Videos

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Preconditioning without a preconditioner using block Krylov subspace methods

Presenter
  • Tyler Chen
February 5, 2026
ICERM
Deep Kernel Aalen-Johansen Estimator: An Interpretable and Flexible Neural Net Framework for Competing Risks Thumbnail

Deep Kernel Aalen-Johansen Estimator: An Interpretable and Flexible Neural Net Framework for Competing Risks

Presenter
  • George Chen
February 2, 2026
IMSI
Anthony (Chi-Fang) Chen - Fast Mixing of 1D Quantum Systems at All Temperatures - IPAM at UCLA Thumbnail

Anthony (Chi-Fang) Chen - Fast Mixing of 1D Quantum Systems at All Temperatures - IPAM at UCLA

Presenter
  • Anthony Chen
January 12, 2026
IPAM

Kinetic Theory: Novel Statistical, Stochastic and Analytical Methods: Explicit construction of zero loss minimizers and the interpretability problem in Deep Learning

Presenter
  • Thomas Chen
October 21, 2025
SLMath
Chong Liu - An experimentalist's (primitive) view of stochasticity in electrochemistry Thumbnail

Chong Liu - An experimentalist's (primitive) view of stochasticity in electrochemistry

Presenter
  • Chong Liu
October 10, 2025
IPAM

Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: I

Presenter
  • Yingda Chen
August 26, 2025
SLMath

Understand Cellular Aging through Modeling Yeast Budding

Presenter
  • Weitao Chen
July 29, 2025
ICERM

Curves of minimal degree on hypersurfaces

Presenter
  • Nathan Chen
June 27, 2025
ICERM

Efficient Krylov subspace methods for large-scale hierarchical Bayesian inverse problems

Presenter
  • Julianne Chung
May 6, 2025
ICERM
Dynamic Tensor Factor Model with Main and Interaction Effects Thumbnail

Dynamic Tensor Factor Model with Main and Interaction Effects

Presenter
  • Rong Chen
May 5, 2025
IMSI
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
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