Videos

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A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems Thumbnail

A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems

Presenter
  • Xiaochuan Tian
May 15, 2024
IMSI

Uncertainty Quantification for Neurobiological Networks.

Presenter
  • Daniele Avitabile
September 20, 2023
ICERM
Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy Thumbnail

Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy

Presenter
  • Rama Vasudevan
November 29, 2022
IPAM
Tim Salditt - Phase Retrieval & Tomographic Reconstruction in X-ray Near-field Diffractive Imaging Thumbnail

Tim Salditt - Phase Retrieval & Tomographic Reconstruction in X-ray Near-field Diffractive Imaging

Presenter
  • Tim Salditt
October 11, 2022
IPAM
Computational Graph Completion Thumbnail

Computational Graph Completion

Presenter
  • Houman Owhadi
September 1, 2022
IMSI
Driving and Routing Games for Autonomous Vehicles on Networks – A Mean Field Game Approach Thumbnail

Driving and Routing Games for Autonomous Vehicles on Networks – A Mean Field Game Approach

Presenter
  • Sharon Di
November 2, 2021
IMSI
Learning with Uncertainty on Dynamic Manifolds Thumbnail

Learning with Uncertainty on Dynamic Manifolds

Presenter
  • Daniel Tartakovsky
May 13, 2021
IMSI
Multi-Output Prediction: Theory and Practice Thumbnail

Multi-Output Prediction: Theory and Practice

Presenter
  • Inderjit Dhillon
August 27, 2020
IAS
Lagrangian Approximations and Computations of Effective Diffusivities and Front Speeds in Chaotic and Stochastic Volume Preserving Flows Thumbnail

Lagrangian Approximations and Computations of Effective Diffusivities and Front Speeds in Chaotic and Stochastic Volume Preserving Flows

Presenter
  • Jack Xin
May 21, 2020
IPAM
Learning dynamical laws from data in classical and quantum settings Thumbnail

Learning dynamical laws from data in classical and quantum settings

Presenter
  • Jens Eisert
October 29, 2019
IPAM
Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces Thumbnail

Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces

Presenter
  • Boumediene Hamzi
October 28, 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