Steven Goldenberg

According to our database, Steven Goldenberg authored at least 7 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

2024

Distance preserving machine learning for uncertainty aware accelerator capacitance predictions.

Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I. Radaideh, Sarah Cousineau, Sudarshan Harave

Mach. Learn. Sci. Technol., 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

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

Proceedings of the International Conference on Machine Learning and Applications, 2024

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

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, Pradeep Ramuhalli, Sarah Cousineau

CoRR, 2023

2019

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