Invertible neural networks for E3SM land model calibration and simulation... Conference Paper April, 2022
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks... Conference Paper April, 2022
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression Conference Paper March, 2022
Anderson Acceleration for Distributed Training of Deep Learning Models... Conference Paper March, 2022
Self-Supervised Anomaly Detection via Neural Autoregressive Flows with Active Learning Conference Paper December, 2021
Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition Conference Paper November, 2021
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression Conference Paper November, 2021
Enabling Long-range Exploration in Minimization of Multimodal Functions Conference Paper October, 2021
A Sparse-Grid Probabilistic Scheme for Approximation of the Runaway Probability of Electrons in Fusion Tokamak Simulation Conference Paper October, 2021
Application of Machine Learning to Predict the Response of the Liquid Mercury Target at the Spallation Neutron Source... Conference Paper August, 2021
