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most citedMulti-Objective Loss Balancing for Physics-Informed Deep Learning

169 citations · 203 across the 4 of their papers we have counts for

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cs.LG2026

Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows

Janne Perini, Rafael Bischof, Moab Arar +4

Designing urban spaces that provide pedestrian wind comfort and safety requires time-resolved Computational Fluid Dynamics (CFD) simulations, but their current computational cost m…