Videos

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Discrete Morse-based graph reconstruction and data analysis Thumbnail

Discrete Morse-based graph reconstruction and data analysis

Presenter
  • Yusu Wang
April 26, 2021
IMSI

Can we design deep learning models that are inherently interpretable?

Presenter
  • Cynthia Rudin
April 11, 2021
ICERM
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Thumbnail

Exact Combinatorial Optimization with Graph Convolutional Neural Networks

Presenter
  • Laurent Charlin
February 24, 2021
IPAM
Quarks, hierarchical clustering, and combinatorial optimization Thumbnail

Quarks, hierarchical clustering, and combinatorial optimization

Presenter
  • Kyle Cranmer
February 22, 2021
IPAM
Fair and Interpretable Decision Rules for Binary Classification Thumbnail

Fair and Interpretable Decision Rules for Binary Classification

Presenter
  • Oktay Gunluk
February 22, 2021
IPAM
Towards Assurance-based Learning-enabled Cyber-Physical Systems Thumbnail

Towards Assurance-based Learning-enabled Cyber-Physical Systems

Presenter
  • Gabor Karsai
October 30, 2020
IPAM
Abstractions for programming distributed robotic applications Thumbnail

Abstractions for programming distributed robotic applications

Presenter
  • Sayan Mitra
October 30, 2020
IPAM
(Self-)Supervised Learning for Perception Tasks in Automated Driving Thumbnail

(Self-)Supervised Learning for Perception Tasks in Automated Driving

Presenter
  • Wolfram Burgard
October 7, 2020
IPAM
Statistical modeling and missing data Thumbnail

Statistical modeling and missing data

Presenter
  • Rod Little
September 8, 2020
IAS
Multi-Output Prediction: Theory and Practice Thumbnail

Multi-Output Prediction: Theory and Practice

Presenter
  • Inderjit Dhillon
August 27, 2020
IAS
Priors for Semantic Variables Thumbnail

Priors for Semantic Variables

Presenter
  • Yoshua Bengio
July 23, 2020
IAS
The Non-Stochastic Control Problem Thumbnail

The Non-Stochastic Control Problem

Presenter
  • Elad Hazan
May 18, 2020
IAS