arXiv Machine Learning September 24, 2026 By Shengyang Xu, Weijun Zhang, Jun Hu, Pengzhan Jin

MENO: Memory-Efficient Neural Operator

Read the original on arXiv Machine Learning →

The paper introduces MENO, a Memory‑Efficient Neural Operator designed for solving partial differential equations (PDEs). MENO leverages a Manifold Function Encoder to achieve a small memory footprint that does not depend on data resolution, enabling faster training and potential scalability to large models. It accepts PDE inputs of arbitrary form—including different geometric domains and discretizations—allowing cross‑geometry scenarios, and demonstrates strong generalization with superior accuracy on most tested benchmarks.

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