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SNAP-FM: Sparse Nonlinear Accelerated Projection for Physics-Constrained Generative Modeling
Generative models have emerged as scalable surrogates for physical simulation, yet they offer no guarantee that their outputs respect the conservation laws, boundary conditions, and nonlinear invariants that govern the underlying physics. Constrained sampling closes this gap, enforcing such constrai
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