arxiv
PublishedJuly 16, 2026 at 4:00 AM
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Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs
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arXiv:2603.12676v5 Announce Type: replace Abstract: Generalizing neural surrogate models across different PDE parameters remains difficult because changes in PDE coefficients often make learning harder and optimization less stable. The problem becomes even more severe when the model must also predic
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Originally published on arxiv ↗