Videos

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Active Sampling for Optimizing Prediction Model Reliability Thumbnail

Active Sampling for Optimizing Prediction Model Reliability

Presenter
  • Georg Krempl
September 15, 2016
IMA

Leveraging predictive inverse problems to characterize uncertainties in the presence of model misspecification

Presenter
  • Rebekah White
March 3, 2026
ICERM
A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information Thumbnail

A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information

Presenter
  • Andrew Brown
May 22, 2025
IMSI
Latent Variable Gaussian Process (LVGP) for Adaptive, Interpretable, and Multi-Fidelity Design of Emerging Materials and Structures Thumbnail

Latent Variable Gaussian Process (LVGP) for Adaptive, Interpretable, and Multi-Fidelity Design of Emerging Materials and Structures

Presenter
  • Wei Chen
April 1, 2025
IMSI
Strategic Framework for Designing Trustworthy Deep Learning Surrogate Models Thumbnail

Strategic Framework for Designing Trustworthy Deep Learning Surrogate Models

Presenter
  • Danial Faghihi
February 25, 2025
IMSI
Daniel Schwen - MOOSE: Parallel sampling for rare event probabilities & inverse Bayesian inference Thumbnail

Daniel Schwen - MOOSE: Parallel sampling for rare event probabilities & inverse Bayesian inference

Presenter
  • Daniel Schwen
March 30, 2023
IPAM
High-resolution climate modeling using coarse-scale models and reanalysis data Thumbnail

High-resolution climate modeling using coarse-scale models and reanalysis data

Presenter
  • Themistoklis Sapsis
November 3, 2022
IMSI
Model-Based Trajectory Inference for Single-Cell RNA Sequencing Using Deep Learning with a Mixture Prior Thumbnail

Model-Based Trajectory Inference for Single-Cell RNA Sequencing Using Deep Learning with a Mixture Prior

Presenter
  • Jingshu Wang
August 31, 2021
IMSI
The Effectiveness of Nonconvex Tensor Completion: Fast Convergence and Uncertainty Quantification Thumbnail

The Effectiveness of Nonconvex Tensor Completion: Fast Convergence and Uncertainty Quantification

Presenter
  • Yuxin Chen
May 19, 2021
IPAM
Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models Thumbnail

Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models

Presenter
  • Chris Sutton
November 21, 2019
IPAM
Data assimilation as an optimal control problem and applications to uncertainty quantification Thumbnail

Data assimilation as an optimal control problem and applications to uncertainty quantification

Presenter
  • Sebastian Reich
November 13, 2017
IPAM
PDE Constrained Optimization with Uncertain Data Thumbnail

PDE Constrained Optimization with Uncertain Data

Presenter
  • Matthias Heinkenschloss
March 14, 2016
IMA