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Perspectives and Practice for Scientific Machine Learning in Process Systems: Dynamic Surrogacy and Causal Discovery
Presenter
- Jordan Jalving
March 24, 2024
ICERM
Physics Constrained Machine Learning for Scientific Computing
Presenter
- Danielle Robinson
March 23, 2024
ICERM
Exact Gradient Computation for Spiking Neural Networks via Forward Propagation
Presenter
- Amin Karbasi
June 8, 2023
ICERM
Sparse Cholesky Factorization for Solving PDEs with Gaussian Processes
Presenter
- Yifan Chen
June 6, 2023
ICERM
Neural architecture search for scientific machine learning
Presenter
- Romit Maulik
June 5, 2023
ICERM
Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics
Presenter
- Steve Brunton
January 24, 2023
IPAM
Causality and machine learning for scientific discovery
Presenter
- Jelena Bradic
October 31, 2019
IPAM
A Method for Computing Inverse Parametric PDE Problems with Randomized Neural Networks
Presenter
- Suchuan Dong
June 9, 2023
ICERM
Evolving Spiking Neural Networks for Scientific Applications
Presenter
- Catherine Schuman
June 8, 2023
ICERM
Machine-Learned Finite Element Exterior Calculus for Linear and Nonlinear Problems
Presenter
- Jonas Actor
June 6, 2023
ICERM
Learning Reduced-Order Models for Cardiovascular Simulations using Graph Neural Networks
Presenter
- Luca Pegolotti
June 6, 2023
ICERM