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Leveraging Multi-time Hamilton Jacobi PDEs for Certain Scientific Machine Learning Problems
Presenter
- Paula Chen
June 9, 2023
ICERM
Evolving Spiking Neural Networks for Scientific Applications
Presenter
- Catherine Schuman
June 8, 2023
ICERM
Deep neural operators with reliable extrapolation for multiphysics, multiscale & multifidelity problems
Presenter
- Lu Lu
June 7, 2023
ICERM
Cell-average based neural network method for time dependent problems
Presenter
- Jue Yan
June 5, 2023
ICERM
Lisa Nickerson - Addressing Confounds in Neuroimaging Machine Learning Predictions - IPAM at UCLA
Presenter
- Lisa Nickerson
January 13, 2023
IPAM
Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA
Presenter
- Michele Ceriotti
January 11, 2023
IPAM
Cecelia Clementi - Designing molecular models with machine learning and experimental data
Presenter
- Cecelia Clementi
January 11, 2023
IPAM
Soledad Villar - Introduction to equivariant machine learning - IPAM at UCLA
Presenter
- Soledad Villar
October 27, 2022
IPAM
Ivan Pedro Lobato Hoyos - Application of machine learning to electron microscopy data - IPAM at UCLA
Presenter
- Ivan Hoyos
October 25, 2022
IPAM
Jan Hermann - Neural-network wave functions for quantum chemistry
Presenter
- Jan Hermann
May 25, 2022
IPAM
Shiwei Zhang - Auxiliary-field methods for quantum materials - IPAM at UCLA
Presenter
- Shiwei Zhang
May 23, 2022
IPAM
Hub and Spokes Model for Governmental Statistics: Data Linkage and Data Security
Presenter
- Keunkwan Ryu
February 10, 2022
IMSI