Efficient and Reliable Deep Learning Methods and their Scientific Applications
Videos from BIRS Workshop
Russel Caflisch, Courant Institute, NYU
Monday Jun 23, 2025 09:07 - 09:32
An Adjoint Method for Optimization of the Boltzmann Equation
Cory Hauck, Oak Ridge National Laboratory
Monday Jun 23, 2025 09:33 - 10:03
Data-driven strategies for moment closures in radiation transport
Yifei Lou, University of North Carolina at Chapel Hill
Monday Jun 23, 2025 10:31 - 11:00
Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing
Zhiqiang Cai, Purdue University
Monday Jun 23, 2025 11:01 - 11:31
Neural Networks in Scientific Computing (SciML): Basics and Challenging Questions
Stanley Osher, UCLA
Monday Jun 23, 2025 12:59 - 13:29
A Novel Approach for Solving Hamilton–Jacobi Equations with Applications to Optimal Transport
Yen-Hsi Tsai, University of Texas at Austin
Monday Jun 23, 2025 13:33 - 14:28
Deep Learning Approaches for Solving Differential Equations by Classical Convergent Numerical Schemes
Wenrui Hao, Penn State University
Monday Jun 23, 2025 14:30 - 15:10
Homotopy Training Algorithms in Scientific Machine Learning
Nhat Thanh Tran, UC Irvine
Monday Jun 23, 2025 15:31 - 16:01
Efficient Local-Global Attention Approximation
Rongjie Lai, Purdue University
Monday Jun 23, 2025 16:01 - 16:32
Unsupervised Solution Operator Learning for Mean-Field Games
Yulong Lu, University of Minnesota Twin Cities
Monday Jun 23, 2025 16:37 - 17:08
Provable in-context learning of PDEs
