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Course Dmitri Koroliouk: Introduction into Neural Networks and Deep Learning
by mic sal 03 May '22

03 May '22

Dear all, from May 11th until June 30th, Dmitri Koroliouk (Kiev university) will give a course at Tor Vergata university with title Introduction into Neural Networks and Deep Learning The schedule of the course, the venue and the topics treated in each lecture can be found in the file in attachment. This course is part of the Excellence Project Math@TOV. You can find a summary of this and the other events organized by the newly established RoMaDS center at the following link: https://www.mat.uniroma2.it/~rds/events.php .

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Manifestazioni di interesse RTD-B MAT/06 a Parma
by Francesco Morandin 03 May '22

03 May '22

Salve a tutti, vorrei raccogliere manifestazioni di interesse qualificate per una posizione RTD B in probabilità (MAT/06) che potrebbe essere bandita nel prossimo futuro presso il Dipartimento di Scienze Matematiche, Fisiche e Informatiche di Parma. Gli interessati sono incoraggiati a contattarmi, anche per informazioni e chiarimenti. -- Francesco Morandin -- frmor.net Department of Mathematical, Physical and Computer Sciences Parma University -- sfmi.unipr.it To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. (R.A. Fisher)

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PhD course Long time asymptotic and criticality in random dynamics (Mariani-DiGesù)
by Dario Trevisan 02 May '22

02 May '22

Dear all, during May, prof. Mauro Mariani will be INdAM Visiting Professor at the University of Pisa, and will deliver a the first half of a PhD Course on Long time asymptotic and criticality in random dynamics (abstract below). The second half will be later given by Giacomo di Gesù (Sapienza Università di Roma). The format will be blended, in presence and online using Microsoft Teams. The first lecture is scheduled on Thursday, May 5th, at 11 am, at Aula Seminari of the Department of Mathematics (Largo Bruno Pontecorvo, 5, first floor) and online at the link https://teams.microsoft.com/l/meetup-join/19%3aNPe79QEwg0BQ31oFUsis6tD5qgF2… Dates and times later lectures are possibly subject to changes, but are now tentatively scheduled every Thursday and Friday, 11 am, same room (Aula Seminari), starting from Thursday 12th. No lecture will be delivered on Friday 6th. Please feel free to forward this message to anyone who might be interested, and write me if you want to be added to the Team (to access records of the lectures and further material). Regards, Dario Trevisan %%% Abstract: The qualitative behavior of random evolutions in the long time asymptotic is a classical subject, which has recently found new motivations in high dimensional optimization. The course provides an introduction to classical and recent results concerning the long time behavior of some classes of Markov processes. In the first part, we will introduce some tools typical of potential theory in an elementary context, with focus on the reversibility non-reversibility paradigm. In the second part of the class, we will focus on establishing some recent results for more involved models and infinite-dimensional dynamics. 1. Ergodicity and long time behavior of Markov processes. 2. Potential theory and spectral analysis for processes on graphs. 3. Applications to statistical mechanics models. -- Dario Trevisan, Università degli Studi di Pisa, Dipartimento di Matematica, Largo Bruno Pontecorvo 5, 56127 - Pisa (PI) Italy telephone: (+39) 050 2213832 mobile: (+39) 331 2899761 Skype: dario-trevisan e-mail: dario.trevisan AT unipi.it webpage: http://people.dm.unipi.it/trevisan/

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Procedura selettiva 2022RUA03 - RTDa 13D1
by Alessandra Fabbri Colabich 02 May '22

02 May '22

Buongiorno, è stato pubblicato il Bando relativo all'indizione di una procedura selettiva per posti da Ricercatore a tempo determinato RTD-A, di cui uno nel settore concorsuale 13D1 presso il Dipartimento di Scienze Statistiche dell’Università degli Studi di Padova. Il bando è disponibile all’indirizzo: https://www.stat.unipd.it/procedura-selettiva-2022rua03 La *scadenza* per la presentazione delle domande è il *30 maggio 2022 alle ore 13*. Si prega di dare la massima diffusione presso tutti gli interessati. Grazie per la collaborazione Alessandra Fabbri Colabich -- Dott.ssa Alessandra Fabbri Colabich Università degli Studi di Padova Dipartimento di Scienze Statistiche [image: Ottocento anni di libertà e futuro]

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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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