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Takahiro G. Yamada

2 papers hereh-index 10338 citations47 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedSymbolic integration by integrating learning models with different strengths and weaknesses

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024

Asynchronous Batch Bayesian Optimization with Pipelining Evaluations for Experimental Resource$\unicode{x2013}$constrained Conditions

Yujin Taguchi, Yusuke Shibuya, Yusuke Hiki +3

Bayesian optimization is efficient even with a small amount of data and is used in engineering and in science, including biology and chemistry. In Bayesian optimization, a paramete…

cs.LG2021★ 2 cited

Symbolic integration by integrating learning models with different strengths and weaknesses

Hazumi Kubota, Yuta Tokuoka, Takahiro G. Yamada +1

Integration is indispensable, not only in mathematics, but also in a wide range of other fields. A deep learning method has recently been developed and shown to be capable of integ…

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