Explore a comprehensive presentation on the paper "Action Matching: Learning Stochastic Dynamics from Samples" delivered by Kirill Neklyudov. Delve into the innovative approach of learning stochastic dynamics from sample data, gaining insights into the methodology, applications, and implications of this research. Understand the key concepts, challenges, and potential advancements in the field of generative modeling and stochastic processes through this in-depth 94-minute talk from the Generative Memory Lab.
Overview
Syllabus
Action Matching: Learning Stochastic Dynamics from Samples
Taught by
Generative Memory Lab
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