19 citations · 32 across the 17 of their papers we have counts for
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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
Understanding the geometry of deep learning with decision boundary volume
Matthew Burfitt, Jacek Brodzki, Pawel Dłotko
For classification tasks, the performance of a deep neural network is determined by the structure of its decision boundary, whose geometry directly affects essential properties of…