Lars Ruthotto, Emory University, lecturer
December 8-12, 2025 at University of Houston
Yunhui He, yhe43@uh.edu, organizer
website: http://www.math.uh.edu/cbms-amml
Lecture Slides:
Lecture 1: Machine Learning Overview
Lecture 2: Neural Network Architectures and Loss Functions
Lecture 3: Optimization for Machine Learning
Lecture 4: Modern Theory of Stochastic Gradient Descent
Lecture 5: Efficient Optimization Methods
Lecture 6: PDE Framework for Generative Modeling
Lecture 7: Scientific Machine Learning for PDEs
Lecture 8: High-Dimensional PDEs
Lecture 9: Machine Learning for Inverse Problems
Lecture 10: Mathematical Discovery and Verification