most citedTransferable 3D Convolutional Neural Networks for Elastic Constants Prediction in Nanoporous Metals

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cs.LG2026

Robust Importance Sampling for Rare Events via Constrained Gaussian Mixtures

Paweł Lorek, Rafał Nowak, Rafał Topolnicki +2

We study estimating rare-event probabilities with and general $g : \mathbb{R}^d \to \m…

cs.LG2026

Physics-informed convolutional neural networks for fluid flow through porous media

Rafał Topolnicki, Paweł Dłotko, Maciej Matyka

Accurate simulation of fluid flow in porous media is challenging due to complex pore-space geometries and the computational cost of solving the Navier-Stokes equations. This diffic…

cs.LG2026

Reducing Estimation Uncertainty Using Normalizing Flows and Stratification

Paweł Lorek, Rafał Nowak, Rafał Topolnicki +3

Estimating the expectation of a real-valued function of a random variable from sample data is a critical aspect of statistical analysis, with far-reaching implications in various a…