Videos

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Systemic risk: from network theory to machine learning Thumbnail

Systemic risk: from network theory to machine learning

Presenter
  • Paolo Barucca
April 4, 2022
IMSI

Characterizing Transitions in Developmental Biology using Topological Machine Learning

Presenter
  • Dhananjay Bhaskar
December 17, 2021
ICERM

ML Without Unnecessary Harm: Blind Pareto Fairness and Subgroup Robustness

Presenter
  • Guillermo Sapiro
July 6, 2021
ICERM

Graph embeddings in symmetric spaces

Presenter
  • Anna Wienhard
June 14, 2021
ICERM
Efficient quantum algorithms for variational state preparation Thumbnail

Efficient quantum algorithms for variational state preparation

Presenter
  • Giuseppe Carleo
May 28, 2021
IMSI

Breaking into a Deep Learning box

Presenter
  • Ivan Tyukin
April 10, 2021
ICERM
Differential Operators for Generating Structured Adversarial Examples Thumbnail

Differential Operators for Generating Structured Adversarial Examples

Presenter
  • Hossein Mobahi
April 22, 2020
IPAM
Simulating the Universe with Deep Learning Thumbnail

Simulating the Universe with Deep Learning

Presenter
  • Shirley Ho
October 14, 2019
IPAM
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning Thumbnail

Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning

Presenter
  • Michael Mahoney
October 14, 2019
IPAM
Bridging Deep Neural Networks and Differential Equations for Image Analysis and Beyond Thumbnail

Bridging Deep Neural Networks and Differential Equations for Image Analysis and Beyond

Presenter
  • Bin Dong
May 1, 2019
IPAM

Neural net word embeddings: What was old is new again

Presenter
  • Jeremy Bellay
October 6, 2017
IMA
Navigating colloidal design space with machine learning Thumbnail

Navigating colloidal design space with machine learning

Presenter
  • Matthew Spellings
December 7, 2016
IPAM