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Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA
Presenter
- Paul Grigas
March 3, 2023
IPAM
Tias Guns - Prediction + Optimisation: without and with decision-focused learning - IPAM at UCLA
Presenter
- Tias Guns
March 2, 2023
IPAM
Bartolomeo Stellato - Learning for Decision-Making Under Uncertainty - IPAM at UCLA
Presenter
- Bartolomeo Stellato
March 1, 2023
IPAM
Priya Donti - Optimization-in-the-loop AI for energy and climate - IPAM at UCLA
Presenter
- Priya Donti
February 28, 2023
IPAM
Anatole von Lilienfeld - Go EAST, young scientist - First principles view on chemical compound space
Presenter
- Anatole von Lilienfeld
January 27, 2023
IPAM
Rafael Gomez Bombarelli - End-to-end learning and auto-differentiation: forces, uncertainties, etc.
Presenter
- Rafael Gomez-Bombarelli
January 24, 2023
IPAM
Cecelia Clementi - Coarse-graining classical and quantum systems - IPAM at UCLA
Presenter
- Cecelia Clementi
January 23, 2023
IPAM
Bin Yu - Interpreting Deep Neural Networks towards Trustworthiness - IPAM at UCLA
Presenter
- Bin Yu
January 9, 2023
IPAM
Paul Hand - Signal Recovery with Generative Priors - IPAM at UCLA
Presenter
- Paul Hand
November 29, 2022
IPAM
Sonya Hanson - Pose estimation, temperature, noise, and biological temperature sensors via cryo-EM
Presenter
- Sonya Hanson
November 17, 2022
IPAM
Serena Yeung - Computer Vision for Segmenting & Analyzing Subcellular Components in CE Tomography
Presenter
- Serena Yeung
November 15, 2022
IPAM
Alberto Bartesaghi - Imaging biomolecules & high-resolution single-particle cryo-electron microscopy
Presenter
- Alberto Bartesaghi
October 13, 2022
IPAM