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Susumu Katayama

3 papers hereh-index 8244 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedGeneral-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation

3 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025

KAN/H: Kolmogorov-Arnold Network using Haar-like bases

Susumu Katayama

Function approximation using Haar basis systems offers an efficient implementation when compressed via Patricia trees while retaining the flexibility of wavelets for both global an…

cs.AI2018★ 3 cited

General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation

Lidia Contreras-Ochando, César Ferri, José Hernández-Orallo +3

Given one or two examples, humans are good at understanding how to solve a problem independently of its domain, because they are able to detect what the problem is and to choose th…

cs.AI2018★ 1 cited

Computable Variants of AIXI which are More Powerful than AIXItl

Susumu Katayama

This paper presents Unlimited Computable AI, or UCAI, that is a family of computable variants of AIXI. UCAI is more powerful than AIXItl, that is a conventional family of computabl…

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