"SAGIPS: a physics-inspired scalable asynchronous generative ..."

Daniel Lersch et al. (2025)

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DOI: 10.1088/2632-2153/ADC8FB

access: open

type: Journal Article

metadata version: 2025-10-14

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Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Nobuo Sato, Xingfu Wu, J. Taylor Childers, Steven Goldenberg:
SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver. Mach. Learn. Sci. Technol. 6(2): 25017 (2025)

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