Videos

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Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty Thumbnail

Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty

Presenter
  • Paris Perdikaris
September 28, 2018
IPAM
Optimization Methods for Large Scale Distributed Deep Learning Thumbnail

Optimization Methods for Large Scale Distributed Deep Learning

Presenter
  • Rio Yokota
September 28, 2018
IPAM
A Stochastic Generator of Global Monthly Wind Energy with Tukey g-and-h Autoregressive Processes Thumbnail

A Stochastic Generator of Global Monthly Wind Energy with Tukey g-and-h Autoregressive Processes

Presenter
  • Marc Genton
September 28, 2018
IPAM
Renormalized Volume for Hyperbolic 3-manifolds. Thumbnail

Renormalized Volume for Hyperbolic 3-manifolds.

Presenter
  • Franco Vargas Pallete
September 28, 2018
IAS
What I learned about pseudoholomorphic quilts in the IAS cafeteria (but not at the math table) Thumbnail

What I learned about pseudoholomorphic quilts in the IAS cafeteria (but not at the math table)

Presenter
  • Nathaniel Bottman
September 28, 2018
IAS
Logarithmic Riemann-Hilbert Correspondences Thumbnail

Logarithmic Riemann-Hilbert Correspondences

Presenter
  • Clemens Koppensteiner
September 28, 2018
IAS
Minimal surfaces and geometry of the space of cycles Thumbnail

Minimal surfaces and geometry of the space of cycles

Presenter
  • Yevgeny Liokumovich
September 28, 2018
IAS
Monodromy representations and arithmetic Thumbnail

Monodromy representations and arithmetic

Presenter
  • Daniel Litt
September 28, 2018
IAS
The Knockoffs Framework: New Statistical Tools for Replicable Selections Thumbnail

The Knockoffs Framework: New Statistical Tools for Replicable Selections

Presenter
  • Emmanuel Candès
September 27, 2018
IPAM
Ray: A System for Distributed AI Thumbnail

Ray: A System for Distributed AI

Presenter
  • Ion Stoica
September 27, 2018
IPAM
Scalable algorithms for optimal training data for Bayesian inference of large scale models Thumbnail

Scalable algorithms for optimal training data for Bayesian inference of large scale models

Presenter
  • Omar Ghattas
September 27, 2018
IPAM
Model Inversion and Data Assimilation for Decision-Making in an Uncertain but Data-Rich World Thumbnail

Model Inversion and Data Assimilation for Decision-Making in an Uncertain but Data-Rich World

Presenter
  • Mark Asch
September 27, 2018
IPAM