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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
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
Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging
Presenter
- Ian Robinson
October 13, 2022
IPAM
Marie-Ingrid Richard - Structural evolution of nanoparticles observed with Bragg coherent x-ray
Presenter
- Marie-Ingrid Richard
October 12, 2022
IPAM
GEOMETRIC AND TOPOLOGICAL APPROACHES TO REPRESENTATION LEARNING IN BIOMEDICAL DATA
Presenter
- Smita Krishnaswamy
December 16, 2021
ICERM
Rapid and robust parameter estimation for gravitational wave observations
Presenter
- Jonathan Gair
December 3, 2021
IPAM
Geometric and Topological Approaches to Representation Learning in Biomedical Data
Presenter
- Smita Krishnaswamy
August 31, 2021
IMSI
Efficient Tensor Representation for Deep Learning with TensorLy and PyTorch
Presenter
- Jean Kossaifi
May 19, 2021
IPAM