This five-year international research project brings together researchers in France, Colombia, Argentina, and Brazil to study high-dimensional complex systems using tools from statistical physics and applied mathematics. The project focuses on stochastic dynamics, disordered systems, random matrices, optimization, and machine learning, with topics including accelerated sampling, interacting-particle descriptions of neural networks, macroscopic fluctuation theory, Dyson Brownian motion, and generative diffusion models.
