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Hidden structures in dynamical systems, optimization, and machine learning

Schedule

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This is my image.
This is my image.



Monday, 19 May 2025
08:20-08:30Welcome
08:30-09:20Christian Lubich (University of Tuebingen)
Regularized nonlinear parametric approximation of evolution equations
09:20-10:10Beatrice Meini (Universita di Pisa)
On the stochastic approximation of the $p$th root of a stochastic matrix
10:10-10:35Coffee
10:35-11:00Chiara Piazzola (Technical University of Munich)
Equilibria and bifurcations of reaction-diffusion PDEs with random coefficients
11:00-11:25Alessandro Alla (Sapienza Universita di Roma)
Data-Driven Algorithms for Online Identification and Control of Partial Differential Equations
11:25-11:50Giovanni Pagano (Department of Agricultural Sciences, University of Naples Federico II, Italy)
Derivation of time-discrete Physics-Informed Neural Networks for PDEs models
11:50-12:15Mattia Manucci (University of Stuttgart)
Solving Generalized Lyapunov Equations with guarantees: application to the Reduction of Switched Linear Systems
12:15-13:45Lunch
13:45-14:35Matthew Colbrook (University of Cambridge)
Navigating Limits in Learning Complex Systems
14:35-15:25Michele Buzzicotti (University of Rome Tor Vergata and INFN)
Generation and Reconstruction of Lagrangian Turbulence with Stochastic Generative Models
15:25-17:30Poster Session
List of posters presenters and abstracts
Tuesday, 20 May 2025
08:30-09:20Lars Ruthotto (Emory University)
Mixed-Precision Algorithms for Training Deep Neural Networks
09:20-10:10Ivan Markovsky (ICREA and CIMNE)
Hidden structures in data-driven representations of dynamical systems
10:10-10:35Coffee
10:35-11:00Sergey Dolgov (University of Bath)
Low-rank approximations for large-scale nonlinear feedback control
11:00-11:25Alessandro Scagliotti (Technical University of Munich, and Munich Center for Machine Learning)
A principle for minimizers of Tikhonov-regularized problems
11:25-11:50Christos Chatzis (Simula Metropolitan Center for Digital Engineering)
dCMF: Learning interpretable evolving patterns from temporal multiway data
11:50-12:15Fabio Vito Di Fonzo (LUM University)
Physics Informed Neural Networks for Learning the Horizon Size in Bond-Based Peridynamic Models
12:15-13:45Lunch
13:45-14:35Francesco Regazzoni (MOX, Department of Mathematics, Politecnico di Milano)
Discovering compact latent structures in PDE solution manifolds
14:35-15:25Marco Mondelli (Institute of Science and Technology Austria (ISTA))
The Provable Emergence of Neural Collapse
15:25-15:50Coffee
15:50-16:15Tanakorn Udomworarat (School of Mathematical Sciences, University of Nottingham, UK)
Neural Network Methods for the Power Series of Perron-Frobenius Operators
16:15-16:40Liam Llamazares Elias (University of Edinburgh)
Data-driven approximation of linear operators: convergence, error bounds, and applications to dynamical systems
16:40-17:05Tianyu Jin (The Hong Kong University of Science and Technology)
Fast and accurate time partitioning model reduction for multiscale linear kinetic equations
17:05-17:30Alex Viguerie (Universita degli studi di Urbino Carlo Bo)
Aging among persons with HIV: developing numerical and data-driven tools for a growing health concern
Wednesday, 21 May 2025
09:00-09:50Des Higham (University of Edinburgh)
Investigating Diffusion Models for Generative AI
09:50-10:40Nicolas Gillis (University of Mons)
Nonnegative Tucker Decomposition: Introduction, Identifiability and Algorithms
10:40-11:10Coffee
11:10-12:00Anders Karlsonn (University of Geneva and Uppsala University)
Metrics in dynamical systems and training in reverse
12:50-14:00Lunch
14:00-19:00Excursion
20:30-Dinner
Thursday, 22 May 2025
08:30-09:20Holger Rauhut (Ludwig-Maximilians-University of Munich)
The implicit bias phenomenon in deep learning
09:20-10:10Karsten Urban (Ulm University)
Certification of physics-informed neural networks for solving PDEs
10:10-10:35Coffee
10:35-11:00Sidney Holden (Center for Computational Biology, Flatiron Insitute)
A continuum limit for dense spatial networks
11:00-11:25Stefano Sicilia (University of Mons)
Minimum-norm solutions of the non-symmetric semidefinite Procrustes problem
11:25-11:50Miryam Gnazzo (Universita di Pisa)
Riemann-Oracle: A general-purpose Riemannian optimizer to solve nearness problems in matrix theory
11:50-12:15Giovanni Barbarino (University of Mons)
On the Computation of the Maximum Conic Singular Values
12:15-13:45Lunch
13:45-14:35Jonas Latz (University of Manchester)
Losing momentum in continuous-time stochastic optimisation
14:35-15:25Konstantin Usevich (CNRS, CRAN, Nancy, France)
Multilayer neural networks and tensor decompositions
15:25-15:50Coffee
15:50-16:15Monica Pragliola (University of Naples Federico II)
Sparse recovery problem in a hierarchical Bayesian framework
16:15-16:40Mario Pezzella (National Research Council of Italy, Institute for Applied Mathematics “Mauro Picone")
Positivity-Preserving Patankar Approaches for Production-Destruction Systems: Simulation and Optimal Control
16:40-17:05Maria Prat Colomer (Brown University)
From PINNs to Computer-Assisted Proofs for Fluid Dynamics
17:05-17:30Edward Tansley (University of Oxford)
Scalable Second-Order Optimization Algorithms for Minimizing Low-Rank Functions
Friday, 23 May 2025

08:30-09:20Olga Mula (TU Eindhoven)
Stable Nonlinear Dynamical Approximation with Dynamical Sampling
09:20-10:10Michael Overton (Courant Institute of Mathematical Sciences)
Multifidelity Robust Controller Design with Gradient Sampling
10:10-10:35Coffee
10:35-11:25Nikos Pitsianis (Aristotle University of Thessaloniki, Greece and Duke University, USA)
The Dominant Spectral Subspace for Nodal Decomposition of a Network Interconnecting Tight-Knit Communities
11:25-12:15Armando Bazzani (University of Bologna and INFN)
Maximum entropy principles for Markov processes and their application to transport systems
12:00-12:50Peter Markovich (University of Vienna and KAUST)
PDE Models for Deep Neural Networks: Learning Theory, Calculus of Variations and Optimal Control
12:15-12:30Farewell