Feb. 6, 2024, 5:42 a.m. | Haixu Wu Huakun Luo Haowen Wang Jianmin Wang Mingsheng Long

cs.LG updates on arXiv.org arxiv.org

Transformers have empowered many milestones across various fields and have recently been applied to solve partial differential equations (PDEs). However, since PDEs are typically discretized into large-scale meshes with complex geometries, it is challenging for Transformers to capture intricate physical correlations directly from massive individual points. Going beyond superficial and unwieldy meshes, we present Transolver based on a more foundational idea, which is learning intrinsic physical states hidden behind discretized geometries. Specifically, we propose a new Physics-Attention to adaptively split …

beyond correlations cs.lg differential fields general massive meshes milestones scale solve solver transformer transformers

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