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
Simulating the Universe with Deep Learning Thumbnail

Simulating the Universe with Deep Learning

Presenter
  • Shirley Ho
October 14, 2019
IPAM
Choiceless Polynomial Time Thumbnail

Choiceless Polynomial Time

Presenter
  • Ben Rossman
October 14, 2019
IAS
Rethinking Control Thumbnail

Rethinking Control

Presenter
  • Elad Hazan
October 2, 2019
IAS
Automating Science using Robot Scientists Thumbnail

Automating Science using Robot Scientists

Presenter
  • Ross King
September 25, 2019
IPAM
Special Guest Lecture: Attacking the Curse of Dimensionality, Martin Mohlenkamp Thumbnail

Special Guest Lecture: Attacking the Curse of Dimensionality, Martin Mohlenkamp

September 11, 2019
SAMSI
Statistical Relational Learning with Graph Neural Networks Thumbnail

Statistical Relational Learning with Graph Neural Networks

Presenter
  • Mathias Niepert
May 22, 2019
IPAM
PDE Approaches for Deep Learning Thumbnail

PDE Approaches for Deep Learning

Presenter
  • Stanley Osher
May 1, 2019
IPAM
Learning to Solve Inverse Problems in Imaging Thumbnail

Learning to Solve Inverse Problems in Imaging

Presenter
  • Rebecca Willett
April 30, 2019
IPAM
Metric learning for persistence-based summaries and application to graph classification Thumbnail

Metric learning for persistence-based summaries and application to graph classification

Presenter
  • Yusu Wang
April 29, 2019
IPAM
Learning Shape Templates using Structured Implicit Functions Thumbnail

Learning Shape Templates using Structured Implicit Functions

Presenter
  • Thomas Funkhouser
April 18, 2019
IPAM
Data-driven Editable 3D Content Creation Thumbnail

Data-driven Editable 3D Content Creation

Presenter
  • Niloy Mitra
April 15, 2019
IPAM