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M. Iwasaki

3 papers hereh-index 111 citations5 works total

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

author position
  • middle author2
  • last author1

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

fields
  • hep-ex1
  • hep-ph1
  • physics.data-an1
same name
  • M. Iwasaki — 192 papers
  • M. Iwasaki — 174 papers, h 57
  • M. Iwasaki — 97 papers, h 19
  • M. Iwasaki — 66 papers, h 7
  • M. Iwasaki — 18 papers, h 4
  • M. Iwasaki — 9 papers, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDevelopment of a Vertex Finding Algorithm using Recurrent Neural Network

7 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

hep-ph2026

Future of Artificial Intelligence for Science in Japan 2024 Community Report

Yoshitaka Itow, Jia Liu, Hirokazu Maesaka +16

This white paper summarizes scientific challenges and AI/ML research opportunities identified through the FAIRS Japan 2024 unconference process. The discussion focuses on three maj…

hep-ex2026

Search for Sub-GeV Axion-Like Particles at EBES Pilot Run Using 4 GeV Positron Beam at KEK LINAC

Takahiro Fusayasu, Tomoya Iizawa, Fumihito Ikeda +18

We report the results of a search for sub-GeV axion-like particles (ALPs) using pilot run data from the Electron Beam-dump Experiment at KEK LINAC Switching Yard 3 (EBES). The data…

physics.data-an2021★ 7 cited

Development of a Vertex Finding Algorithm using Recurrent Neural Network

Kiichi Goto, Taikan Suehara, Tamaki Yoshioka +5

Deep learning is a rapidly-evolving technology with possibility to significantly improve physics reach of collider experiments. In this study we developed a novel algorithm of vert…

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