2025
Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
ICML 2025oral
Many applications in machine learning involve data represented as probability distributions. The emergence of such data requires radically novel techniques to design tractable gradient flows on probability distributions over this type of (infinite-dimensional) objects. For instance, being able to fl…