Videos

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Interpretability: of what, for whom, why, and how? Thumbnail

Interpretability: of what, for whom, why, and how?

Presenter
  • Zachary Lipton
October 17, 2019
IPAM
Recent Developments In Microlocal Analysis - Systoles and Lagrangians of random complex projective hypersurfaces Thumbnail

Recent Developments In Microlocal Analysis - Systoles and Lagrangians of random complex projective hypersurfaces

Presenter
  • Damien Gayet
October 17, 2019
MSRI
Simulation-based inference, interpretability, and experimental design Thumbnail

Simulation-based inference, interpretability, and experimental design

Presenter
  • Kyle Cranmer
October 17, 2019
IPAM
Recent Developments In Microlocal Analysis - Recent progress on the Fried conjecture Thumbnail

Recent Developments In Microlocal Analysis - Recent progress on the Fried conjecture

Presenter
  • Nguyen Viet Dang
October 17, 2019
MSRI
Density functionals from machine learning Thumbnail

Density functionals from machine learning

Presenter
  • Kieron Burke
October 17, 2019
IPAM
Quantum Machine Learning Thumbnail

Quantum Machine Learning

Presenter
  • Anatole von Lilienfeld
October 17, 2019
IPAM
Recent Developments In Microlocal Analysis - Inverse problems for real principal type operators Thumbnail

Recent Developments In Microlocal Analysis - Inverse problems for real principal type operators

Presenter
  • Mikko Salo
October 17, 2019
MSRI
Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation Thumbnail

Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation

Presenter
  • Sergei Kalinin
October 17, 2019
IPAM
Learning Representations Using Causal Invariance Thumbnail

Learning Representations Using Causal Invariance

Presenter
  • Leon Bottou
October 17, 2019
IAS
Understanding the inductive bias due to dropout Thumbnail

Understanding the inductive bias due to dropout

Presenter
  • Raman Arora
October 17, 2019
IAS
Interpreting Deep Neural Networks Thumbnail

Interpreting Deep Neural Networks

Presenter
  • Bin Yu
October 17, 2019
IAS
Designing Explicit Regularizers for Deep Models Thumbnail

Designing Explicit Regularizers for Deep Models

Presenter
  • Tengyu Ma
October 17, 2019
IAS