Videos

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Designing protein models with machine learning and experimental data Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

Physical constraints in machine learning models of electronic and atomic interactions

Presenter
  • Boris Kozinsky
March 26, 2024
IMSI

Perspectives and Practice for Scientific Machine Learning in Process Systems: Dynamic Surrogacy and Causal Discovery

Presenter
  • Jordan Jalving
March 24, 2024
ICERM

Physics Constrained Machine Learning for Scientific Computing

Presenter
  • Danielle Robinson
March 23, 2024
ICERM

Enforcing Structure in Scientific Machine Learning for Computational Decision Support & Digital Twins

Presenter
  • Karthik Duraisamy
March 23, 2024
ICERM
Efficient Invariant Embeddings for multisets, point sets, and graphs Thumbnail

Efficient Invariant Embeddings for multisets, point sets, and graphs

Presenter
  • Nadav Dym
December 13, 2023
IMSI
Nathan Wiebe - Quantum Machine Learning - IPAM at UCLA Thumbnail

Nathan Wiebe - Quantum Machine Learning - IPAM at UCLA

Presenter
  • Nathan Wiebe
October 16, 2023
IPAM
Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors"

Presenter
  • Jeremias Sulam
August 30, 2023
SLMath
Introductory Workshop: Algorithms, Fairness, and Equity: "Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI"

Presenter
  • Donald Martin
August 30, 2023
SLMath