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Seminar in Pisa: Jules Pitcho
by Francesco Grotto 02 May '22

02 May '22

Dear Colleagues, we would like to invite you to the following seminar by Jules Pitcho (UZH) to be held this Wednesday (May 4th) at Dipartimento di Matematica in Pisa and online via Google Meets. The organizers, A. Agazzi and F. Grotto -------------------------------------------- Location: Sala Seminari, Dipartimento di Matematica, Pisa Google Meet Link: https://meet.google.com/gji-phwo-vbg Time: May 4th, 2022, 14:00-15:00 CET Speaker: Jules Pitcho (UZH - Universität Zürich) Title: Since the work of Di Perna-Lions and Ambrosio, it is known that the continuity equation with divergence-free Sobolev vector field is well-posed for densities with suitable integrability. At the Lagrangian level, these works translate into a selection principle for integral curves under which uniqueness for almost every initial data is true. Nevertheless, uniqueness of integral curves can fail almost everywhere. The deterministic technique used to construct such divergence-free Sobolev vector fields and non-unique integral curves go by the name of convex integration: we will explain some of the ideas underlying this technique. We will conclude by arguing that for rougher vector fields, a genuinely stochastic behaviour of integral curves is to be expected: we should not hope for an almost everywhere selection principle for integral curves.

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First Italian School on Geometric Deep Learning
by c.ceci＠unich.it 30 Apr '22

30 Apr '22

We are delighted to announce that the "First Italian School on Geometric Deep Learning" will take place in Pescara, Italy, from 25th to 28th of July, 2022. The school will be held in person. https://www.sci.unich.it/geodeep2022/ for details. Confirmed teachers are Michael Bronstein, Cristian Bodnar and Francesco Di Giovanni. They will introduce the mathematical foundations of geometric deep learning, discuss the current state of the art, and highlight future research directions and open problems. The intended audience includes PhD students in Computer Science, Mathematics, Physics and Statistics, as well as postdoctoral fellows and young researchers. Any quantitative-oriented student is welcome, and a list of prerequisites will be provided. Limited funding is available to partially support selected students. The application form, as well as additional information and updates, can be found on the webpage https://www.sci.unich.it/geodeep2022. The deadline for registration is 15th of June, but for organizing reasons we ask you to register as soon as possible. No payment is required at registration time. Please spread the news to everybody potentially interested. We look forward to seeing you in Pescara! The organizers, Gianluca Amato Daniele Angella Claudia Ceci Rita Fioresi Luigi Ippoliti Francesco Morandin Maurizio Parton Francesca Scozzari

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PhD call in Modeling and Data Science at the University of Turin
by Elvira Di Nardo 30 Apr '22

30 Apr '22

There are 6 fully funded PhD scholarships in the framework of the PhD in Modeling and Data Science at the University of Turin (Italy), coordinator Prof. Laura Sacerdote (one scholarship is reserved to the project founded by Hub Editoriale, see the list of projects below). The scholarship is for three years, starting from 1st November 2022. The PhD program is interdisciplinary, and it involves branches of mathematics, informatics, economics, statistics, and physics. Website of the PhD: *https://dottorato-mds.campusnet.unito.it/do/home.pl <https://dottorato-mds.campusnet.unito.it/do/home.pl>* The official language is English. The call is now open. All interested candidates have to submit their application online: *https://www.phd.unito.it/do/home.pl/View?doc=Submitting_your_application.html <https://www.phd.unito.it/do/home.pl/View?doc=Submitting_your_application.ht…>* Deadline for applying is *31st May 2022, h 12:00 noon (CEST Time)* Notice that the application requires two reference letters, which should be submitted via the same link *by the referees before the application deadline*. The referees will be able to submit their letters only after the candidate has input all the required information and closed their (part of the) application. If the letters are not submitted by the deadline the application will not be valid. The positions are assigned to specific research projects which are discussed during the interview together with the related scientific skills. The list of the available projects - with a short description - is available at the following link (the project funded by Hub Editoriale is the last on the list) https://dottorato-mds.campusnet.unito.it/do/home.pl/View?doc=/content/Proje… More information, including the official call and all relevant deadlines, at the following link https://www.dottorato.unito.it/do/home.pl/View?doc=Bando_XXXVIII_ciclo.html where any additional scholarships and apprenticeship contracts (Legislative Decree no. 81/2015 art.45), which may become available after the publication of the call, will be also announced until the deadline. Please feel free to circulate this message to potentially interested people. Kind regards EDN -- %------------------------------------------------------- Elvira Di Nardo Dept. Mathematics "G. Peano" University of Torino Via Carlo Alberto 10 10123 Torino, Italia tel. +39 0116702862 fax +39 0116702878 http://www.elviradinardo.it %-------------------------------------------------------

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Fwd: Summer School + workshop on Reaction Networks
by Siri Paola 28 Apr '22

28 Apr '22

Dear all, Politecnico di Torino is organizing the second edition of the following two events on Chemical Reaction Networks 1) Summer School on Stochastic Reaction Networks,10-16 July, 2022, Torgnon, Aosta Valley, Italy Instructors: David F Anderson (University of Wisconsin, Madison, US), L. Popovic (Concordia University, Montreal, CA). More info at https://areeweb.polito.it/disma-excellence/events_2022/CRNs/index.html 2) Workshop on Chemical Reaction Networks, 6-8 July, 2022, Torino, Italy This second event is taking place at Politecnico di Torino, and will cover both stochastic and deterministic Chemical Reaction Networks, modelling and inference. More info at https://areeweb.polito.it/disma-excellence/events_2022/CRNs_workshop/index.… Sorry for cross-posting and please forward this info to all potentially interested people you may know, especially to the youngest. With kindest regards, the organizers Daniele Cappelletti Enrico Bibbona Paola Siri Paola Siri Probability, Statistics and Optimization group Department of Mathematical Sciences "G. L Lagrange" Politecnico di Torino [cid:CE94D5CE-9C91-4F1E-9103-B02B2933C421]

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Call for papers - Workshop on 'Model Evaluation and Causal Search: Empirical and Experimental Approaches' - 25-27 September 2022, Pisa (Italy)
by Francesco CORDONI 27 Apr '22

27 Apr '22

Dear colleagues, We would like to invite you to submit your research to our workshop on "Model Evaluation and Causal Search: Empirical and Experimental Approaches" hosted by the University of Pisa and Sant'Anna School of Advanced Studies on *25-27 September 2022 in Pisa (Italy)*. Each paper will have a discussant. Regular sessions will be introduced by our keynote speakers: *Daniela Puzzello* (Indiana University), *Thomas Lux* (University of Kiel), *Alessio Sancetta* (Royal Holloway, University of London), and *Tobias Henschen *(University of Cologne). The organization will sponsor the social dinner and accommodation for the speakers. A detailed call for papers is attached. Please circulate it among your colleagues, and do not hesitate to contact us should you require additional information. For updated information visit https://sites.google.com/view/model-evaluation-causal-search/home If you are interested in presenting, please send your paper to workshop.pisa.2022(a)gmail.com *by 30 June 2022.* Best regards, The Organizing Committee

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Corso Natesh PILLAI
by Matteo Ruggiero 26 Apr '22

26 Apr '22

Cari colleghi, nell’ambito del programma di Visiting Professors della Laurea Magistrale in Stochastics and Data Science dell’Università di Torino (programma completo alla pagina https://www.master-sds.unito.it/go/visiting), con piacere annunciamo il seguente corso: -------------------------------------- Natesh PILLAI (Harvard University) FUNDAMENTALS OF MARKOV CHAIN MONTE CARLO Syllabus • Discrete Markov chains: Ergodicity calculations, aperiodicity, irreducibility, recurrence, transience, reversibility, spectral gap. • Review of basic algorithms and concepts: MH, Langevin, HMC, Diffusions, Brownian motion, Gibbs Samplers, Generators of Diffusions • Mixing times: basic coupling arguments, Path coupling and Dirichlet forms/comparison arguments, CFTP, Peskun Ordering • Geometric Ergodicity, Drift minorization argument • Optimal Scaling • Adaptive Markov chains • Data Augmentation Gibbs Sampler -------------------------------------- Il corso si svolgerà online secondo il seguente calendario - mar 3 Maggio, h.14-16 - mer 4 Maggio, h.16-18 - mar 10 Maggio, h.14-16 - mer 11 Maggio, h.16-18 - mar 17 Maggio, h.14-16 - mer 18 Maggio, h.16-18 - mar 24 Maggio, h.14-16 Il corso è rivolto agli studenti della Laurea Magistrale ma la partecipazione è aperta a tutti gli interessati, tramite le seguenti riunioni Webex valide rispettivamente per le lezioni del martedì e del mercoledì: https://unito.webex.com/unito/j.php?MTID=me190fb3e66a07ce53d1ccfd1937badcd Numero riunione: 2731 419 2237 Password: PpQ3inZbq24 https://unito.webex.com/unito/j.php?MTID=m24bd3967fbb95df04993f896a1cb6289 Numero riunione: 2732 576 2484 Password: pCGempDu362 Cordiali saluti, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it

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Three fully funded PhD positions @Sussex
by Enrico Scalas 26 Apr '22

26 Apr '22

Dear colleagues, At the Department of Mathematics, University of Sussex, we have three fully funded PhD positions. Please see the links below for details and feel free to circulate this message to potentially interested people. Bayesian inference of discretely observed diffusions https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1441-EPSRC-DTP… Nonlinear problems related to traction force microscopy https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1443-EPSRC-DTP… Large N limit of gauge theories https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1440-School-of… Best regards, Enrico Scalas

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seminario: "Comparative gene finding on highly diverse chromosome alleles", Marina Axelson-Fisk 26 April
by Umberto Picchini 26 Apr '22

26 Apr '22

You are welcome to the next Statistics seminar at Dept of Mathematical Sciences at Chalmers and Göteborg University. On Tuesday April 26, Marina Axelson-Fisk <http://www.math.chalmers.se/~marinaa/> will talk of: ///"Comparative gene finding on highly diverse chromosome alleles"/ / / //*About the speaker: *Marina Axelson-Fisk <http://www.math.chalmers.se/~marinaa/> is an Assc. Professor in Mathematical Statistics at Chalmers and University of Gothenburg. She works mainly within the field of Bioinformatics, with particular focus on stochastic models and algorithms for comparative genomics and cross-species gene finding. She is an associate member of the Linnaeus Centre for Marine Evolutionary Biology (CeMEB), where she is involved in the bioinformatics analysis of a number of newly sequenced Swedish coastal organisms. ** *Abstract:* With the new sequencing technologies, the number of novel genome sequences has exploded. At the same time the genome projects are hampered by the lack of homologies to the novel genome, making it difficult both to properly train genome analysis tools and to assess the results. Moreover, the faster and cheaper sequencing methods come with the cost of data quality, and sequencing and annotation errors that make it into the genome databases are propagated to new genomes, making annotation an even bigger challenge. Methods that can improve the data quality is desperately needed. Here we propose a novel use of comparative gene finding to improve the annotation in organisms with high nucleotide diversity. Comparative gene finding methods utilizes the contrast in sequence similarity between functional and non-functional regions of evolutionary related species. We show how this can be applied to chromosome pair sequences in diploid sequence data. We demonstrate the approach on the highly diverse sea orchid Balanus improvisus using SLAM, a cross-species gene finder that simultaneously annotates and aligns two homologous sequences using Generalized Pair Hidden Markov Models.* * *Feel free to spread this announcement in your network.* * * *Where*: room MVL14 or https://chalmers.zoom.us/j/62177902216 Password: 786749 ** **** *When*: Tuesday 26 April at 14.30-15.30*(Swedish time, UTC+2)*. ** -- _________________________________________________________ Umberto Picchini, Associate Professor, PhD, Docent https://umbertopicchini.github.io/ , twitter: @uPicchini

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Postdoc position at Luiss
by Marco Scarsini 25 Apr '22

25 Apr '22

The Department of Economics and Finance at Luiss University has issued a call for a postdoc position in “Learning in Strategic and Stochastic Environments.” https://economiaefinanza.luiss.it/en/research/research-grants/research-gran… The ideal candidate is engaged in research at the interface of game theory, machine learning, stochastic methods, optimization, theoretical computer science, and economic theory. Although the position is not related to any specific research project, the candidate is expected to interact with the faculty having similar research interests. The postoc is expected to start in January 2023. ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss University Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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Webinar PRISMA
by c.ceci＠unich.it 25 Apr '22

25 Apr '22

Buongiorno a tutti, abbiamo il piacere di annunciare i prossimi Webinars promossi dal Gruppo UMI-PRISMA: Lunedi’ 2 maggio 2022 ore 16-17 LAURA SACERDOTE TITOLO: Input-output consistency in Integrate and Fire neuronal networks ABSTRACT: Models of neurons aim to describe the information transmission within a neural network. Some models are mathematically tractable with the introduction of strong simplifications, ignoring the involved biophysicalfeatures of the single units. Others are very faithful to reality at the price of very complex mathematical descriptions. Models are then used to describe networks, often through simulations. The appearance of particular patterns in the trains of spikes is then used to compare with observed data or to switch from microscopic to macroscopic analysis. In this framework, it is essential to guarantee the reliability of the output of the model and often scientists compare the output of the models with real data. However, when the models are used to reproduce networks the output of some neurons becomes the input of a successive layer of neurons. This fact opens a problem of consistency between input and output of layers of neurons. To the best of our knowledge, this problem has not yet been deeply investigated. Here, we consider the simplest Stochastic Integrate and Fire model and we try to characterize the features of its input in such a way to re-obtain the same features in the output. In particular, we focus on the tail properties of ISIs distribution. Observed data suggest the presence of heavy tails for this distribution. Using the Stochastic Integrate and Fire paradigm for the neurons of the network we study how such features can be transmitted from the network. In this framework we introduce a particular class of multivariate distributions, i.e. the regularly varying distributions. We show that assuming that the input to a neuron is a regularly varying random vector and that successive ISIs of a neuron are asymptotically independent thenthe resulting output is a regularly varying random variable. The talk is based on a joint work with Petr Lansky and Federico Polito. Ore 17-18 BRUNO TOALDO TITLE: Semi-Markov processes, their exit times and non-local equations ABSTRACT: We introduce the theory of semi-Markov processes and their interplay with non-local equations. Particular attention will be devoted to the theory of exit times from sets and the connection with boundary value problems, e.g., on a time-dependent parabolic domain. Collegamento Teams: https://teams.microsoft.com/l/meetup-join/19%3ad685b25ed15f4821ac5168e63cf9… Tutte le informazioni sono reperibili anche alla pagina http://www.umi-prisma.polito.it/webinars.html Grazie per l’attenzione, Claudia Ceci e Domenico Marinucci Claudia Ceci Dipartimento di Economia Universita' "G. d'Annunzio" di Chieti-Pescara V.le Pindaro 42 65127, Pescara, ITALY c.ceci(a)unich.it

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