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Physical constraints in machine learning models of electronic and atomic interactions
Presenter
- Boris Kozinsky
March 26, 2024
IMSI
Physics Constrained Machine Learning for Scientific Computing
Presenter
- Danielle Robinson
March 23, 2024
ICERM
Thomas Barthel - Quantum sim of condensed matter using Trotterized entanglement renormalization
Presenter
- Thomas Barthel
February 8, 2024
IPAM
Discriminating Between Multiple Models of Stem Cell Lineages
Presenter
- Alexandra Jilkine
June 12, 2023
ICERM
Shenglin Huang - Data-Driven Model Discovery for Non-equilibrium Processes - IPAM at UCLA
Presenter
- Shenglin Huang
April 18, 2023
IPAM
Aidan Thompson - LAMMPS simulation: physics models, machine-learning potentials, exascale computing
Presenter
- Aidan Thompson
March 27, 2023
IPAM
Mark Tuckerman - From A to B via a synthesis of rare-event sampling and machine learning
Presenter
- Mark Tuckerman
January 24, 2023
IPAM
Ben Recht - Splitting the difference between deep and shallow solutions of inverse problems
Presenter
- Ben Recht
November 30, 2022
IPAM
Kernel Flow Emulation for NASA’s Surface Biology and Geology Mission
Presenter
- Amy Braverman
November 30, 2022
IMSI
Reconstructing surface ocean dynamics from sparse satellite observations with deep learning
Presenter
- Scott Martin
November 30, 2022
IMSI
Frederick Poitevin - Inference Poses for Reconstruction of 3D Molecular Volumes from Cryo-EM Images
Presenter
- Frederick Poitevin
November 16, 2022
IPAM
Ivan Pedro Lobato Hoyos - Application of machine learning to electron microscopy data - IPAM at UCLA
Presenter
- Ivan Hoyos
October 25, 2022
IPAM