Videos

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Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA Thumbnail

Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA

Presenter
  • Juan Carrasquilla
October 16, 2023
IPAM

Multifidelity Deep Operator Networks

Presenter
  • Amanda Howard
June 7, 2023
ICERM
Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning Thumbnail

Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning

Presenter
  • Samuel Blau
May 1, 2023
IPAM
Hamsa Bastani - Decision-Aware Learning for Global Health Supply Chains - IPAM at UCLA Thumbnail

Hamsa Bastani - Decision-Aware Learning for Global Health Supply Chains - IPAM at UCLA

Presenter
  • Hamsa Bastani
March 1, 2023
IPAM
Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA Thumbnail

Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA

Presenter
  • Xavier Bresson
February 27, 2023
IPAM
Jutta Rogal - Machine learning collective variables for sampling of structural transformations Thumbnail

Jutta Rogal - Machine learning collective variables for sampling of structural transformations

Presenter
  • Jutta Rogal
January 26, 2023
IPAM
Mohammed AlQuraishi - OpenFold: Lessons and insights from rebuilding and retraining AlphaFold2 Thumbnail

Mohammed AlQuraishi - OpenFold: Lessons and insights from rebuilding and retraining AlphaFold2

Presenter
  • Mohammed AlQuraishi
January 23, 2023
IPAM
Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA Thumbnail

Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA

Presenter
  • Osbert Bastani
January 10, 2023
IPAM
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