arXiv Machine Learning June 16, 2026 By Rajyasri Roy, Dibyajyoti Nayak, Somdatta Goswami

ANCHOR: Error-Controlled Adaptive Numerical Correction for Neural Operator Time Marching

Read the original on arXiv Machine Learning →

arXiv:2512. 19643v2 Announce Type: replace Abstract: Numerical simulation of time-dependent partial differential equations (PDEs) is central to scientific and engineering applications, but high-fidelity solvers are often prohibitively expensive for long-horizon or time-critical settings.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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