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Efficient Low-Dimensional Compression for Deep Overparameterized Learning and Fine-Tuning
Presenter
- Laura Balzano
October 8, 2025
IMSI
Wei Zhu - Structure-preserving machine learning and data-driven structure discovery - IPAM at UCLA
Presenter
- Wei Zhu
July 18, 2025
IPAM
A Galois theorem for machine learning: Functions on symmetric matrices and point clouds via lightweight invariant features
Presenter
- Soledad Villar
June 9, 2025
IMSI
A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems
Presenter
- Xiaochuan Tian
January 9, 2025
ICERM
Tropical Geometry Tools for Machine Learning and Phylogenomics
Presenter
- Ruriko Yoshida
October 23, 2024
ICERM
Physics-Informed Machine Learning of the thermodynamics and kinetics of point defects in alloys
Presenter
- Anjana Talapatra
May 16, 2024
IMSI
A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems
Presenter
- Xiaochuan Tian
May 15, 2024
IMSI
Designing protein models with machine learning and experimental data
Presenter
- Klara Bonneau
April 26, 2024
IMSI
Environment-adaptive machine learning potentials for atomistic simulations of materials under extreme conditions
Presenter
- Ngoc-Cuong Nguyen
April 9, 2024
IMSI
Learning Together: Towards foundation models for machine learning interatomic potentials with meta-learning
Presenter
- Alice Allen
April 8, 2024
IMSI
Physics-Inspired Machine Learning Methods: A Status Report on Predictive Chemistry
Presenter
- Teresa Head-Gordon
April 8, 2024
IMSI
Physical constraints in machine learning models of electronic and atomic interactions
Presenter
- Boris Kozinsky
March 26, 2024
IMSI