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Jutta Rogal - Machine learning collective variables for sampling of structural transformations
Presenter
- Jutta Rogal
January 26, 2023
IPAM
Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms
Presenter
- Stefan Chmiela
January 25, 2023
IPAM
Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics
Presenter
- Steve Brunton
January 24, 2023
IPAM
Oliver Eberle - Explainable structured machine learning in similarity, graph and transformer models
Presenter
- Oliver Eberle
January 12, 2023
IPAM
Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA
Presenter
- Osbert Bastani
January 10, 2023
IPAM
Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA
Presenter
- Kevin Kelly
December 2, 2022
IPAM
Carlos Oscar Sorzano - Machine learning for Single Particle Analysis by Cryo-Electron Microscopy
Presenter
- Carlos Sorzano
November 14, 2022
IPAM
Ellen Zhoung - Machine learning for determining protein structure and dynamics from cryo-EM images
Presenter
- Ellen Zhong
November 14, 2022
IPAM
Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging
Presenter
- Ian Robinson
October 13, 2022
IPAM
Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA
Presenter
- Demetri Psaltis
October 13, 2022
IPAM
Mahdi Soltanolkotabi - Machine Learning and Computational Imaging
Presenter
- Mahdi Soltanolkotabi
September 13, 2022
IPAM
Mathematics Of Machine Learning: Reinforcement Learning Pt 4
Presenter
- Mengdi Wang
August 4, 2022
SLMath