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cs.LG2026
Learning Incompressible 3D Flows from Sparse Samples: A Set Transformer Approach to Divergence-Free Kernel Fitting
Ramzi Idoughi, Radouan Boukharfane, Peter Wonka
Recovering divergence-free velocity fields from sparse and corrupted observations requires reconciling physical consistency, expressive representations, and robustness to missing d…
physics.flu-dyn2026
Discrete topology sensing in turbulence via signed pairwise graphlets of the velocity gradient tensor
Radouan Boukharfane
A signed pairwise graphlet encoding of the velocity gradient tensor is introduced as a minimal discrete representation of its off-diagonal structure, and its statistical r…