Videos

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Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA Thumbnail

Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA

Presenter
  • Michele Ceriotti
May 3, 2023
IPAM
Gabor Csányi - Machine learning potentials: from polynomials to message passing networks Thumbnail

Gabor Csányi - Machine learning potentials: from polynomials to message passing networks

Presenter
  • Gabor Csányi
April 17, 2023
IPAM
Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo Thumbnail

Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo

Presenter
  • Michael Scherbela
May 27, 2022
IPAM
Eran Rabani - Stochastic Density Functional Theory Thumbnail

Eran Rabani - Stochastic Density Functional Theory

Presenter
  • Eran Rabani
May 23, 2022
IPAM
Steps towards more human-like learning in machines Thumbnail

Steps towards more human-like learning in machines

Presenter
  • Josh Tenenbaum
April 16, 2020
IAS

New Algorithms for Similarity Search in High Dimensions

Presenter
  • Piotr Indyk
September 15, 2016
IMA
Verification and Validation for Trustworthy Scientific Machine Learning Thumbnail

Verification and Validation for Trustworthy Scientific Machine Learning

Presenter
  • Lorena A.
March 4, 2025
IMSI
Raghu Meka - Complexity of Sparse Linear Regression - IPAM at UCLA Thumbnail

Raghu Meka - Complexity of Sparse Linear Regression - IPAM at UCLA

Presenter
  • Raghu Meka
March 1, 2024
IPAM
Abhineet Agarwal - Understanding and overcoming the statistical limitations of decision trees Thumbnail

Abhineet Agarwal - Understanding and overcoming the statistical limitations of decision trees

Presenter
  • Abhineet Agarwal
February 27, 2024
IPAM
Ankur Moitra - Learning from Dynamics - IPAM at UCLA Thumbnail

Ankur Moitra - Learning from Dynamics - IPAM at UCLA

Presenter
  • Ankur Moitra
February 26, 2024
IPAM
Omer Reingold - Algorithmic Fairness, Loss Minimization and Outcome Indistinguishability Thumbnail

Omer Reingold - Algorithmic Fairness, Loss Minimization and Outcome Indistinguishability

Presenter
  • Omer Reingold
February 26, 2024
IPAM
Randomization, Neutrality, and Fairness: "Fairness in Algorithmic Decisions via Social Choice" Thumbnail

Randomization, Neutrality, and Fairness: "Fairness in Algorithmic Decisions via Social Choice"

Presenter
  • Nisarg Shah
October 24, 2023
SLMath