Videos

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Combining Stochastic Parameterized Reduced Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations Thumbnail

Combining Stochastic Parameterized Reduced Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations

Presenter
  • Nan Chen
October 31, 2022
IMSI
Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA Thumbnail

Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA

Presenter
  • Demetri Psaltis
October 13, 2022
IPAM
Leslie Vogt-Maranto - Molecular Electron Densities via Machine Learning Thumbnail

Leslie Vogt-Maranto - Molecular Electron Densities via Machine Learning

Presenter
  • Leslie Vogt-Maranto
May 24, 2022
IPAM
Datamodels: Predicting Predictions with Training Data Thumbnail

Datamodels: Predicting Predictions with Training Data

Presenter
  • Aleksander Madry
March 7, 2022
SLMath
David Ha - Collective Intelligence for Deep Learning: A Survey of Recent Developments Thumbnail

David Ha - Collective Intelligence for Deep Learning: A Survey of Recent Developments

Presenter
  • David Ha
February 17, 2022
IPAM
Lisa Lee - Learning to Explore with Scalable Supervision Thumbnail

Lisa Lee - Learning to Explore with Scalable Supervision

Presenter
  • Lisa Lee
February 16, 2022
IPAM

ML Without Unnecessary Harm: Blind Pareto Fairness and Subgroup Robustness

Presenter
  • Guillermo Sapiro
July 6, 2021
ICERM
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis Thumbnail

Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis

Presenter
  • Rose Yu
May 19, 2021
IPAM
Understanding, Interpreting and Design Neural Network Models Through Tensor Representations Thumbnail

Understanding, Interpreting and Design Neural Network Models Through Tensor Representations

Presenter
  • Furong Huang
May 18, 2021
IPAM

Reliability, Robustness and Minipatch Learning

Presenter
  • Genevera Allen
April 11, 2021
ICERM
Spline-based separable expansions for approximation, regression and classification Thumbnail

Spline-based separable expansions for approximation, regression and classification

Presenter
  • Nithin Govindarajan
April 1, 2021
IPAM
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Thumbnail

Exact Combinatorial Optimization with Graph Convolutional Neural Networks

Presenter
  • Laurent Charlin
February 24, 2021
IPAM