Random October 2024

random@lists.dm.unipi.it

41 participants
57 discussions

GPSD conference in Dresden
by Enrico Scalas 28 Oct '24

28 Oct '24

Dear Colleagues, On behalf of the organisers, I would like to point you to the GPSD conference in Dresden https://www.gpsd-2025.de/ As usual, apologies for cross-posting. Best wishes, Enrico Scalas

1 0

PhD Studentship in Stochastic Analysis at Bath
by Mario Maurelli 27 Oct '24

27 Oct '24

Dear colleagues, I am forwarding the following announcement from Avi Mayorcas about a PhD position at the University of Bath. Best regards Mario Maurelli Dear Colleagues, I am currently advertising for a PhD position at the University of Bath. The topic would be ideally suited to students with an interest in one or multiple areas of analysis, probability, stochastic analysis and PDE. However, mathematically strong students with a background in physics or economics would also be well-suited. Please find the advert here: https://www.findaphd.com/phds/project/stochastic-analysis-of-many-body-syst… Note: the advert currently says _UK students only_, however, due to a recent internal decision this will no longer apply, the advert will be updated in due course. Please feel free to point any interested students here to contact me here: https://researchportal.bath.ac.uk/en/persons/avi-mayorcas Many thanks and best wishes, Avi

1 0

Save the date: Avi Wigderson (Turing award + Abel prize!) at Tor Vergata 31.10
by Michele Salvi 25 Oct '24

25 Oct '24

Dear all, We are honoured to announce that on Thursday, October 31st (15h00, Aula Gismondi) RoMaDS <https://www.mat.uniroma2.it/~rds/events.php> will host at Tor Vergata University Prof. Avi Wigderson (Princeton University, 2023 Turing award and 2021 Abel prize) with the seminar “The value of Errors in Proofs” The seminar is meant for a broad audience, do not hesitate to spread the word with whom might be interested, students included! All the details can be found on the website of the event: https://www.mat.uniroma2.it/~pasquale/seminars/wigderson2024/ https://www.mat.uniroma2.it/~pasquale/seminars/wigderson2024/ We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming: https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… The seminar is part of the Excellence Project MatMod@TOV. https://www.mat.uniroma2.it/~rds/events.php Best regards, Michele Salvi

1 1

SPASS seminar: Claudio Macci
by Andrea Agazzi 25 Oct '24

25 Oct '24

Dear Colleagues, We would like to invite you to the following SPASS seminar, jointly organized by UniPi, SNS, UniFi and UniSi (abstract below): *Large and moderate deviations for Gaussian neural network* by *Claudio Macci* (Università di Roma Tor Vergata) The seminar will take place on *TUE, 29.10.2024* at *14:00 CET *in Aula Seminari, Dipartimento di Matematica, UNIPI and streamed online at this link <https://meet.google.com/gji-phwo-vbg>. The organizers, A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco https://sites.google.com/unipi.it/spass <https://www.google.com/url?q=https://sites.google.com/unipi.it/spass&source…> -------------------------------------------- *Title: Large and moderate deviations for Gaussian neural network* *Abstract: We prove large and moderate deviations for the output of Gaussian fully connected neural networks. The main achievements concern deep neural networks (i.e., when the model has more than one hidden layer) and hold for bounded and continuous pre-activation functions. However, for deep neural networks fed by a single input, we have results even if the pre-activation is ReLU. When the network is shallow (i.e., there is exactly one hidden layer) the large and moderate principles hold for quite general pre-activations and in an infinite-dimensional setting.Joint work with Barbara Pacchiarotti (Università di Roma Tor Vergata) and Giovanni Luca Torrisi (IAC-CNR).*

1 0

post doc positions in Sao Paulo state, Brazil
by Daniela Bertacchi 23 Oct '24

23 Oct '24

The Stochastic Systems Modeling project in São Paulo state, Brazil, is recruiting three post-doctoral research fellows in the fields of Probability Theory and Stochastic Processes. The project is spread across four universities (USP, UNICAMP, UFSCar, UFABC) and includes Drs. Anatoly Yambartsev, Andressa Cerqueira, Cristian F. Coletti, Eduardo Jordão Neves, Élcio Lebensztayn, Fábio P. Machado, Florencia Leonardi, Leonardo T. Rolla, Luiz Renato G. Fontes, Miguel Abadi, Nancy L. Garcia, Pablo A. Gomes, Renato Gava, Sandro Gallo, and Vladimir Belitsky. The main lines of research include percolation and interacting random walks, population dynamics and genetic models, information propagation models, characterizers in dynamical systems and inference, and modeling and inference in complex systems. These are two-year positions, renewable for a third year, funded by the São Paulo Research Foundation through grant 23/13453-5, with the following conditions: Teaching requirements: none Start date: flexible Net salary: 144,000.00 BRL per year Research grant: 14,400.00 BRL per year Applications should be uploaded to https://forms.gle/MosUNPinEsBkQknG6 by the deadline below and include: Cover letter Short CV Research Statement Two confidential reference letters should be uploaded to https://forms.gle/EYUa1VkUQH6PYUFbA by the same deadline. Those without access to Google can send the material directly to lrenato(a)ime.usp.br Deadline: December 15, 2024 ===================================================== <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai…> Privo di virus.www.avast.com <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai…> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>

1 0

Precision Health Day – Call for Abstracts
by Azzimonti Laura 23 Oct '24

23 Oct '24

Dear colleagues, We are excited to announce the first Precision Health Day, organized by Scuola Universitaria Professionale della Svizzera Italiana (SUPSI) and Ente Ospedaliero Cantonale (EOC). This event will bring together experts from academia, industry, and institutions to discuss the latest advancements in precision healthcare, focusing on data science, AI, medical devices, bioinformatics, telemedicine, and more. Date: 28 March 2025 Location: Lugano, Switzerland (with remote participation available) Languages: Italian and English Submit here<https://easychair.org/cfp/phealthday2025> your research abstract by December 8, 2024. Accepted abstracts will be selected for oral or poster presentations and shared in the event proceedings. For more information and registration updates, visit our event page<https://www.supsi.ch/en/giornata-della-salute-di-precisione> or contact meditech(a)supsi.ch<mailto:meditech@supsi.ch>. We look forward to your participation! Best regards, Laura Azzimonti on behalf of the conference organization committee ––––––––––––––––––––––––––––––– http://people.idsia.ch/~laura.azzimonti/

1 0

Announcement of the YEP workshop “Interacting Particle Systems on Random Structures”
by Vanessa Jacquier 23 Oct '24

23 Oct '24

Dear Colleagues, We are glad to announce that the 20th edition of the Young European Probabilists (YEP) workshop *Interacting Particle Systems on Random Structures *will take place on *23-27 June, 2025* in EURANDOM at Eindhoven University of Technology. The workshop will feature 3 mini-courses by the following distinguished speakers: - Shankar Bhamidi (University of the North Carolina) - Cristian Giardinà (Università degli Studi di Modena e Reggio Emilia) - Andrea Montanari (Stanford University) The workshop will also include invited talks, and short talk sessions for early postdocs and PhD students based on abstract proposals. The workshop is free but registration will be mandatory. In a future announcement we will provide the link for the registration. Please feel free to contact us for any additional information. Looking forward to meeting you in Eindhoven! The organising committee, Simone Baldassarri, Remco van der Hofstad, Vanessa Jacquier, Matthias Löwe The organizers of this workshop are committed to ensuring that scientific events are accessible to everyone, regardless of their identity, and are devoted to creating a safe and respectful environment for all participants. --------------------------------------- Vanessa Jacquier *Post-doctoral researcher * Department of Mathematics University of Utrecht Budapestlaan 6, 3584 CD *Utrecht*, The Netherlands.

1 0

OWABC evolves into OWABI - Kick off talk October 31st
by Massimiliano Tamborrino 23 Oct '24

23 Oct '24

Dear all, After 5 Seasons of the One World Approximate Bayesian Computation (ABC) Seminar<https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldsem…>, launched in April 2020 to gather members and disseminate results and innovation during those weeks and months under lockdown, we have now decided to launch a "new" seminar series, the One World Approximate Bayesian Inference (OWABI) Seminar<https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldsem…>, to better reflect the broader interest and scope of this series, which goes beyond ABC. In particular, simulation-based inference and ML related techniques will play a crucial role. We are also please to announce that Stefan Radev<https://faculty.rpi.edu/stefan-radev> <https://faculty.rpi.edu/stefan-radev> has joined the OWABI Organiser Team. The 1st OWABI talk will be given by Ullrich Koethe<https://hci.iwr.uni-heidelberg.de/vislearn/people/ullrich-koethe/> (University of Heidelberg), who will talk about "Free-form flows for physics-informed generative modeling" on Thursday the 31st October at 11am UK time. Abstract: The talk first introduces a useful categorization of the (sometimes confusing) "generative model zoo" in terms of different change-of-variables formulas. It then shows how normalizing flows, a major architecture for generative neural networks, can be used for simulation-based Bayesian inference in the sciences. Finally, it proposes free-form flows to simplify the incorporation of physical prior knowledge, e.g. rotation and translation invariance or the restriction of the distribution to a manifold, into generative models. Keywords: normalizing flows; physical-informed neural networks; simulation-based inference The talk will be streamed on MS Teams: Join the meeting now<https://teams.microsoft.com/l/meetup-join/19%3adhZ_4e_XLNJzCXPAMzTvT6BZ5KSh…> Meeting ID: 394 858 339 716 Passcode: qLKarj We are looking forward to seeing you all, best, Massimiliano on the behalf of the OWABI Organisers ------ Dr. Massimiliano Tamborrino Reader (Associate Professor) and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

1 0

Sverker Lerheden fellowships for Postdoctoral studies
by Gabriele Pittarello 23 Oct '24

23 Oct '24

Buongiorno, Ricevo ed inoltro questa opportunità per un Postdoc presso la Stockholm University con il mio collaboratore Mathias Lindholm <https://www.su.se/english/profiles/matli-1.182521>, Associate Professor. Deadline: November 1, 2024 Interessi di ricerca di Mathias: Applied Probability/ Finance and Insurance Applications. Per ulteriori informazioni: lindholm(a)math.su.se Cordialità, Gabriele Pittarello =================================================================== Il giorno lun 21 ott 2024 alle ore 13:56 Mathias Millberg Lindholm < lindholm(a)math.su.se> ha scritto: This year's call for the Sverker Lerheden postdoc fellowships at the math department in Stockholm is now open and it closes on November 1. This is a call within all areas of mathematics, and focus will be on persons early on in their career. More information about the position can be found here: https://www.su.se/department-of-mathematics/news/sverker-lerheden-fellowshi… <https://lnkd.in/d6quk4FX> Don't hesitate to contact me if you have any questions about the application, projects etc. (lindholm(a)math.su.se) This is an annual call that typically opens up in October, if you'd be interested some other year. =================================================================

1 0

Fwd: [dynlist] Mini-course Prof. Michael Yampolsky (first lecture)
by Stefano Marmi 22 Oct '24

22 Oct '24

Dear all, a gentle reminder of the mini-course by Michael Yampolsky. It will be also possible to follow the lectures remotely at the link given in the message below. Kind regards Stefano Marmi Dear all, In the next few weeks Prof. Michael Yampolsky (University of Toronto Mississauga) will give a series of 4 lectures on*“Computability and Computational Complexity Questions in Dynamics”* at the Scuola Normale Superiore in Pisa. The lectures will take place on Thursdays October 24 and 31 and November 7 and 14, at* 4:30* pm in* Aula Volterra*, Piazza dei Cavalieri 7 and will be streamed online. Please find below the title and abstract of the first lecture (Thursday October 24) and the relative zoom link. *October 24:* *Computability and computational complexity in dynamics: can we trust numerical predictions of limiting behavior of orbits?* The development of the modern subject of dynamical systems went hand-in-hand with numerical modeling. However, the theoretical basis of such modeling has remained largely unexplored and offers exciting challenges. What can and cannot be computed about the behavior of a dynamical system? I will give an overview of some of the recent results and directions of study. *Zoom link* : https://us02web.zoom.us/j/87207701292?pwd=cS85dXl0WC9udDhJNmkrd3FQVDJhdz09 Below you can find titles and abstracts of the next lectures. *October 31:* *Don’t believe your lying eyes: (non)-computability of Julia sets.* The talk will be a deep dive into the question of computability and computational complexity of Julia sets. Their fractal images are among the most-computed pictures in all of mathematics. But can we trust what these computations show? The results are surprising, and involve some beautiful complex analysis. The talk will be based on my work with M. Braverman, as well as more recent results obtained with A. Dudko, C. Rojas, and others. *November 7:* *How to lose at Monte Carlo: computing statistical behavior of dynamical systems.* Introduced by Ulam and von Neumann in the 1940s, Monte Carlo technique remains the most ubiquitous tool for statistical modeling. Surprisingly, our recent work with C. Rojas shows that such modeling probably fails for some very simple dynamical systems. I will present this theorem and discuss the resulting mathematical challenges. *November 14:* *Thurston versus Turing: algorithmic hardness of classifying finite dynamical systems.* Historically, the algorithmic aspects of classification problems have motivated much of the research in geometric topology (knot theory, classification of surfaces and 3-manifolds, etc). These questions are also very fruitful in dynamics. I will discuss the joint results with N. Selinger, K. Rafi and others on algorithmic decidability of Thurston equivalence and the connection with geometrization questions in dynamics. Best wishes, Roberto -- Hai ricevuto questo messaggio perché sei iscritto al gruppo "dynlist-pisa" di Google Gruppi. Per annullare l'iscrizione a questo gruppo e non ricevere più le sue email, invia un'email a dynlist-pisa+unsubscribe(a)googlegroups.com. Per visualizzare questa discussione sul Web, visita https://groups.google.com/d/msgid/dynlist-pisa/CAKFnWE7dszS-w-YgmBpuTacFQ0t… <https://groups.google.com/d/msgid/dynlist-pisa/CAKFnWE7dszS-w-YgmBpuTacFQ0t…> .

1 0

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

Random October 2024