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Hamsa Bastani - Decision-Aware Learning for Global Health Supply Chains - IPAM at UCLA
Presenter
- Hamsa Bastani
March 1, 2023
IPAM
Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA
Presenter
- Xavier Bresson
February 27, 2023
IPAM
Jutta Rogal - Machine learning collective variables for sampling of structural transformations
Presenter
- Jutta Rogal
January 26, 2023
IPAM
Mohammed AlQuraishi - OpenFold: Lessons and insights from rebuilding and retraining AlphaFold2
Presenter
- Mohammed AlQuraishi
January 23, 2023
IPAM
Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA
Presenter
- Osbert Bastani
January 10, 2023
IPAM
Combining Stochastic Parameterized Reduced Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations
Presenter
- Nan Chen
October 31, 2022
IMSI
Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA
Presenter
- Demetri Psaltis
October 13, 2022
IPAM
Leslie Vogt-Maranto - Molecular Electron Densities via Machine Learning
Presenter
- Leslie Vogt-Maranto
May 24, 2022
IPAM
Datamodels: Predicting Predictions with Training Data
Presenter
- Aleksander Madry
March 7, 2022
SLMath
David Ha - Collective Intelligence for Deep Learning: A Survey of Recent Developments
Presenter
- David Ha
February 17, 2022
IPAM
