Videos

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Introduction to Interpretable Machine Learning II Thumbnail

Introduction to Interpretable Machine Learning II

Presenter
  • Cynthia Rudin
May 24, 2022
IAS
Shiwei Zhang - Auxiliary-field methods for quantum materials - IPAM at UCLA Thumbnail

Shiwei Zhang - Auxiliary-field methods for quantum materials - IPAM at UCLA

Presenter
  • Shiwei Zhang
May 23, 2022
IPAM
Eran Rabani - Stochastic Density Functional Theory Thumbnail

Eran Rabani - Stochastic Density Functional Theory

Presenter
  • Eran Rabani
May 23, 2022
IPAM
Jonathan Weare - A fast Jacobi iteration with repeated random sparsification Thumbnail

Jonathan Weare - A fast Jacobi iteration with repeated random sparsification

Presenter
  • Jonathan Weare
May 23, 2022
IPAM
Introduction to Interpretable Machine Learning Thumbnail

Introduction to Interpretable Machine Learning

Presenter
  • Cynthia Rudin
May 23, 2022
IAS

Knot theory and machine learning

Presenter
  • András Juhász
April 21, 2022
ICERM

Intro to Machine Learning

Presenter
  • Maurizio Parton
April 20, 2022
ICERM
Eun-Ah Kim - Machine Learning for Quantum Simulation - IPAM at UCLA Thumbnail

Eun-Ah Kim - Machine Learning for Quantum Simulation - IPAM at UCLA

Presenter
  • Eun-Ah Kim
April 15, 2022
IPAM
What is Machine Learning Good For? Thumbnail

What is Machine Learning Good For?

Presenter
  • Alex Davies
March 29, 2022
IAS
Knot Theory and Machine Learning Thumbnail

Knot Theory and Machine Learning

Presenter
  • Andras Juhasz
March 28, 2022
IAS
Stefan Chmiela - Machine learning basics: A speedrun Thumbnail

Stefan Chmiela - Machine learning basics: A speedrun

Presenter
  • Stefan Chmiela
March 10, 2022
IPAM
Fei Fang - Machine Learning and Game Theory for Social Impact Thumbnail

Fei Fang - Machine Learning and Game Theory for Social Impact

Presenter
  • Fei Fang
February 19, 2022
IPAM