Videos

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How to assess scientific machine learning models? Prediction errors and predictive uncertainty quantification Thumbnail

How to assess scientific machine learning models? Prediction errors and predictive uncertainty quantification

Presenter
  • Matthias Rupp
November 21, 2019
IPAM
Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation Thumbnail

Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation

Presenter
  • Sergei Kalinin
October 17, 2019
IPAM
Molecular design blueprints: materials and catalysts from new simulation and machine learning tools Thumbnail

Molecular design blueprints: materials and catalysts from new simulation and machine learning tools

Presenter
  • Heather Kulik
October 15, 2019
IPAM

Benjamin Sanderse - Structure-preserving SciML for discovering ODEs and SDEs in fluid flows

April 17, 2029
IPAM
Nikos Tsilivis - The Price of Implicit Bias in Robust ML - IPAM at UCLA Thumbnail

Nikos Tsilivis - The Price of Implicit Bias in Robust ML - IPAM at UCLA

Presenter
  • Nikos Tsilivis
October 14, 2024
IPAM
Homotopy Continuation Techniques for Optimization in Variational Inference Thumbnail

Homotopy Continuation Techniques for Optimization in Variational Inference

Presenter
  • Emma Cobian
December 15, 2023
IMSI
Yihui Quek - Signal and noise: learning with random quantum circuits and other agents of chaos Thumbnail

Yihui Quek - Signal and noise: learning with random quantum circuits and other agents of chaos

Presenter
  • Yihui Quek
October 16, 2023
IPAM

The unknotting number and reinforcement learning

Presenter
  • András Juhász
May 22, 2023
ICERM

Reliability, Robustness and Minipatch Learning

Presenter
  • Genevera Allen
April 11, 2021
ICERM
Scaling Optimal Transport for High dimensional Learning Thumbnail

Scaling Optimal Transport for High dimensional Learning

Presenter
  • Gabriel Peyré
May 4, 2020
SLMath
Connectome-based modeling of real world clinical outcomes in addictions Thumbnail

Connectome-based modeling of real world clinical outcomes in addictions

Presenter
  • Sarah Yip
February 19, 2020
IPAM
The Here-to-Stay Roles of Big Data and Machine Learning Thumbnail

The Here-to-Stay Roles of Big Data and Machine Learning

Presenter
  • Tanya Beder
April 27, 2017
IPAM