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Physics-informed diffusion models in spectral space

Davide Gallon, Philippe von Wurstemberger, Patrick Cheridito, Arnulf Jentzen
Jun 3, 2026 at 04:00
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arXiv:2602.09708v2 Announce Type: replace-cross Abstract: We propose physics-informed spectral diffusion (PISD), a methodology that combines generative latent diffusion models with physics-informed machine learning to generate solutions of partial differential equations (PDEs) conditioned on partial observations, which includes, in particular,...

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