Videos

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Linear and nonlinear methods for model reduction

Presenter
  • Diane Guignard
February 17, 2020
ICERM

Reduced Models in State Estimation

Presenter
  • Wolfgang Dahmen
February 17, 2020
ICERM

Sampling low-dimensional Markovian dynamics for learning certified reduced models from data

Presenter
  • Benjamin Peherstorfer
February 17, 2020
ICERM

Adaptivity concepts for POD reduced-order modeling

Presenter
  • Carmen Gräßle
February 17, 2020
ICERM

Further exploitation of the RB framework

Presenter
  • Yvon Maday
February 17, 2020
ICERM
New strategies for reduced-order models for predicting the statistical responses and uncertainty quantification in complex turbulent dynamical systems Thumbnail

New strategies for reduced-order models for predicting the statistical responses and uncertainty quantification in complex turbulent dynamical systems

Presenter
  • Andrew Majda
January 11, 2017
IPAM
Learning dynamics with dynamical distances: From diffusion maps to commute maps and coherence Thumbnail

Learning dynamics with dynamical distances: From diffusion maps to commute maps and coherence

Presenter
  • Ralf Banisch
December 5, 2016
IPAM
Konstantin Mischaikow - Dynamics of Regulatory Networks - IPAM at UCLA Thumbnail

Konstantin Mischaikow - Dynamics of Regulatory Networks - IPAM at UCLA

Presenter
  • Konstantin Mischaikow
February 24, 2026
IPAM
Reducing complexity by implicit solvation models. Thumbnail

Reducing complexity by implicit solvation models.

Presenter
  • Benjamin Stamm
November 16, 2016
IPAM
Solving Heterogeneous Agent Models with the Master Equation Thumbnail

Solving Heterogeneous Agent Models with the Master Equation

Presenter
  • Adrien Bilal
October 28, 2021
IMSI
Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo Thumbnail

Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo

Presenter
  • Michael Scherbela
May 27, 2022
IPAM

Learning Reduced-Order Models for Cardiovascular Simulations using Graph Neural Networks


Presenter
  • Luca Pegolotti
June 6, 2023
ICERM