Videos

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Interpreting Deep Neural Networks towards Trustworthiness Thumbnail

Interpreting Deep Neural Networks towards Trustworthiness

Presenter
  • Bin Yu
May 24, 2022
IAS
Efficient Robot Skill Learning via Grounded Simulation Learning, Imitation Learning from Observation, and Off-Policy Reinforcement Learning Thumbnail

Efficient Robot Skill Learning via Grounded Simulation Learning, Imitation Learning from Observation, and Off-Policy Reinforcement Learning

Presenter
  • Peter Stone
July 30, 2020
IAS
Scaling Optimal Transport for High dimensional Learning Thumbnail

Scaling Optimal Transport for High dimensional Learning

Presenter
  • Gabriel Peyré
May 4, 2020
SLMath
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
Scalable Algorithms in the Age of Big Data and Network Sciences Thumbnail

Scalable Algorithms in the Age of Big Data and Network Sciences

Presenter
  • Shang-Hua Teng
November 29, 2018
IPAM
Accurate and Scalable Processing of Big Data in Earth Observation Thumbnail

Accurate and Scalable Processing of Big Data in Earth Observation

Presenter
  • Begüm Demir
October 16, 2018
IPAM
Machine Learning for the Materials World Thumbnail

Machine Learning for the Materials World

Presenter
  • Efthimios (Tim) Kaxiras
December 5, 2016
IPAM

Systems-scale and integrative "omic" analysis of host-pathogen interactions in malaria

Presenter
  • Mark Styczynski
April 9, 2014
MBI
Graph-based and multiscale geometric methods for the analysis of data sets in high dimensions Thumbnail

Graph-based and multiscale geometric methods for the analysis of data sets in high dimensions

September 29, 2011
IMA
Recommender Systems for Fun and Profit Thumbnail

Recommender Systems for Fun and Profit

Presenter
  • Chris Volinsky
April 13, 2011
IMA
An overview of hybrid physics/machine learning modelling at Michelin: from rubber manufacturing simulation to real-time tire performance prediction opportunities Thumbnail

An overview of hybrid physics/machine learning modelling at Michelin: from rubber manufacturing simulation to real-time tire performance prediction opportunities

Presenter
  • Raphael Meunier
December 1, 2025
IMSI

Plethysm, symmetric chain decompositions and Erhart polynomials

Presenter
  • Mike Zabrocki
September 15, 2025
ICERM