3 papers
cs.LG2026
Evaluating passing decision-making in professional football: An enhanced MPNN approach to Receiver Selection
Gabriel Masella, Giuseppe Alessio D'Inverno, Max Goldsmith +1
The process of decision-making in football is characterized by a complex interplay between spatial positioning, opponent pressure, and player intent. This work introduces a Graph N…
physics.flu-dyn2026
Enhancing the accuracy of under-resolved numerical simulations of atmospheric flows with super resolution
Armin Sheidani, Michele Girfoglio, Annalisa Quaini +1
Super-resolution (SR) techniques based on deep learning have recently emerged as a promising approach to enhance the spatial resolution of computational fluid dynamics simulations…
math.NA2026
Reinforcement Learning-Based Filters for Convection-Dominated Flows: Reference-Free and Reference-Guided Training
Anna Ivagnes, Maria Strazzullo, Gianluigi Rozza
We propose a reinforcement learning (RL) framework for the dynamic selection of the filter parameter in Evolve-Filter (EF) regularization strategies for incompressible turbulent fl…