Anderson Acceleration for Distributed Training of Deep Learning Models... Conference Paper March, 2022
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression... Conference Paper March, 2022
Blackbox optimization for approximating high-fidelity heat transfer calculations in metal additive manufacturing... Journal January, 2022
Sas-temper: Software for Fitting Small-Angle Scattering Data that Provides Automated Reproducibility Characterization... Journal December, 2021
Inverse design of two-dimensional materials with invertible neural networks... Journal December, 2021
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
An out-of-distribution-aware autoencoder model for reduced chemical kinetics... Journal November, 2021