Videos

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On Bayesian models with networks for reconstruction and detection Thumbnail

On Bayesian models with networks for reconstruction and detection

Presenter
  • Ender Konukoglu
January 30, 2020
IPAM
Subfactors and Planar Algebras II Thumbnail

Subfactors and Planar Algebras II

Presenter
  • Emily Peters
January 30, 2020
SLMath

Tutorial/Introductory Talk

Presenter
  • Yvon Maday
January 30, 2020
ICERM
MR image acquisition and reconstruction in the era of deep learning Thumbnail

MR image acquisition and reconstruction in the era of deep learning

Presenter
  • Florian Knoll
January 30, 2020
IPAM
Quantifying the Topology of Coma Thumbnail

Quantifying the Topology of Coma

Presenter
  • Pablo Suarez-Serrato
January 29, 2020
IPAM
Momentum in Stochastic Gradient Descent and Deep Neural Nets Thumbnail

Momentum in Stochastic Gradient Descent and Deep Neural Nets

Presenter
  • Bao Wang
January 29, 2020
IPAM
Scaling the Hierarchical Topic Modeling Mountain: Neural NMF and Iterative Projection Methods Thumbnail

Scaling the Hierarchical Topic Modeling Mountain: Neural NMF and Iterative Projection Methods

Presenter
  • Jamie Haddock
January 29, 2020
IPAM
Finite tensor categories and finite-dimensional Hopf algebras Thumbnail

Finite tensor categories and finite-dimensional Hopf algebras

Presenter
  • Chris Negron
January 29, 2020
SLMath
Deep learning for cardiovascular image analysis Thumbnail

Deep learning for cardiovascular image analysis

Presenter
  • Ivana Isgum
January 29, 2020
IPAM
Hopf Algebras II Thumbnail

Hopf Algebras II

Presenter
  • Sarah Witherspoon
January 29, 2020
SLMath
Computational Genomic Approaches to the Understanding and Treatment of Cancer Thumbnail

Computational Genomic Approaches to the Understanding and Treatment of Cancer

Presenter
  • Jill Mesirov
January 28, 2020
IPAM
Conformal Nets I Thumbnail

Conformal Nets I

Presenter
  • Terry Gannon
January 28, 2020
SLMath