Videos

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Oracle Separation of Quantum Polynomial time and the Polynomial Hierarchy Thumbnail

Oracle Separation of Quantum Polynomial time and the Polynomial Hierarchy

Presenter
  • Avishay Tal
October 1, 2018
IAS
Towards an equation of state for dense nematics with steric interactions Thumbnail

Towards an equation of state for dense nematics with steric interactions

Presenter
  • Peter Palffy-Muhoray
February 28, 2018
IMA
Diophantine approximation with arithmetically small points Thumbnail

Diophantine approximation with arithmetically small points

Presenter
  • Vesselin Dimitrov
February 20, 2018
IAS
Multiscale modeling of stroke and vascular dementia Thumbnail

Multiscale modeling of stroke and vascular dementia

Presenter
  • William Lytton
February 14, 2018
IMA
On Computational Hardness with Graph Neural Networks Thumbnail

On Computational Hardness with Graph Neural Networks

Presenter
  • Joan Bruna
February 7, 2018
IPAM
Topological defects in a living nematic Thumbnail

Topological defects in a living nematic

Presenter
  • Igor Aronson
January 18, 2018
IMA
Pressure-induced assembly and anomalous diffusion in electrophoretically-driven nematic colloids Thumbnail

Pressure-induced assembly and anomalous diffusion in electrophoretically-driven nematic colloids

Presenter
  • Jordi Ignés
January 16, 2018
IMA

Mechanically-coupled Reaction-Diffusion model of Glioma Growth

Presenter
  • Philippe Buchler
March 31, 2017
MBI
A mathematical model of cell fate reprogramming: From open loop to closed loop feedback control Thumbnail

A mathematical model of cell fate reprogramming: From open loop to closed loop feedback control

Presenter
  • Domitilla Del Vecchio
March 2, 2017
IPAM
Big Data at the LHC Thumbnail

Big Data at the LHC

Presenter
  • Frank Wuerthwein
January 31, 2017
IPAM
Extreme Events and Metastability in Fluids via Computation of Large Deviation Minimizers Thumbnail

Extreme Events and Metastability in Fluids via Computation of Large Deviation Minimizers

Presenter
  • Tobias Grafke
January 11, 2017
IPAM
Using machine learning to map the structure and predict the properties of materials and molecules Thumbnail

Using machine learning to map the structure and predict the properties of materials and molecules

Presenter
  • Michele Ceriotti
September 27, 2016
IPAM