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Recent Developments in RandNLA: Random Matrix Theory for Modern Machine Learning?
Presenter
- Michael Mahoney
February 2, 2026
ICERM
Hybrid twins for materials processing: combining physics-based simulations and data-driven models
Presenter
- Benjamin Klusemann
December 3, 2025
IMSI
Annabella Selloni - Chemistry of Aqueous Oxide Interfaces from Machine Learning Molecular Dynamics
Presenter
- Annabella Selloni
October 30, 2025
IPAM
A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information
Presenter
- Andrew Brown
May 22, 2025
IMSI
Accelerated predictions of the sublimation enthalpy of organic materials with machine learning
Presenter
- Yifan Liu
April 21, 2025
IMSI
Bridging Scales in Materials Modeling With Occam-Shaved Machine Learning
Presenter
- Luca Ghiringhelli
March 29, 2024
IMSI
Semi-Supervised Learning with the p-Laplacian in Geometric Methods in Machine Learning and Data Analysis
Presenter
- Nadejda Drenska
March 12, 2024
ICERM
Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA
Presenter
- Ryan Sweke
October 17, 2023
IPAM
Extending Generalization Theory to Address Phenomena in Contemporary Machine Learning
Presenter
- Shay Moran
October 17, 2023
IAS