Wasserstein gradient flows and applications to sampling in machine learning - lecture 1
De Anna Korba
Wasserstein gradient flows and applications to sampling in machine learning - lecture 2
De Anna Korba
Wasserstein gradient flows and applications to sampling in machine learning - lecture 3
De Anna Korba
Arithmeticity for Smooth Maximal Rank Positive Entropy Actions of $\mathbb{R}^k$
De Alp Uzman
Quantum Exclusion Process, Random Matrices and Free Cumulants
De Philippe Biane