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Yongsoo Yang - Neural network-assisted atomic electron tomography - IPAM at UCLA
Presenter
- Yongsoo Yang
October 26, 2022
IPAM
Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA
Presenter
- Hsin-Yuan Huang
October 18, 2023
IPAM
Surbhi Goel - Beyond Worst-case Guarantees for Sequential Prediction: Robustness via Abstention
Presenter
- Surbhi Goel
March 1, 2024
IPAM
Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics
Presenter
- Steve Brunton
January 24, 2023
IPAM
Raghu Meka - Complexity of Sparse Linear Regression - IPAM at UCLA
Presenter
- Raghu Meka
March 1, 2024
IPAM
Lily Hu - What is "Race" in Algorithmic Discrimination on the Basis of Race? - IPAM at UCLA
Presenter
- Lily Hu
July 20, 2022
IPAM
Robin Kothari - Mean estimation when you have the source code; or, quantum Monte Carlo methods
Presenter
- Robin Kothari
October 2, 2023
IPAM
Yuandong Tian - AI-guided nonlinear optimization for real-world problems - IPAM at UCLA
February 28, 2023
IPAM
Yuandong Tian - AI-guided nonlinear optimization for real-world problems - IPAM at UCLA
Presenter
- Yuandong Tian
February 28, 2023
IPAM
Lin Lin - Interacting models for twisted bilayer graphene: quantum chemistry approach - IPAM at UCLA
Presenter
- Lin Lin
March 27, 2023
IPAM
CSDM - The Detectability Lemma and Quantum Gap Amplification
Presenter
- Itai Arad
October 5, 2009
IAS