Recent & Upcoming Talks

Hit Twice by the Curse of Dimensionality; Spatio-Temporal Land Model Calibration using Karhunen-Loeve and Sparse Polynomial Chaos Expansions

Poster

Active Learning and Uncertainty Quantification for Machine Learning Interatomic Potentials

Talk

Quantifying and Reducing Uncertainty in the E3SM Land Model using Surrogate Modeling

Talk

Minima-preserving neural network (MPNN) for potential energy surface approximation

Talk

Statistical Learning and Model Error Estimation

Talk

Dimensionality Reduction and Physics-Informed Neural Networks for Climate Land Models

Talk

Dimensionality Reduction and Physics-Informed Recurrent Neural Networks for Climate Land Models

Poster

Physics-informed Machine Learning for Uncertainty Quantification in E3SM Land Model

Talk

Probabilistic Methods for Forward and Inverse Uncertainty Quantification

Talk

Uncertainty Quantification with Model Structural Error

Talk