mlsanityData to 7 Oct 2026

Overtone: Cyclic Patch Modulation for Clean, Efficient, and Flexible Physics Emulators

arXiv 2507.09264 ↗First posted 12 Jul 2025cs.LG cs.AI eess.IVcited by 3

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Abstract (arXiv)

Transformer-based PDE surrogates achieve remarkable performance but face two key challenges: fixed patch sizes cause systematic error accumulation at harmonic frequencies, and computational costs remain inflexible regardless of problem complexity or available resources. We introduce Overtone, a unified solution through dynamic patch size control at inference. Overtone's key insight is that cyclically modulating patch sizes during autoregressive rollouts distributes errors across the frequency spectrum, mitigating the systematic harmonic artifact accumulation that plague fixed-patch models. We implement this through two architecture-agnostic modules--CSM (using dynamic stride modulation) and CKM (using dynamic kernel resizing)--that together provide both harmonic mitigation and compute-adaptive deployment. This flexible tokenization lets users trade accuracy for speed dynamically based on computational constraints, and the cyclic rollout strategy yields up to 40% lower long rollout error in variance-normalised RMSE (VRMSE) compared to conventional, static-patch surrogates. Across challenging 2D and 3D PDE benchmarks, one Overtone model matches or exceeds fixed-patch baselines across inference compute budgets, when trained under a fixed total training budget setting.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 50 of its 92 references that are in the map. First posted on arXiv 12 Jul 2025.

Builds on

50 of 92 references.

References · 50

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.