Videos

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All You Need is a Classifier Thumbnail

All You Need is a Classifier

Presenter
  • Assad Oberai
June 9, 2025
IMSI
Deep Gaussian processes for estimation of failure probabilities in complex systems Thumbnail

Deep Gaussian processes for estimation of failure probabilities in complex systems

Presenter
  • Annie Booth
May 20, 2025
IMSI

Computationally efficient uncertainty quantification for sparse Bayesian learning

Presenter
  • Jan Glaubitz
May 8, 2025
ICERM
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
Combining reinforcement learning with graph convolutional neural networks for efficient design of TiAl/TiAlN atomic-scale interfaces Thumbnail

Combining reinforcement learning with graph convolutional neural networks for efficient design of TiAl/TiAlN atomic-scale interfaces

Presenter
  • Houlong Zhang
April 22, 2025
IMSI
Building GP Surrogate Model with High-Dimensional Input Thumbnail

Building GP Surrogate Model with High-Dimensional Input

Presenter
  • Lulu Kang
April 4, 2025
IMSI
Generating Representative Point Samples from Probability Distributions Thumbnail

Generating Representative Point Samples from Probability Distributions

Presenter
  • Nathan Kirk
March 31, 2025
IMSI

Estimating Rare Event Probabilities in Reflecting Brownian Motion

Presenter
  • Kevin Leder
September 15, 2024
ICERM

Analytic Closures for M1 Neutrino Transport

Presenter
  • Lena Murchikova
July 12, 2024
ICERM
Understanding diffusion in complex materials using machine learning and a variational approach Thumbnail

Understanding diffusion in complex materials using machine learning and a variational approach

Presenter
  • Dallas Trinkle
May 16, 2024
IMSI
Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy Thumbnail

Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy

Presenter
  • Pilar Cossio
April 25, 2024
IMSI
Mathematical aspects of coarse graining: functional inequalities and quasi-stationary distributions Thumbnail

Mathematical aspects of coarse graining: functional inequalities and quasi-stationary distributions

Presenter
  • Tony Leli\u00e8vre
April 23, 2024
IMSI