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Building Normalizing Flows with Stochastic Interpolants

Offered By: Generative Memory Lab via YouTube

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Generative Models Courses Data Science Courses Machine Learning Courses Neural Networks Courses Probability Theory Courses Statistical Mechanics Courses Computational Physics Courses

Course Description

Overview

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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.

Syllabus

Building Normalizing Flows with Stochastic Interpolants


Taught by

Generative Memory Lab

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