Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning. - Krzysztof M. Graczyk; Maciej Matyka (CoRR, 2020)

Self-Normalized Density Map (SNDM) for Counting Microbiological Objects. - Krzysztof M. Graczyk; Jaroslaw Pawlowski; Sylwia Majchrowska; Tomasz Golan (CoRR, 2022)

Deep learning for diffusion in porous media. - Krzysztof M. Graczyk; Dawid Strzelczyk; Maciej Matyka (CoRR, 2023)

Bayesian Reasoning for Physics Informed Neural Networks. - Krzysztof M. Graczyk; Kornel Witkowski (CoRR, 2023)

Empirical fits to inclusive electron-carbon scattering data obtained by deep-learning methods. - Beata E. Kowal; Krzysztof M. Graczyk; Artur M. Ankowski; Rwik Dharmapal Banerjee; Hemant Prasad; Jan T. Sobczyk (CoRR, 2023)

Electron-nucleus cross sections from transfer learning. - Krzysztof M. Graczyk; Beata E. Kowal; Artur M. Ankowski; Rwik Dharmapal Banerjee; José Luis Bonilla; Hemant Prasad; Jan T. Sobczyk (CoRR, 2024)

Generative adversarial neural networks for simulating neutrino interactions. - José Luis Bonilla; Krzysztof M. Graczyk; Artur M. Ankowski; Rwik Dharmapal Banerjee; Beata E. Kowal; Hemant Prasad; Jan T. Sobczyk (CoRR, 2025)