Entropy from Machine Learning. - Romuald A. Janik (CoRR, 2019)

Neural Networks on Random Graphs. - Romuald A. Janik; Aleksandra Nowak 001 (CoRR, 2020)

Complexity for deep neural networks and other characteristics of deep feature representations. - Romuald A. Janik; Przemek Witaszczyk (CoRR, 2020)

Neural networks adapting to datasets: learning network size and topology. - Romuald A. Janik; Aleksandra Nowak 001 (CoRR, 2020)

Aesthetics and neural network image representations. - Romuald A. Janik (CoRR, 2021)

Discovering Wiring Patterns Influencing Neural Network Performance. - Aleksandra Nowak 001; Romuald A. Janik (ECML/PKDD (3), 2022)

Neural Network Complexity of Chaos and Turbulence. - Tim Whittaker; Romuald A. Janik; Yaron Oz (CoRR, 2022)

Aspects of human memory and Large Language Models. - Romuald A. Janik (CoRR, 2023)

Turbulence scaling from deep learning diffusion generative models. - Tim Whittaker; Romuald A. Janik; Yaron Oz (J. Comput. Phys., 2024)