will offer a mini-course on the mathematics of machine learning at Tor Vergata University in Rome. This year we are very happy to host Giovanni Conforti (Università di Padova & École Polytechnique, Paris) and Alain Durmus (École Polytechnique, Paris) from the 19th to the 22nd of February. They will present a 9 hours mini-course titled An introduction to Score-based Generative Models The course will be addressed also to non-experts of the field, it will be divided in 3 slots of 3 hours each and the tentative program is as follows (see the whole abstract at the end of the email): Lecture 1 & Lecture 2. (Mon 19th, 14h00-17h00) Introduction to generative models & Probabilistic/statistical tools for generative models Lecture 3 & Lecture 4. (Wed 21st, 09h30-12h30) A ”discrete” introduction to score-based diffusion models & A Itô-diffusion viewpoint on score-based diffusion models. Lecture 5 & Lecture 6. (Thu 22nd, 09h30-12h30) Convergence bounds for score-based diffusion models via stochastic control & Optimal transport and entropic optimal transport for generative modeling. You can find the whole Syllabus with more details on each lecture on RoMaDS webpage: https://www.mat.uniroma2.it/~rds/Files/SyllabusSGM.pdf All the lectures will be held in Aula Dal Passo, Department of Mathematics - Tor Vergata University. We do encourage in-person participation. Should you unable to come, here is the link to the event on Teams: https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… The seminar is part of the Excellence Project MatMod@TOV. Best, Michele Salvi Abstract of the course “An introduction to Score-based Generative Models” In simple words, generative modeling consists in learning a map capable of generating new data instances that resemble a given set of observations, starting from a simple prior distribution, most often a standard Gaussian distribution. This course aims at providing a mathematical introduction to generative models and in particular to Score-based Generative Models (SGM). SGMs have gained prominence for their ability to generate realistic data across diverse domains, making them a popular tool for researchers and practitioners in machine learning. Participants will learn about the methodological and theoretical foundations, as well as some practical applications associated with these models. The first two lectures motivate the use of generative models, introduce their formalism and present two simple though relevant examples: energy-based models and Generative Adversarial Networks. In the third and fourth lecture we present score-based diffusion models and explain how they provide an algorithmical framework to the basic idea that sampling from the time-reversal of a diffusion process converts noise into new data instances. We shall do so following two different approaches: a first elementary one that only relies on discrete transition probabilities, and a second one based on stochastic calculus. After this introduction, we derive sharp theoretical guarantees of convergence for score-based diffusion models assembling together ideas coming from stochastic control, functional inequalities and regularity theory for HamiltonJacobi-Bellman equations. The course ends with an overview of some of the most recent and sophisticated algorithms such as flow matching and diffusion Schrödinger bridges (DSB), which bring an (entropic) optimal transport insight into generative modeling.

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