Videos

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Vedran Dunjko - Exponential separations between classical and quantum learners - IPAM at UCLA Thumbnail

Vedran Dunjko - Exponential separations between classical and quantum learners - IPAM at UCLA

Presenter
  • Vedran Dunjko
October 19, 2023
IPAM
Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA Thumbnail

Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA

Presenter
  • Hsin-Yuan Huang
October 18, 2023
IPAM
Neuro-Causal Factor Analysis: Structure learning and identifiability Thumbnail

Neuro-Causal Factor Analysis: Structure learning and identifiability

Presenter
  • Alex Markham
October 10, 2023
IMSI
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
Murmurations of Arithmetic L-functions Thumbnail

Murmurations of Arithmetic L-functions

Presenter
  • Andrew Sutherland
April 24, 2023
IAS
On Complexity of Computing Bottleneck and Lexicographic Optimal Cycles in a Homology Class Thumbnail

On Complexity of Computing Bottleneck and Lexicographic Optimal Cycles in a Homology Class

Presenter
  • Erin Wolf-Chambers
March 21, 2023
IMSI
Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA Thumbnail

Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA

Presenter
  • Michele Ceriotti
January 11, 2023
IPAM
Ben Recht - Splitting the difference between deep and shallow solutions of inverse problems Thumbnail

Ben Recht - Splitting the difference between deep and shallow solutions of inverse problems

Presenter
  • Ben Recht
November 30, 2022
IPAM
George Barbastathis - On the use of machine learning for computational imaging - IPAM at UCLA Thumbnail

George Barbastathis - On the use of machine learning for computational imaging - IPAM at UCLA

Presenter
  • George Barbastathis
October 11, 2022
IPAM
Mark Tuckerman - Quantum time correlation functions in an open-chain path integral distribution Thumbnail

Mark Tuckerman - Quantum time correlation functions in an open-chain path integral distribution

Presenter
  • Mark Tuckerman
May 26, 2022
IPAM
Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT Thumbnail

Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT

Presenter
  • Marivi Fernandez-Serra
May 26, 2022
IPAM
Brenda Rubenstein - Extending the Reach of Quantum Monte Carlo Methods via Machine Learning Thumbnail

Brenda Rubenstein - Extending the Reach of Quantum Monte Carlo Methods via Machine Learning

Presenter
  • Brenda Rubenstein
May 26, 2022
IPAM