2 citations · 3 across the 4 of their papers we have counts for
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physics.comp-ph2026★ 1 cited
Bayesian Reasoning for Physics Informed Neural Networks
Krzysztof M. Graczyk, Kornel Witkowski
We introduce an evidence-driven Bayesian formulation of physics-informed neural networks that enables automatic optimization of loss weights between PDE residuals, boundary conditi…
hep-ph2026★ 2 cited
Transfer Learning for Neutrino Scattering: Domain Adaptation with GANs
Jose L. Bonilla, Krzysztof M. Graczyk, Artur M. Ankowski +4
Transfer learning (TL) is used to extrapolate the physics information encoded in a Generative Adversarial Network (GAN) trained on synthetic neutrino-carbon inclusive scattering da…