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Sparse-optimization to discover dynamical systems models from data
Presenter
- Niall Mangan
March 19, 2025
IMSI
Leena Vankadara - Scaling Insights from Infinite-Width Theory for Next Gen Architecture & Learning
Presenter
- Leena Vankadara
October 18, 2024
IPAM
Shaowei Lin - Singular Learning, Relative Information and the Dual Numbers - IPAM at UCLA
Presenter
- Shaowei Lin
October 16, 2024
IPAM
Modeling rare events. Discovering reaction pathways, slow variables, and committor probabilities with machine learning
Presenter
- Christophe Chipot
April 26, 2024
IMSI
Graph learning models: theoretical understanding, limitations and enhancements
Presenter
- Yusu Wang
April 25, 2024
IMSI
Bayesian and Equivariant Force Fields for the Description of Metals in their Bulk, Surface, and Nano-Scale Forms
Presenter
- Cameron Owen
April 10, 2024
IMSI
Matrix Function Networks for learning non local quantum effects.
Presenter
- Ilyes Batatia
April 8, 2024
IMSI
Harnessing The Properties of Equivariant Neural Networks To Understand And Design Atomic Systems
Presenter
- Tess Smidt
March 29, 2024
IMSI
Quasi Real-Time Simulations with Neural Networks for Industrial Applications
Presenter
- Yu-Chin Chan
March 23, 2024
ICERM
Overview of classical ML: classification methods and decision trees
Presenter
- Cong Ma
March 11, 2024
IMSI
Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA
Presenter
- Hsin-Yuan Huang
October 18, 2023
IPAM