arXiv Machine Learning July 14, 2026 By Aruzhan Tleubek, Salah A Faroughi

Neural Discovery of Memory and Nonlocal Kernels in Integro-Differential Equations with Constrained Kolmogorov--Arnold Networks

Read the original on arXiv Machine Learning →

arXiv:2607. 11110v1 Announce Type: new Abstract: Discovering the memory or nonlocal kernel governing an integro-differential equation (IDE) from sparse and noisy observations is an ill-posed inverse problem.

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

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