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Sarah Haigh - Probing atomic behaviour in liquids with STEM : opportunities for machine learning
Presenter
- Sarah Haigh
November 30, 2022
IPAM
Robust and Scalable Learning of Gaussian Mixture Models
Presenter
- Kisung You
December 17, 2021
ICERM
From Dynamics to Algorithms for Optimization and Sampling
Presenter
- Andre Wibisono
June 24, 2024
ICERM
Roman Orus - News on tensor Networks for machine learning and quantum computing simulation
Presenter
- Roman Orus
February 5, 2024
IPAM
Alexandre Tkatchenko - Fully Quantum (Bio)Molecular Simulations: Dream or Reality? - IPAM at UCLA
Presenter
- Alexandre Tkatchenko
January 25, 2023
IPAM
Patrick Riley - Symbolic Regression for Discovery of a DFT Functional - IPAM at UCLA
Presenter
- Patrick Riley
January 23, 2023
IPAM
Cecelia Clementi - Designing molecular models with machine learning and experimental data
Presenter
- Cecelia Clementi
January 11, 2023
IPAM
Accelerating Scientific Discovery through Interpretable Machine Learning and Intelligent Experimentation
Presenter
- Peter Frazier
October 16, 2019
IPAM
Large group discussion on What have we learned about manifold learning
Presenter
- Partha Niyogi
October 27, 2008
IMA