Videos

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Contrastive Learning, multi-view redundancy, and linear models Thumbnail

Contrastive Learning, multi-view redundancy, and linear models

Presenter
  • Daniel Hsu
April 12, 2021
IMSI

A Rank-Minimization Approach to Learning Dynamical Systems from Frequency Response Data

Presenter
  • Pawan Goyal
February 20, 2020
ICERM
Innovating machine learning with near-term quantum computing Thumbnail

Innovating machine learning with near-term quantum computing

Presenter
  • Maria Schuld
November 20, 2019
IPAM
Deep Learning: Triangle Machine Learning Day - Biomedical Image Understanding and EHRs at LifeOmic: Harnessing the Power of the Cloud, Matthew Phillips Thumbnail

Deep Learning: Triangle Machine Learning Day - Biomedical Image Understanding and EHRs at LifeOmic: Harnessing the Power of the Cloud, Matthew Phillips

September 20, 2019
SAMSI

Learning with Little Data

Presenter
  • Rich Zemel
February 20, 2019
ICERM

Random monomial ideals

Presenter
  • Lily Silverstein
September 20, 2018
ICERM
ALAMO: Machine learning from data and first principles Thumbnail

ALAMO: Machine learning from data and first principles

Presenter
  • Nick Sahinidis
October 6, 2017
IPAM
Supervised Machine Learning Thumbnail

Supervised Machine Learning

Presenter
  • Klaus-Robert Müller
September 13, 2016
IPAM
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
Nathan Wiebe - Quantum Machine Learning - IPAM at UCLA Thumbnail

Nathan Wiebe - Quantum Machine Learning - IPAM at UCLA

Presenter
  • Nathan Wiebe
October 16, 2023
IPAM

Using Trained Machine Learning Predictors in Gurobi

Presenter
  • Tobias Achterberg
April 27, 2023
ICERM
Root Number Correlation Bias of Fourier Coefficients of Modular Forms Thumbnail

Root Number Correlation Bias of Fourier Coefficients of Modular Forms

Presenter
  • Nina Zubrilina
April 20, 2023
IAS