Analysis of autocorrelation times in Neural Markov Chain Monte Carlo simulations. - Piotr Bialas; Piotr Korcyl; Tomasz Stebel (CoRR, 2021)

Gradient estimators for normalising flows. - Piotr Bialas; Piotr Korcyl; Tomasz Stebel (CoRR, 2022)

Hierarchical autoregressive neural networks for statistical systems. - Piotr Bialas; Piotr Korcyl; Tomasz Stebel (Comput. Phys. Commun., 2022)

Training normalizing flows with computationally intensive target probability distributions. - Piotr Bialas; Piotr Korcyl; Tomasz Stebel (Comput. Phys. Commun., 2024)

Improving the solver for the Balitsky-Kovchegov evolution equation with Automatic Differentiation. - Florian Cougoulic; Piotr Korcyl; Tomasz Stebel (Comput. Phys. Commun., 2025)

NeuMC - A package for neural sampling for lattice field theories. - Piotr Bialas; Piotr Korcyl; Tomasz Stebel; Dawid Zapolski (SoftwareX, 2025)

Hierarchical autoregressive neural networks in three-dimensional statistical system. - Piotr Bialas; Vaibhav Chahar; Piotr Korcyl; Tomasz Stebel; Mateusz Winiarski; Dawid Zapolski (CoRR, 2025)

Estimation of the reduced density matrix and entanglement entropies using autoregressive networks. - Piotr Bialas; Piotr Korcyl; Tomasz Stebel; Dawid Zapolski (CoRR, 2025)