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cs.LG2026
Physics-informed convolutional neural networks for fluid flow through porous media
RafaÅ Topolnicki, PaweÅ DÅotko, 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
PaweÅ Lorek, RafaÅ Nowak, RafaÅ 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…