Videos

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Towards a Theory of Representation Learning for Reinforcement Learning

Presenter
  • Alekh Agarwal
August 2, 2021
ICERM
Metric and manifold repair for missing data Thumbnail

Metric and manifold repair for missing data

Presenter
  • Anna Gilbert
September 11, 2020
IAS
Simulating the Universe with Deep Learning Thumbnail

Simulating the Universe with Deep Learning

Presenter
  • Shirley Ho
October 14, 2019
IPAM

Survival and coexistence for a class of stochastic spatial models

Presenter
  • Ted Cox
April 16, 2012
MBI
Stochastic Lagrangian particle systems for the Navier-Stokes and Burgers equations Thumbnail

Stochastic Lagrangian particle systems for the Navier-Stokes and Burgers equations

Presenter
  • Gautam Iyer
February 25, 2010
IMA
An overview of the non linearity in Quantum Chemical continuum solvation models Thumbnail

An overview of the non linearity in Quantum Chemical continuum solvation models

Presenter
  • Roberto Cammi
December 9, 2008
IMA
Representation Theory and Topology Thumbnail

Representation Theory and Topology

Presenter
  • Markus Linckelmann
February 4, 2008
SLMath
Mark Tuckerman - Quantum time correlation functions in an open-chain path integral distribution Thumbnail

Mark Tuckerman - Quantum time correlation functions in an open-chain path integral distribution

Presenter
  • Mark Tuckerman
May 26, 2022
IPAM
Optimal Stopping via Randomized Neural Networks Thumbnail

Optimal Stopping via Randomized Neural Networks

Presenter
  • Josef Teichmann
May 23, 2022
IMSI
Random forests and hyperbolic symmetry Thumbnail

Random forests and hyperbolic symmetry

Presenter
  • Roland Bauerschmidt
November 10, 2021
IAS
Decoding geometry and topology of neural representations Thumbnail

Decoding geometry and topology of neural representations

Presenter
  • Vladimir Itskov
May 10, 2021
SLMath
Asymptotic spectra and their applications I and II Thumbnail

Asymptotic spectra and their applications I and II

Presenter
  • Jeroen Zuiddam
October 16, 2018
IAS