A Golub-Kahan Davidson Method for Accurately Computing a Few Singular Triplets of Large Sparse Matrices. - Steven Goldenberg; Andreas Stathopoulos; Eloy Romero (SIAM J. Sci. Comput., 2019)

Multi-module based CVAE to predict HVCM faults in the SNS accelerator. - Yasir Alanazi; Malachi Schram; Kishansingh Rajput; Steven Goldenberg; Lasitha Vidyaratne; Chris Pappas; Majdi I. Radaideh; Dan Lu 001; Pradeep Ramuhalli; Sarah Cousineau (CoRR, 2023)

A comparison of machine learning surrogate models of street-scale flooding in Norfolk, Virginia. - Diana McSpadden; Steven Goldenberg; Binata Roy; Malachi Schram; Jonathan L. Goodall; Heather Richter (CoRR, 2023)

Location Invariant Flood Prediction using Fourier Neural Operator. - Chetan Kumar; Diana McSpadden; Steven Goldenberg; Malachi Schram; Heather Richter; Yidi Wang; Binata Roy; Jonathan L. Goodall (ICMLA, 2024)

Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac. - Steven Goldenberg; Kawser Ahammed; Adam Carpenter; Jiang Li; Riad Suleiman; Chris Tennant (CoRR, 2024)

Distance preserving machine learning for uncertainty aware accelerator capacitance predictions. - Steven Goldenberg; Malachi Schram; Kishansingh Rajput; Thomas Britton; Chris Pappas; Dan Lu 001; Jared Walden; Majdi I. Radaideh; Sarah Cousineau; Sudarshan Harave (Mach. Learn. Sci. Technol., 2024)

SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver. - Daniel Lersch; Malachi Schram; Zhenyu Dai; Kishansingh Rajput; Nobuo Sato; Xingfu Wu; J. Taylor Childers; Steven Goldenberg (Mach. Learn. Sci. Technol., 2025)