Videos

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Large-scale Graph Representation Learning Thumbnail

Large-scale Graph Representation Learning

Presenter
  • Jure Leskovec
February 7, 2018
IPAM

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 Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

Accelerating Scientific Discovery through Interpretable Machine Learning and Intelligent Experimentation

Presenter
  • Peter Frazier
October 16, 2019
IPAM
Some Recent Developments in Large-Scale Convex Optimization Thumbnail

Some Recent Developments in Large-Scale Convex Optimization

Presenter
  • Niao He
February 24, 2015
IMA
Large group discussion on What have we learned about manifold learning Thumbnail

Large group discussion on What have we learned about manifold learning

Presenter
  • Partha Niyogi
October 27, 2008
IMA
A Theory of Generalized Boosting Thumbnail

A Theory of Generalized Boosting

Presenter
  • Nataly Brukhim
March 4, 2025
IAS
Shaowei Lin - Singular Learning, Relative Information and the Dual Numbers - IPAM at UCLA Thumbnail

Shaowei Lin - Singular Learning, Relative Information and the Dual Numbers - IPAM at UCLA

Presenter
  • Shaowei Lin
October 16, 2024
IPAM
Scalable Machine Learning for Predicting the Electronic Structure of Matter Thumbnail

Scalable Machine Learning for Predicting the Electronic Structure of Matter

Presenter
  • Attila Cangi
March 25, 2024
IMSI