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
Generalization Theory in Machine Learning Thumbnail

Generalization Theory in Machine Learning

Presenter
  • Adam Oberman
March 10, 2020
IPAM
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations Thumbnail

Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations

Presenter
  • Maziar Raissi
October 29, 2019
IPAM
Coordinates, governing equations and limits of model discovery Thumbnail

Coordinates, governing equations and limits of model discovery

Presenter
  • J. Nathan Kutz
October 16, 2019
IPAM
Topological approach to 13th Hilbert problem Thumbnail

Topological approach to 13th Hilbert problem

Presenter
  • Askold Khovanskii
February 19, 2019
IPAM

Mathematics, Technology, and Mental Illness

Presenter
  • Kevin Passino
April 19, 2018
MBI
Numerical Approximation Algorithms for Big Data Thumbnail

Numerical Approximation Algorithms for Big Data

Presenter
  • Dongbin Xiu
May 24, 2017
IPAM
Drift and Diffusion in Volume Preserving and Symplectic Maps Thumbnail

Drift and Diffusion in Volume Preserving and Symplectic Maps

Presenter
  • James Meiss
January 27, 2017
IPAM

Navigating Biochemical Pathways for Cell Polarization and Motility (A Personal Journey)

Presenter
  • Leah Edelstein-Keshet
January 11, 2017
MBI
Density functional perturbation theory for large systems Thumbnail

Density functional perturbation theory for large systems

Presenter
  • Lin Lin
November 16, 2016
IPAM
Data-driven methods for discovery of observables and Koopman embeddings in dynamical systems Thumbnail

Data-driven methods for discovery of observables and Koopman embeddings in dynamical systems

Presenter
  • J. Nathan Kutz
October 27, 2016
IPAM

Noise and Intelligence in intracellular gene-regulatory networks

Presenter
  • Alexey Zaikin
January 25, 2016
MBI