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Leena Vankadara - Scaling Insights from Infinite-Width Theory for Next Gen Architecture & Learning
Presenter
- Leena Vankadara
October 18, 2024
IPAM
Physics-Informed Machine Learning of the thermodynamics and kinetics of point defects in alloys
Presenter
- Anjana Talapatra
May 16, 2024
IMSI
FedCBO: Reaching Group Consensus in Clustered Federated Learning and Robustness to Backdoor Adversarial Attacks.
Presenter
- Nicolas Garcia Trillos
May 10, 2024
ICERM
Designing protein models with machine learning and experimental data
Presenter
- Klara Bonneau
April 26, 2024
IMSI
Physical constraints in machine learning models of electronic and atomic interactions
Presenter
- Boris Kozinsky
March 26, 2024
IMSI
Plenary Talk: Mathematics in Data Science: Advancing Scientific Discovery
Presenter
- Rebecca Willett
June 8, 2023
IMSI
Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA
Presenter
- Pascal Van Hentenryck
March 1, 2023
IPAM
Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy
Presenter
- Rama Vasudevan
November 29, 2022
IPAM
Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo
Presenter
- Michael Scherbela
May 27, 2022
IPAM
Matthew Foulkes - Approximating Many-Electron Wave Functions using Neural Networks
Presenter
- Matthew Foulkes
May 26, 2022
IPAM