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Yonina Eldar - Model Based Deep Learning with Application to Super Resolution - IPAM at UCLA
Presenter
- Yonina Eldar
October 27, 2022
IPAM
Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA
Presenter
- Hsin-Yuan Huang
October 18, 2023
IPAM
Vidya Muthukumar - Comparison and transfer between tasks in overparameterized learning
Presenter
- Vidya Muthukumar
October 15, 2024
IPAM
Craig Plaisance - Modeling Electrocatalysis Without the Pain: Past, Present, and Future
Presenter
- Craig Plaisance
October 6, 2025
IPAM
Tom Beucler - Artificial Intelligence Pathways from Weather to Climate - IPAM at UCLA
Presenter
- Tom Beucler
February 2, 2026
IPAM
Misha Belkin - Emergence and grokking in "simple" architectures - IPAM at UCLA
Presenter
- Misha Belkin
October 18, 2024
IPAM
Nikos Tsilivis - The Price of Implicit Bias in Robust ML - IPAM at UCLA
Presenter
- Nikos Tsilivis
October 14, 2024
IPAM
Sandra Van Aert - 3D atomic resolution through dose-efficient fusion of image & analytical technique
Presenter
- Sandra van Aert
October 26, 2022
IPAM
Boris Kozinsky - Uncertainty-aware machine learning models of many-body atomic interactions
Presenter
- Boris Kozinsky
April 17, 2023
IPAM
Soledad Villar - Introduction to equivariant machine learning - IPAM at UCLA
Presenter
- Soledad Villar
October 27, 2022
IPAM
Carlos Bravo Prieto - Understanding quantum machine learning also requires rethinking generalization
Presenter
- Carlos Prieto
October 19, 2023
IPAM
Srinivasan Arunachalam - Overview of learning structured quantum states - IPAM at UCLA
Presenter
- Srinivasan Arunachalam
October 18, 2023
IPAM