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Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA
Presenter
- Paul Grigas
March 3, 2023
IPAM
Hamsa Bastani - Decision-Aware Learning for Global Health Supply Chains - IPAM at UCLA
Presenter
- Hamsa Bastani
March 1, 2023
IPAM
Jason Rute - Deep learning in interactive theorem proving - IPAM at UCLA
Presenter
- Jason Rute
February 16, 2023
IPAM
The Study of Wave Interactions: Where Beautiful Mathematical Ideas Come Together III
Presenter
- Gigliola Staffilani
January 27, 2023
IAS
Rose Yu - Incorporating Symmetry for Learning Spatiotemporal Dynamics - IPAM at UCLA
Presenter
- Rose Yu
January 26, 2023
IPAM
The Study of Wave Interactions: Where Beautiful Mathematical Ideas Come Together II
Presenter
- Gigliola Staffilani
January 26, 2023
IAS
Alexandre Tkatchenko - Fully Quantum (Bio)Molecular Simulations: Dream or Reality? - IPAM at UCLA
Presenter
- Alexandre Tkatchenko
January 25, 2023
IPAM
Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms
Presenter
- Stefan Chmiela
January 25, 2023
IPAM
Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
- Kyunghyun Cho
January 25, 2023
IPAM
The Study of Wave Interactions: Where Beautiful Mathematical Ideas Come Together
Presenter
- Gigliola Staffilani
January 25, 2023
IAS
Rafael Gomez Bombarelli - End-to-end learning and auto-differentiation: forces, uncertainties, etc.
Presenter
- Rafael Gomez-Bombarelli
January 24, 2023
IPAM
Payel Das - Design and Evaluation of Foundation Models and Generative AI in Molecular Space
Presenter
- Payel Das
January 23, 2023
IPAM