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Speaker List

Displaying 24 speakers out of 24
A. JALAL (UC Berkeley)
Compressed Sensing using Generative Models: Theory and Applications
B. SIMSEK (EPFL)
Finite-Width Neural Networks: A Landscape Complexity Analysis
E. BOIX-ADSERA (MIT)
The staircase property and the leap complexity
E. MATHIEU (University of Cambridge)
Geometric Neural Diffusion Processe
F. CAGNETTA (EPFL)
Learning hierarchical compositionality with deep convolutional networks: insights from a Random Hierarchy Model
F. CAMILLI (ICTP)
Matrix Factorization with Neural Networks of Associative Memory
F. GERACE (SISSA)
Data-centric AI: Play with Datasets to Improve Machine Learning Performances
J. TRINQUIER (ENS)
Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems
JEAN BARBIER (ICTP)
Opening remarks
K. CHANDRASEKHER (Stanford University)
Convergence guarantees for iterative algorithms in a class of nonconvex empirical risk minimization problems
L. HRUZA (ENS Paris)
How Free Probability appears in mesoscopic quantum systems
M. ALBERGO (New York University)
Stochastic Interpolants: A unifying framework for flows and diffusions
M. BUKOV (MPIKS DRESDEN)
Introduction to Deep Reinforcement Learning with applications in Quantum Control
MARCO MONDELLI (ISTA)
Opening remarks
MARYLOU THERESE GABRIE (École Polytechnique)
Opening remarks
MICHAEL DOUGLAS (Stony Brook University and Harvard University, USA)
HECAP-MATH Special Lecture: How will we do mathematics in 2030 ?
P. ROTONDO (University of Parma)
Statistical mechanics of deep learning beyond the infinite-width limit
R. DUDEJA (Harvard University)
Spectral Universality in Regularized Linear Regression
R. GHEISSARI (Northwestern)
High-dimensional Limit Theorems for Stochastic Gradient Descent
S. FREI (UC Berkeley)
Implicit regularization and benign overfitting for neural networks in high dimensions
S. GOEL (University of Pennsylvania)
Thinking fast with Transformers - Algorithmic Reasoning via Shortcuts
S. PAPPALARDI (University of Köln)
The Eigenstate Thermalization Hypothesis and Free Probability
SEBASTIAN GOLDT (SISSA)
Opening remarks
Y. ZHANG (ISTA)
Discovering spikes in random matrices using approximate message passing

Organizers

Marylou Therese GABRIE (École Polytechnique), Sebastian GOLDT (SISSA), Marco MONDELLI (IST Austria), Local Organiser: Jean Barbier (ICTP)

Co-sponsors