Videos

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Training neural ODEs for density estimation Thumbnail

Training neural ODEs for density estimation

Presenter
  • Christopher Finlay
April 23, 2020
IPAM

Data-driven Modeling and Optimization of Dissipative Dynamics

Presenter
  • Christopher Beattie
February 20, 2020
ICERM

Tutorial - Introductory Talk - An Introduction to System-theoretic Methods for Model Reduction - Part III-B - Preserving System Structure

Presenter
  • Christopher Beattie
February 4, 2020
ICERM

Tutorial - Introductory Talk - An Introduction to System-theoretic Methods for Model Reduction - Part III-A

Presenter
  • Christopher Beattie
February 4, 2020
ICERM
Relative Smoothness: Progress, Mysteries, and Hamiltonians Thumbnail

Relative Smoothness: Progress, Mysteries, and Hamiltonians

Presenter
  • Christopher Maddison
October 1, 2019
IAS
Random thoughts on random sets Thumbnail

Random thoughts on random sets

Presenter
  • Christopher Bishop
January 7, 2019
IPAM

Using Quantum Mechanical Devices to Perform Genomic Studies in Families: Challenges, Promises, Changes

Presenter
  • Christopher Bartlett
September 17, 2018
MBI
Assimilating Data into Physical Models Thumbnail

Assimilating Data into Physical Models

Presenter
  • Christopher KRT Jones
July 12, 2018
IAS

Rational points on conic bundle surfaces

Presenter
  • Christopher Frei
May 14, 2018
ICERM
Dynamic Filtering of Time-Varying Sparse Signals Thumbnail

Dynamic Filtering of Time-Varying Sparse Signals

Presenter
  • Christopher Rozell
April 25, 2018
IMA
Nonlinear dimensionality reduction for faster kernel methods in machine learning. Thumbnail

Nonlinear dimensionality reduction for faster kernel methods in machine learning.

Presenter
  • Christopher Musco
February 12, 2018
IAS

Using discrete recurrent neural networks to learn structure in recordings of large ensembles of nervous activity

Presenter
  • Christopher Hillar
September 15, 2016
MBI