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hep-ph2026
Machine-learning-based neutrino-event generation constrained by experimental measurements
Jose Luis Bonilla, Krzysztof M. Graczyk, Rwik Dharmapal Banerjee +3
We present a generative surrogate for charged-current \(ν_μ\)-nucleus scattering that can be calibrated to measured differential cross sections without event-level experimental sam…
hep-ph2026
Inclusive electron-nucleus cross section models from domain adaptation
Krzysztof M. Graczyk, Beata E. Kowal, Rwik Dharmapal Banerjee +3
We apply transfer learning (TL) to construct data-driven models of inclusive electron-nucleus cross sections. Starting from an ensemble of deep neural networks pretrained on \(^{12…