Videos

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Fundamentals of Artificial Intelligence and Machine Learning (Part 1/2) Thumbnail

Fundamentals of Artificial Intelligence and Machine Learning (Part 1/2)

Presenter
  • Frank Noe
September 15, 2020
IPAM
Evidence of local entropy optimization in machine learning, physics and neuroscience Thumbnail

Evidence of local entropy optimization in machine learning, physics and neuroscience

Presenter
  • Riccardo Zecchina
November 20, 2019
IPAM
Multiscale analysis of accelerated gradient methods in machine learning Thumbnail

Multiscale analysis of accelerated gradient methods in machine learning

Presenter
  • Mohammad Farazmand
October 28, 2019
IPAM
Robustness and Strategic Concerns in Machine Learning Thumbnail

Robustness and Strategic Concerns in Machine Learning

Presenter
  • Yu Cheng
September 24, 2019
IAS
The interplay between physically motivated simulations and machine learning Thumbnail

The interplay between physically motivated simulations and machine learning

Presenter
  • Kyle Cranmer
September 9, 2019
IPAM
PMED Transition Workshop: Advances in PMED and Machine Learning Thumbnail

PMED Transition Workshop: Advances in PMED and Machine Learning

May 21, 2019
SAMSI
Some things you need to know about machine learning but didn't know whom to ask (the grad school version) Thumbnail

Some things you need to know about machine learning but didn't know whom to ask (the grad school version)

Presenter
  • Sanjeev Arora
February 5, 2018
IAS
Everything you wanted to know about machine learning but didn't know whom to ask Thumbnail

Everything you wanted to know about machine learning but didn't know whom to ask

Presenter
  • Sanjeev Arora
November 27, 2017
IAS

Gaussian processes: A hands-on tutorial

Presenter
  • Paris Perdikaris
June 5, 2017
ICERM
Collective Variables in Quantum Mechanics and Machine Learning Thumbnail

Collective Variables in Quantum Mechanics and Machine Learning

Presenter
  • Alexandre Tkatchenko
November 14, 2016
IPAM
Non-commutative harmonic analysis in machine learning Thumbnail

Non-commutative harmonic analysis in machine learning

Presenter
  • Risi Kondor
July 14, 2008
SLMath
Graph learning models: theoretical understanding, limitations and enhancements Thumbnail

Graph learning models: theoretical understanding, limitations and enhancements

Presenter
  • Yusu Wang
April 25, 2024
IMSI