Videos

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Learning with Few Labeled Data Thumbnail

Learning with Few Labeled Data

Presenter
  • Pratik Chaudhari
October 6, 2020
IPAM

Cosmological initial data for numerical relativity

Presenter
  • David Garfinkle
September 17, 2020
ICERM

Gravitational Wave Data Analysis

Presenter
  • Neil Cornish
September 14, 2020
ICERM
Experimental Evaluation of Computer-Assisted Human Decision Making: A Missing Data Approach Thumbnail

Experimental Evaluation of Computer-Assisted Human Decision Making: A Missing Data Approach

Presenter
  • Kosuke Imai
September 8, 2020
IAS

Algebraic Methods for Tensor Data

Presenter
  • Harm Derksen
August 24, 2020
ICERM
COVID-19 Data Repository and County-level Death Count Prediction in the US Thumbnail

COVID-19 Data Repository and County-level Death Count Prediction in the US

Presenter
  • Bin Yu
August 13, 2020
SLMath
Learning with Few Labeled Data Thumbnail

Learning with Few Labeled Data

Presenter
  • Pratik Chaudhari
May 7, 2020
SLMath
Latent Stochastic Differential Equations for Irregularly-Sampled Time Series Thumbnail

Latent Stochastic Differential Equations for Irregularly-Sampled Time Series

Presenter
  • David Duvenaud
April 30, 2020
IAS
Learning with few labeled data Thumbnail

Learning with few labeled data

Presenter
  • Pratik Chaudhari
April 23, 2020
IPAM

Reduced Order Model Approach to Inverse Scattering

Presenter
  • Jorn Zimmerling
April 22, 2020
ICERM

The Loewner Framework for Model Reduction of Flow Equations

Presenter
  • Matthias Heinkenschloss
February 18, 2020
ICERM

Embedding properties of data-driven dissipative reduced order models

Presenter
  • Vladimir Druskin
February 18, 2020
ICERM