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Action Matching: Learning Stochastic Dynamics from Samples

Offered By: Generative Memory Lab via YouTube

Tags

Machine Learning Courses Probability Theory Courses Statistical Physics Courses Markov Chain Monte Carlo Courses Generative Models Courses

Course Description

Overview

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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.

Syllabus

Action Matching: Learning Stochastic Dynamics from Samples


Taught by

Generative Memory Lab

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