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Sohl-Dickstein J, Weiss E, Maheswaranathan N, Ganguli S · 2015

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physics.ins-det 1

years

2026 1

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UNVERDICTED 1

representative citing papers

Machine Learning for neutron source distributions

physics.ins-det · 2026-05-12 · unverdicted · novelty 5.0

Generative models including VAEs, normalizing flows, GANs, and diffusion models can learn neutron source distributions from Monte Carlo lists for fast, memory-free sampling after training.

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  • Machine Learning for neutron source distributions physics.ins-det · 2026-05-12 · unverdicted · none · ref 28

    Generative models including VAEs, normalizing flows, GANs, and diffusion models can learn neutron source distributions from Monte Carlo lists for fast, memory-free sampling after training.