103 citations · 329 across the 15 of their papers we have counts for
4 papers · 1 filter
Empirical fits to inclusive electron-carbon scattering data obtained by deep-learning methods
Beata E. Kowal, Krzysztof M. Graczyk, Artur M. Ankowski +3
Employing the neural network framework, we obtain empirical fits to the electron-scattering cross sections for carbon over a broad kinematic region, extending from the quasielastic…
JLab spectral functions of argon in NuWro and their implications for MicroBooNE
Rwik Dharmapal Banerjee, Artur M. Ankowski, Krzysztof M. Graczyk +3
The Short-Baseline Neutrino program in Fermilab aims to resolve the nature of the low-energy excess events observed in LSND and MiniBooNE, and analyze with unprecedented precision…
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…
Neutral current neutrino and antineutrino scattering off the polarized nucleon
Krzysztof M. Graczyk, Beata E. Kowal
The elastic and inelastic neutral current () scattering off the polarized nucleon is discussed. The inelastic scattering concerns the single-pion production process…