Building Normalizing Flows with Stochastic Interpolants

Explore the innovative approach to constructing normalizing flows using stochastic interpolants in this hour-long presentation by Michael S Albergo. Delve into the concepts and methodologies outlined in his research paper as he discusses the potential of this technique to enhance the capabilities of generative models. Gain insights into the theoretical foundations and practical applications of stochastic interpolants in the context of normalizing flows, and understand how this approach can contribute to advancements in machine learning and probabilistic modeling.