Videos

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Can we design deep learning models that are inherently interpretable?

Presenter
  • Cynthia Rudin
April 11, 2021
ICERM
Tensor Networks for Machine Learning and Applications Thumbnail

Tensor Networks for Machine Learning and Applications

Presenter
  • Miles Stoudenmire
March 31, 2021
IPAM
What is a tensor? (Part 2/2) Thumbnail

What is a tensor? (Part 2/2)

Presenter
  • Lek-Heng Lim
March 17, 2021
IPAM
What is a tensor? (Part 1/2) Thumbnail

What is a tensor? (Part 1/2)

Presenter
  • Lek-Heng Lim
March 11, 2021
IPAM
Reasoning on Natural Inputs Thumbnail

Reasoning on Natural Inputs

Presenter
  • Petar Velickovic
February 23, 2021
IPAM
The Transformer Network for the Traveling Salesman Problem Thumbnail

The Transformer Network for the Traveling Salesman Problem

Presenter
  • Xavier Bresson
February 22, 2021
IPAM
Learning Geometry Thumbnail

Learning Geometry

Presenter
  • Ron Kimmel
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
Blending physics and machine learning to improve climate projections Thumbnail

Blending physics and machine learning to improve climate projections

Presenter
  • Laure Zanna
October 9, 2020
IMSI
Private AI: Machine Learning on Encrypted Data Thumbnail

Private AI: Machine Learning on Encrypted Data

Presenter
  • Kristin Lauter
October 7, 2020
IMSI
Learning with Few Labeled Data Thumbnail

Learning with Few Labeled Data

Presenter
  • Pratik Chaudhari
October 6, 2020
IPAM
Gene expression recovery in single cell transcriptomic data Thumbnail

Gene expression recovery in single cell transcriptomic data

Presenter
  • Nancy Zhang
September 10, 2020
IAS