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
Choiceless Polynomial Time Thumbnail

Choiceless Polynomial Time

Presenter
  • Ben Rossman
October 14, 2019
IAS
Generalizing Hamiltonian Monte Carlo with Neural Networks Thumbnail

Generalizing Hamiltonian Monte Carlo with Neural Networks

Presenter
  • Jascha Sohl-Dickstein
September 26, 2019
IPAM
Manifold Learning for the Sciences Thumbnail

Manifold Learning for the Sciences

Presenter
  • Marina Meila
May 1, 2019
IPAM
Data-driven Editable 3D Content Creation Thumbnail

Data-driven Editable 3D Content Creation

Presenter
  • Niloy Mitra
April 15, 2019
IPAM
Discrete Curvature Functionals — Applications and Challenges Thumbnail

Discrete Curvature Functionals — Applications and Challenges

Presenter
  • Max Wardetzky
April 2, 2019
IPAM
Model-Based Processes for Real-Time Cyber-Physical Systems Testbeds Thumbnail

Model-Based Processes for Real-Time Cyber-Physical Systems Testbeds

Presenter
  • Jonathan Sprinkle
February 28, 2019
IPAM
Challenges and Opportunities in Autonomous Navigation Thumbnail

Challenges and Opportunities in Autonomous Navigation

Presenter
  • Jana Kosecka
February 25, 2019
IPAM
Introduction to the Siegel modular variety and its ordinary locus Thumbnail

Introduction to the Siegel modular variety and its ordinary locus

Presenter
  • Keerthi Pera
February 19, 2019
IPAM