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Communication-Avoiding Algorithms for Linear Algebra, Machine Learning, and Beyond
Presenter
- James Demmel
October 18, 2018
IPAM
Huan Lei - Energy-stable machine-learning model of non-Newtonian hydrodynamics w/ molecular fidelity
Presenter
- Huan Lei
October 8, 2025
IPAM
Wei Zhu - Structure-preserving machine learning and data-driven structure discovery - IPAM at UCLA
Presenter
- Wei Zhu
July 18, 2025
IPAM
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