seminars
31
Mar
2025
19
May
2025
Mathematics
PhD Course at SISSA "From quadratic forms to modular forms to quantum ...
Physical
This multidisciplinary conference seeks to unite leading researchers from the fields of statistical physics, mathematical physics, and machine learning. Our goal is to offer diverse perspectives on crucial topics in contemporary machine learning, including:
Associative memories, diffusion models, energy-based models;
Representation learning, structured data modeling;
Language modeling, self-supervised learning, alternative learning paradigms;
Mathematical physics approaches to high-dimensional probability, spin glasses, Boltzmann machines;
Learning dynamics and information propagation in neural networks.
Consult the website for more info! https://sites.google.com/view/rockin-ai/home-page