Videos

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Modeling neurite outgrowth

Presenter
  • David Holcman
November 4, 2014
MBI
Adaptive Mixed Finite Element Approximation of Eigenvalue Clusters Thumbnail

Adaptive Mixed Finite Element Approximation of Eigenvalue Clusters

Presenter
  • Daniele Boffi
October 23, 2014
IMA
Homology of Littlewood complexes Thumbnail

Homology of Littlewood complexes

Presenter
  • Steven Sam
December 7, 2012
SLMath
The diversity of symplectic 6-manifolds with vanishing first Chern class Thumbnail

The diversity of symplectic 6-manifolds with vanishing first Chern class

Presenter
  • Joel Fine
October 31, 2011
SLMath
Methane in subsurface: resource and hazard. Towards hybrid mathematical models and computational solutions Thumbnail

Methane in subsurface: resource and hazard. Towards hybrid mathematical models and computational solutions

Presenter
  • Malgorzata Peszynska
April 13, 2011
IMA
On the dynamics of interbed multiples Thumbnail

On the dynamics of interbed multiples

Presenter
  • Fons Ten Kroode
October 20, 2005
IMA
Radar Imaging from Multiply Scattered Waves Thumbnail

Radar Imaging from Multiply Scattered Waves

Presenter
  • Clifford Nolan
October 18, 2005
IMA
Paula Wulff - Driving and quenching of zonal flows on gas giants - IPAM at UCLA Thumbnail

Paula Wulff - Driving and quenching of zonal flows on gas giants - IPAM at UCLA

Presenter
  • Paula Wulff
January 30, 2025
IPAM
Quantum Advantage in Games of Incomplete Information Thumbnail

Quantum Advantage in Games of Incomplete Information

Presenter
  • Andreas Winter
May 26, 2021
IMSI
Learning probability distributions; What can, What can't be done Thumbnail

Learning probability distributions; What can, What can't be done

Presenter
  • Shai Ben-David
May 7, 2020
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II

Presenter
  • Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I

Presenter
  • Russell Impagliazzo
November 13, 2017
IAS