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Marco A. Bühler

1 paper hereh-index 00 citations0 works total

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author position
  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

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most citedKAN-SR: A Kolmogorov-Arnold Network Guided Symbolic Regression Framework

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2025★ 1 cited

KAN-SR: A Kolmogorov-Arnold Network Guided Symbolic Regression Framework

Marco Andrea Bühler, Gonzalo Guillén-Gosálbez

We introduce a novel symbolic regression framework, namely KAN-SR, built on Kolmogorov Arnold Networks (KANs) which follows a divide-and-conquer approach. Symbolic regression searc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.