Dear all,
From the 7th until the 11th of April, RoMaDS <https://www.mat.uniroma2.it/~rds/events.php> will host <https://jschmidthieber.personalweb.utwente.nl/> <https://jschmidthieber.personalweb.utwente.nl/>Johannes Schmidt-Hieber <https://jschmidthieber.personalweb.utwente.nl/> (University of Twente) with the mini-course
Statistical theory of deep learning
The schedule is as follows: Mon 14:00-16:30, Wed 14:00-16:30, Fri 14:00-16:30. All lectures will be held in Aula Dal Passo in the Math Department of university of Rome, Tor Vergata.
Here is the program for the three lectures:
Lecture 1. Intro and theory for shallow networks
Perceptron convergence theorem
Universal approximation theorem
Approximation rates for shallow neural networks
Barron spaces
Lecture 2. Theory for deep networks
Advantages of additional hidden layers
Deep ReLU networks
Misclassification error for image deformation models
Lecture 3. Theory of gradient descent in machine learning
Optimization in machine learning
Weight balancing phenomenon
Analysis of dropout
Benign overfitting
Grokking
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…"Tid"%3a"24c5be2a-d764-40c5-9975-82d08ae47d0e"%2c"Oid"%3a"650fc4a8-4cec-4bd2-87bc-90d134074fe6"} <https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…>
The seminars are part of the Excellence Project MatMod@TOV.
[Apologies if you receive multiple copies of this CfP]
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Special Session on High Performance Computing for AI-driven Genomics
@ CIBB 2025
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Call for Papers
===================================================================
September 10 - 12, 2025, Milan, Italy
Conference Website: https://www.bioinformatics.polimi.it/CIBB2025/#special-tracks
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Aims and Scope:
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The growing availability of genomic data represents both a vast resource and a
significant computational challenge. This enormous volume of data provides
valuable insights into the DNA structure of organisms. However, processing a
massive amount of genomic sequences demands substantial computational power.
High-Performance Computing (HPC) infrastructures have become pivotal for
efficiently exploring, analyzing, and interpreting large genomic collections,
enhancing advancements across all fields of computational genomics. Moreover,
GPU-accelerated computing enables highly parallelized operations, significantly
improving the efficiency of deep learning models, large-scale sequence
alignments, and genomic simulations.
This special session aims to bring together researchers working at the
intersection of deep learning, High-Performance Computing (HPC), including
GPU-accelerated computing, alongside genomic data modeling and analysis. By
focusing on the integration of advanced computational techniques with genomic
research, the session fosters collaboration and innovation in developing new
methodologies for tackling the challenges posed by large-scale genomic datasets.
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Topics of Interest:
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- Deep Learning for Genomic Data Modeling
- Generative Models for Synthetic Genomes Generation
- Computer Vision Integration in Computational Genomics
- Modeling Genome and Pangenome Large-Scale Graphs with Graph Neural Networks
- Leveraging Large Language Models (LLMs) in Genomic Data Science
- Explainable AI in Genomics: Methods and Applications
- High-Performance Computing for Scalable Genomic Workflows
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Special Session Organizers:
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Ilaria Billato, University of Padova, Italy
Riccardo Ceccaroni, Sapienza University of Rome, Italy
Emanuel Di Nardo, University of Naples Parthenope, Italy
Lorenzo Di Rocco, Sapienza University of Rome, Italy
Umberto Ferraro Petrillo, Sapienza University of Rome, Italy
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Important Dates:
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- Short paper submission: April 30, 2025
- Acceptance/rejection notification: June 23-30, 2025
- Camera-ready short paper submission: July 6, 2025
- Conference: September 10 - 12, 2025
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Proceedings:
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Submitted contributions will be peer-reviewed, and all accepted papers presented
at the conference will be invited to submit extended versions for publication in
the Springer Lecture Notes in Bioinformatics (LNBI) or a selected top
bioinformatics journal.
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Lorenzo Di Rocco
Postdoctoral Researcher
Department of Statistical Sciences
La Sapienza - University of Rome
P.le Aldo Moro, 5
00185 - Rome, Italy
e-mail: lorenzo.dirocco(a)uniroma1.it
This is the final announcement for the Workshop
STOCHASTIC EQUATIONS AND PARTICLE SYSTEMS
7–9 April 2025, Istituto Nazionale di Alta Matematica “Francesco Severi”
---- Schedule----
Monday, April 7
09:00 Registration
09:45 Xue-Mei Li – TBA
10:30 Coffee break
11:00 Neill O’Connell – Discrete Whittaker processes
11:45 Max-Konstantin von Renesse – TBA
12:30 Lunch break
14:15 Federico Cornalba – Numerical aspects for stochastic PDEs of Fluctuating Hydrodynamics
14:45 Francesco Grotto – Stochastic transport models of turbulence
15:15 Vlad Mărgărint – A bridge between Random Matrix Theory and Schramm-Loewner Evolutions Theory
Tuesday, April 8
09:00 Nils Berglund – Renormalisation and sharp asymptotics for metatable transition times
in stochastic Allen-Cahn equations
09:45 Benjamin Gess – Gradient flow structures and large deviations for porous media equations
10:30 Coffee break
11:00 Lorenzo Zambotti – Reflected, Skew or Bessel SPDEs and stochastic sewing
11:45 Patrícia Gonçalves – TBA
12:30 Lunch break
14:15 Kirone Mallick – An exact solution of the macroscopic fluctuation theory for symmetric exclusion
15:00 Karl-Theodor Sturm – Conformally invariant random geometry in dimensions n>2
Wednesday, April 9
09:00 Benoit Dagallier – Uniqueness of the invariant measure of the phi42 dynamics in infinite volume
09:45 Marco Romito – TBA
10:30 Coffee break
11:00 Davide Gabrielli – Solvable Stationary Non Equilibrium States
11:45 Arnaud Debussche – From correlated to white transport noise in fluid models
---------
Please visit the site
https://www1.mat.uniroma1.it/people/bertini/seps/
for further information.
Participation is free, due to the limited space of the lecture room
registration is however mandatory.
The organizers,
L. Bertini
L. Dello Schiavo
G. Di Gesu'
G. Jona-Lasinio
----------------------------------------------------------------
Gustavo Posta
Dipartimento di Matematica
Università di Roma "la Sapienza"
P.le A. Moro 2, 00185 Roma
Italy
web: http://www1.mat.uniroma1.it/~posta
e-mail: gustavo.posta(a)uniroma1.it
phone: +39-06-4991-4969
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Dear Colleagues,
I forward the following advertisement with pleasure.
Best wishes,
Giorgio Ferrari
%%%%%%
A postdoctoral position is available in Project B3 (Numerical
Approximation of Stochastic PDEs and Stochastic Games) within the
Collaborative Research Center 1283
(https://www.sfb1283.uni-bielefeld.de/) at Bielefeld University. We seek
a candidate with a PhD in Mathematics and expertise in numerics, theory,
or control of nonlinear (stochastic) partial differential equations. The
project covers a range of research topics, making the position suitable
for candidates with expertise in one or more of these areas. The initial
contract will run until January 2026, with the possibility of extension
for up to four years total.
For further details, please contact Prof. Dr. Lubomir Banas,
banas(a)math.uni-bielefeld.de
Dear Colleagues,
I am pleased to share with you the advert below for PhD positions.
With kind regards,
Chiara Amorino
Fully-funded PhD positions to start in October 2025 are available at the
University of Warwick. Successful applicants would work with Dr. Tom
Berrett on ERC-funded project HeDiStat: Statistical theory and methodology
for the combination of heterogeneous and distributed data. Please see the
advert (
https://www.jobs.ac.uk/job/DME519/phd-studentship-in-statistical-theory-and…)
for more details.
There is also a separate possibility of a fully-funded PhD position joint
between Warwick and Cergy, Paris, working with Dr. Tom Berrett (Warwick)
and Prof. Olga Klopp (ESSEC, Paris). Successful applicants would split
their time between the two institutions and benefit from increased
international connections. The topic of this project is methodology and
theory for causal inference and missing data problems. The application
deadline is at the end of the month so please get in touch with
tom.berrett(a)warwick.ac.uk or olga.klopp(a)math.cnrs.fr as soon possible for
more details.
Dear all,
We are glad to announce the 5TH SPRING COLLOQUIUM ON PROBABILITY AND
FINANCE, held at the Department of Mathematics "Tullio Levi-Civita" of
the University of Padova, on APRIL 19TH, 2024.
The Colloquium will bring together researchers in stochastic analysis
and mathematical finance. The workshop will start at 10am and end at
5pm. Attendance is free but registration is required (on the
conference website). Please note that, due to the small capacity of
the conference room, we will be able to host only a limited number of
attendees.
WEBSITE: https://events.math.unipd.it/SpringColloquium5
INVITED SPEAKERS:
- Eduardo ABI JABER (École Polytechnique, FR)
- Huy Ngoc CHAU (University of Manchester, UK)
- Giulia DI NUNNO (University of Oslo, NR)
- Roxana DUMITRESCU (King's College London, UK)
- David SKOVMAND (University of Copenhagen, DK)
- Luca TASCHINI (University of Edinburgh, UK)
We hope to see you in Padova! Best wishes,
Giorgia Callegaro and Claudio Fontana
Dear colleagues,
this is a gentle reminder of today One World Probability Seminar, details below. Please note the unsual time: the seminar will be held at 17:00 (italian time).
You can find the calendar for the upcoming seminars at this link<https://www.owprobability.org/one-world-probability-seminar/future-seminars>.
We hope to see many of you online!
Luisa and Roger
________________________________
Da: One World Probability <ow.probability(a)gmail.com>
Inviato: mercoledì 2 aprile 2025 14:41
A: Luisa Andreis <luisa.andreis(a)polimi.it>
Oggetto: Fwd: Next OWPS
The next OWPS will be on Wednesday, April 2, from 15:00 to 17:00 UTC time. Note that the UTC time is shifted by one hour (to add to the confusion of those of you in countries that have changed the clock recently).
Title, abstract and the zoom link are below the signature and can be found on the website https://www.owprobability.org/one-world-probability-seminar<https://protect-eu.mimecast.com/s/-zGkCWqjZFlpkVlsnEyR_?domain=eur01.safeli…>.
-----------------------
Spherical integrals in probability and beyond
Colin McSwiggen (Academia Sinica)
This mostly expository talk will introduce a number of types of integrals over compact Lie groups that show up constantly in probability and mathematical physics. The analysis of these so-called spherical integrals, in particular their high-dimensional ("large-N") asymptotics, has played a central role in random matrix theory and related subjects over the last 25 years. I'll outline the history of these special functions and describe a number of applications in which they arise, including some original research results with various coauthors. Finally, as a segue to the second lecture by Jon Novak, I'll discuss approaches to large-N analysis.
Hypergeometric functions of huge (random) matrices
Jonathan Novak (UC San Diego)
Hypergeometric functions of matrix arguments are multivariate generalizations of classical hypergeometric functions, and approximating hypergeometric functions of huge matrices is one of the most exciting open problems in high-dimensional analysis. Over the course of the past decade, it has gradually become clear that hypergeometric functions of matrices are discrete analogues of random matrix partition functions. This analogy is clearest for complex matrices, where hypergeometric functions are discrete counterparts of the partition function of the Hermitian one-matrix model with an arbitrary potential, with Schur measure taking on the role of the Gaussian background. Once this is understood, a striking conjecture explicitly describing the asymptotics of all hypergeometric functions emerges. I will explain this conjecture, and outline recent progress towards its solution.
https://polimi-it.zoom.us/j/92945513591?pwd=zjtRwpHoO9kRyQuPPj4o186jXrvg1v.1
Meeting ID: 92945513591
Passcode: 131676
Ricevo e inoltro volentieri.
> Dear all,
>
> We invite applications for a fully-funded PhD position on "Resilience of Dynamic Flow Networks" within applied probability at Eindhoven University of Technology, the Netherlands.
>
> More information on this position and the application procedure can be found here:https://www.tue.nl/en/working-at-tue/vacancy-overview/phd-ta-resilience-of-dynamic-flow-networks/ <https://www.google.com/url?q=https://www.tue.nl/en/working-at-tue/vacancy-o…>.
>
> Deadline: May 4, 2025.
>
> Please feel free to share this opportunity with potential candidates in your network!
>
> Best regards,
> Fiona Sloothaak
Call for expressions of interest: PhD positions in Verona
We are looking for PhD students for the track in "Mathematics and Data Analytics for Finance" of our PhD program in "Economics and Finance". This is a 4-year PhD program.
The objective of the "Mathematics and Data Analytics for Finance" track is to prepare students for academic/professional careers in Financial Mathematics and Data Analytics according to the highest international standards.
We welcome applications from students with a strong background in mathematics, physics, statistics, quantitative finance or other highly quantitative disciplines.
During the first year, students will be offered a research-oriented training program. Core compulsory courses are:
1) Financial Time Series
2) Mathematical Statistics
3) Financial Mathematics
4) Continuous Time Econometrics
5) Stochastic Optimization and Control
6) Stochastic Processes in Finance
Courses are coordinated by Giuseppe Buccheri, Alessandro Gnoatto, Cecilia Mancini, Athena Picarelli, Francesca Rossi, Catia Scricciolo, Sara Svaluto Ferro under the supervision of Athena Picarelli (director of the PhD program).
We will also offer a wide basket of elective courses offered by leading international experts.
The attendance of Summer and Winter schools and an international research stay of at least 6 months are strongly encouraged. Financial support is provided.
To express your interest, please send your CV to athena [dot] picarelli [at] univr [dot] it
--
Prof. Alessandro Gnoatto
Presidente del CdLM "Banca e Finanza"
Dipartimento di Scienze Economiche
Università degli Studi di Verona
Via Cantarane 24
37129, Verona, Italy
Room 1.05
Tel: +39 045 802 8537<tel:+390458028537>
Homepage: www.alessandrognoatto.com<http://www.alessandrognoatto.com/>
E-mail: alessandro.gnoatto(a)univr.it<mailto:alessandro.gnoatto@univr.it>
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View my research on my SSRN Author page:
http://ssrn.com/author=1615989
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