Videos

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On safe and efficient human-robot interactions via multimodal intent modeling and reachability-based safety assurance Thumbnail

On safe and efficient human-robot interactions via multimodal intent modeling and reachability-based safety assurance

Presenter
  • Marco Pavone
October 29, 2020
IPAM
From connected and autonomous vehicles control to vehicular traffic control, a multi-scale perspective Thumbnail

From connected and autonomous vehicles control to vehicular traffic control, a multi-scale perspective

Presenter
  • Antonella Ferrara
October 28, 2020
IPAM
Arithmetic progressions and spectral structure Thumbnail

Arithmetic progressions and spectral structure

Presenter
  • Thomas Bloom
October 13, 2020
IAS
Representations of p-adic groups and applications Thumbnail

Representations of p-adic groups and applications

Presenter
  • Jessica Fintzen
October 8, 2020
IAS
An introduction to concentration of measure with applications to graph-based learning (Part 2) Thumbnail

An introduction to concentration of measure with applications to graph-based learning (Part 2)

Presenter
  • Jeff Calder
March 11, 2020
IPAM
An introduction to concentration of measure with applications to graph-based learning (Part 1) Thumbnail

An introduction to concentration of measure with applications to graph-based learning (Part 1)

Presenter
  • Jeff Calder
March 11, 2020
IPAM
Learning from Censored and Dependent Data Thumbnail

Learning from Censored and Dependent Data

Presenter
  • Constantinos Daskalakis
March 9, 2020
IAS
MIP* = RE Thumbnail

MIP* = RE

Presenter
  • Henry Yuen
February 3, 2020
IAS
Deep Learning for Medical Image Registration Thumbnail

Deep Learning for Medical Image Registration

Presenter
  • Marc Niethammer
January 31, 2020
IPAM
Covariant neural network architectures for learning physics Thumbnail

Covariant neural network architectures for learning physics

Presenter
  • Risi Kondor
November 18, 2019
IPAM
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning Thumbnail

Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning

Presenter
  • Michael Mahoney
October 14, 2019
IPAM
Choiceless Polynomial Time Thumbnail

Choiceless Polynomial Time

Presenter
  • Ben Rossman
October 14, 2019
IAS