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Diffusion Models for Solving Forward and Inverse Problems in PDEs - Tutorial 3

Offered By: MICDE University of Michigan via YouTube

Tags

Diffusion Models Courses Machine Learning Courses Mathematical Modeling Courses Scientific Computing Courses Numerical Methods Courses Partial Differential Equations Courses

Course Description

Overview

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Explore the application of diffusion models in solving forward and inverse problems in Partial Differential Equations (PDEs) through this comprehensive tutorial presented by Tony Zhuang. Delve into advanced mathematical concepts and computational techniques as you learn how diffusion models can be leveraged to address complex challenges in PDE-related problems. Gain insights into the latest research and methodologies in this field, and discover practical approaches for implementing these models in various scientific and engineering domains.

Syllabus

Tony Zhuang: Diffusion Models for Solving Forward and Inverse Problems in PDEs (Tutorial 3)


Taught by

MICDE University of Michigan

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