| 08:30-09:20 | Lars Ruthotto (Emory University) |
| Mixed-Precision Algorithms for Training Deep Neural Networks |
| 09:20-10:10 | Ivan Markovsky (ICREA and CIMNE) |
| Hidden structures in data-driven representations of dynamical systems |
| 10:10-10:35 | Coffee |
| 10:35-11:00 | Alessandro Scagliotti (Technical University of Munich, and Munich Center for Machine Learning) |
| A principle for minimizers of Tikhonov-regularized problems |
| 11:00-11:25 | Christos Chatzis (Simula Metropolitan Center for Digital Engineering) |
| dCMF: Learning interpretable evolving patterns from temporal multiway data |
| 11:25-11:50 | Fabio Vito Di Fonzo (LUM University) |
| Physics Informed Neural Networks for Learning the Horizon Size in Bond-Based Peridynamic Models |
| 12:15-13:45 | Lunch |
| 13:45-14:35 | Francesco Regazzoni (MOX, Department of Mathematics, Politecnico di Milano) |
| Discovering compact latent structures in PDE solution manifolds |
| 14:35-15:25 | Marco Mondelli (Institute of Science and Technology Austria (ISTA)) |
| The Provable Emergence of Neural Collapse |
| 15:25-15:50 | Coffee |
| 15:50-16:15 | Tanakorn Udomworarat (School of Mathematical Sciences, University of Nottingham, UK) |
| Neural Network Methods for the Power Series of Perron-Frobenius Operators |
| 16:15-16:40 | Liam Llamazares Elias (University of Edinburgh) |
| Data-driven approximation of linear operators: convergence, error bounds, and applications to dynamical systems |
| 16:40-17:05 | Tianyu Jin (The Hong Kong University of Science and Technology) |
| Fast and accurate time partitioning model reduction for multiscale linear kinetic equations |
| 17:05-17:30 | Alex Viguerie (Universita degli studi di Urbino Carlo Bo) |
| Aging among persons with HIV: developing numerical and data-driven tools for a growing health concern |