Videos

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Establishing trust in decisions made from data: Physics-informed machine-learning models with computable generalization bounds Thumbnail

Establishing trust in decisions made from data: Physics-informed machine-learning models with computable generalization bounds

Presenter
  • Benjamin Peherstorfer
March 2, 2022
IMSI
Secure Learning in Adversarial Environments Thumbnail

Secure Learning in Adversarial Environments

Presenter
  • Bo Li
October 6, 2020
IPAM
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 - Machine Learning from De-IdentifiedCoded Electronic Health Records (EHRs), David Page Thumbnail

Deep Learning: Triangle Machine Learning Day - Machine Learning from De-IdentifiedCoded Electronic Health Records (EHRs), David Page

September 20, 2019
SAMSI
Metric learning for persistence-based summaries and application to graph classification Thumbnail

Metric learning for persistence-based summaries and application to graph classification

Presenter
  • Yusu Wang
April 29, 2019
IPAM
Background reduction in searches for gravitational-wave signals from supernovae: A machine learning approach Thumbnail

Background reduction in searches for gravitational-wave signals from supernovae: A machine learning approach

Presenter
  • Marco Cavaglia
February 1, 2019
IPAM

Predictive CFD- Past, Present, and Future

Presenter
  • Antony Jameson
August 23, 2018
ICERM
A meta-machine-learning method for identifying effective descriptors of materials properties Thumbnail

A meta-machine-learning method for identifying effective descriptors of materials properties

Presenter
  • Luca Ghiringhelli
October 4, 2017
IPAM

Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations

Presenter
  • Maziar Raissi
June 7, 2017
ICERM

Thermostatic Controls for Noisy Gradient Systems and Applications to Machine Learning

Presenter
  • Ben Leimkuhler
July 30, 2015
ICERM
The Entropic Barrier: A Simple and Optimal Universal Self-Concordant Barrier Thumbnail

The Entropic Barrier: A Simple and Optimal Universal Self-Concordant Barrier

Presenter
  • Sébastien Bubeck
February 25, 2015
IMA
Huan Lei - Energy-stable machine-learning model of non-Newtonian hydrodynamics w/ molecular fidelity Thumbnail

Huan Lei - Energy-stable machine-learning model of non-Newtonian hydrodynamics w/ molecular fidelity

Presenter
  • Huan Lei
October 8, 2025
IPAM