YoVDO

Building Normalizing Flows with Stochastic Interpolants

Offered By: Generative Memory Lab via YouTube

Tags

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

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Related Courses

Statistical Mechanics: Algorithms and Computations
École normale supérieure via Coursera Physics of Materials
Indian Institute of Technology Madras via Swayam From Atoms to Materials: Predictive Theory and Simulations
Purdue University via edX Statistical Mechanics
Indian Institute of Technology Madras via Swayam Thermodynamics: Classical To Statistical
Indian Institute of Technology Guwahati via Swayam