Videos

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Flux and fixation for the voter model and the Axelrod model

Presenter
  • Nicolas Lanchier
June 24, 2012
MBI
Cynthia Flores - From Materials to Minds: Nonlocal Approaches to Damage and Degeneration Thumbnail

Cynthia Flores - From Materials to Minds: Nonlocal Approaches to Damage and Degeneration

Presenter
  • Cynthia Flores
September 26, 2024
IPAM
Efficient estimates of prior information and uncertainty with chi-square tests Thumbnail

Efficient estimates of prior information and uncertainty with chi-square tests

June 10, 2011
IMA
Langevin Dynamics of Yang-Mills in 2D and 3D Thumbnail

Langevin Dynamics of Yang-Mills in 2D and 3D

Presenter
  • Hao Shen
January 20, 2023
IAS
Random maximal isotropic subspaces and Selmer groups Thumbnail

Random maximal isotropic subspaces and Selmer groups

Presenter
  • Bjorn Poonen
January 5, 2011
IMA
Statistical reduced-order models and data-driven closure strategies for turbulent systems Thumbnail

Statistical reduced-order models and data-driven closure strategies for turbulent systems

November 4, 2022
IMSI
On the Impact(s) of Structural Model Error on Simulation Modeling Thumbnail

On the Impact(s) of Structural Model Error on Simulation Modeling

August 20, 2018
SAMSI

The Freter Model of Biofilm Formation

Presenter
  • Hal Smith
March 25, 2010
MBI
Dominik Wodarz - Evolution in Spatially Structured Tumors, Pt. 1/2 - IPAM at UCLA Thumbnail

Dominik Wodarz - Evolution in Spatially Structured Tumors, Pt. 1/2 - IPAM at UCLA

Presenter
  • Dominik Wodarz
February 23, 2026
IPAM
Dominik Wodarz - Evolution in Spatially Structured Tumors, Pt. 2/2 - IPAM at UCLA Thumbnail

Dominik Wodarz - Evolution in Spatially Structured Tumors, Pt. 2/2 - IPAM at UCLA

Presenter
  • Dominik Wodarz
February 23, 2026
IPAM
Towards a Digital Twin Framework with Uncertainty Quantification: Machine Learning, Bayesian Optimization and Model Predictive Control Thumbnail

Towards a Digital Twin Framework with Uncertainty Quantification: Machine Learning, Bayesian Optimization and Model Predictive Control

Presenter
  • Wei Chen
April 23, 2025
IMSI
Using autoencoders as generative models to create forecast ensembles for data assimilation Thumbnail

Using autoencoders as generative models to create forecast ensembles for data assimilation

Presenter
  • Ian Grooms
October 31, 2022
IMSI