mlsanityData to 7 Oct 2026

Latent Generative Solvers for Generalizable Long-Term Physics Simulation

arXiv 2602.11229 ↗First posted 11 Feb 2026cs.AI cs.LGcited by 2

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Abstract (arXiv)

Reliable physics simulation demands two capabilities that today's neural PDE solvers do not deliver together: generalization across heterogeneous PDE families, and stability under long autoregressive rollouts. Deterministic operators accumulate error geometrically, while existing probabilistic solvers are confined to a single PDE family or short horizons. We close this gap with the Latent Generative Solver (LGS), three coupled components: (i) a Physics VAE (PhyVAE) compressing twelve PDE families into a shared latent manifold; (ii) a Pyramidal Flow-Forcing Transformer (PFlowFT) that generates the next latent by flow matching, conditioned on a per-trajectory context updated on the model's own predictions; and (iii) input noising during training, for which we derive a sufficient-condition contraction bound explaining the observed long-horizon stability. Pretrained on a 2.5,M-trajectory, 16-system corpus at 1282, LGS matches the strongest deterministic baseline at one step, wins on 15/16 systems at both 5- and 10-step rollout, cuts 20-step L2RE from 56.1% to 30.2%, and uses 13--77× less recurrent dynamics-step compute. It also adapts efficiently to a 2562 Kolmogorov flow held out from the pretraining corpus, dropping 1-step L2RE from 0.398 to 0.129 in five finetune epochs against U-AFNO's 0.653→0.343. These empirical claims are limited to the evaluated 2D regular-grid systems and discrete horizons.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 47 of its 70 references that are in the map. First posted on arXiv 11 Feb 2026.

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47 of 70 references.

References · 47

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Citing papers per year: 2026: 2.

2 papers.

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  3. 2026Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains
  4. 2023LatentPINNs: Generative physics-informed neural networks via a latent representation learning
  5. 2026Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations
  6. 2026Variational Grey-Box Dynamics Matching
  7. 2026Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training
  8. 2025Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints