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Ryo Igarashi

Orcid: 0000-0002-2894-7226

Affiliations:
  • OMRON SINIC X Corporation, Tokyo, Japan
  • University of Tokyo, Information Technology Center, Tokyo, Japan


According to our database1, Ryo Igarashi authored at least 13 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MaterialFigBENCH: benchmark dataset with figures for evaluating college-level materials science problem-solving abilities of multimodal large language models.
[BibTeX]
[DOI]
Michiko Yoshitake
,
Yuta Suzuki
,
Ryo Igarashi
,
Yoshitaka Ushiku
,
Keisuke Nagato
CoRR, March, 2026

2025
CrystalFramer: Rethinking the Role of Frames for SE(3)-Invariant Crystal Structure Modeling.
[BibTeX]
[DOI]
Yusei Ito
,
Tatsunori Taniai
,
Ryo Igarashi
,
Yoshitaka Ushiku
,
Kanta Ono
CoRR, March, 2025

Contrastive Language-Structure Pre-training Driven by Materials Science Literature.
[BibTeX]
[DOI]
Yuta Suzuki
,
Tatsunori Taniai
,
Ryo Igarashi
,
Kotaro Saito
,
Naoya Chiba
,
Yoshitaka Ushiku
,
Kanta Ono
CoRR, January, 2025

Bridging text and crystal structures: literature-driven contrastive learning for materials science.
[BibTeX]
[DOI]
Yuta Suzuki
,
Tatsunori Taniai
,
Ryo Igarashi
,
Kotaro Saito
,
Naoya Chiba
,
Yoshitaka Ushiku
,
Kanta Ono
Mach. Learn. Sci. Technol., 2025

Rethinking the role of frames for SE(3)-invariant crystal structure modeling.
[BibTeX]
[DOI]
Yusei Ito
,
Tatsunori Taniai
,
Ryo Igarashi
,
Yoshitaka Ushiku
,
Kanta Ono
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery.
[BibTeX]
[DOI]
Yoshitomo Matsubara
,
Naoya Chiba
,
Ryo Igarashi
,
Yoshitaka Ushiku
J. Data-centric Mach. Learn. Res., 2024

MaterialBENCH: Evaluating College-Level Materials Science Problem-Solving Abilities of Large Language Models.
[BibTeX]
[DOI]
Michiko Yoshitake
,
Yuta Suzuki
,
Ryo Igarashi
,
Yoshitaka Ushiku
,
Keisuke Nagato
CoRR, 2024

Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding.
[BibTeX]
[DOI]
Tatsunori Taniai
,
Ryo Igarashi
,
Yuta Suzuki
,
Naoya Chiba
,
Kotaro Saito
,
Yoshitaka Ushiku
,
Kanta Ono
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Analysis of Protein Folding Simulation with Moving Root Mean Square Deviation.
[BibTeX]
[DOI]
Yutaka Maruyama
,
Ryo Igarashi
,
Yoshitaka Ushiku
,
Ayori Mitsutake
J. Chem. Inf. Model., March, 2023

A Transformer Model for Symbolic Regression towards Scientific Discovery.
[BibTeX]
[DOI]
Florian Lalande
,
Yoshitomo Matsubara
,
Naoya Chiba
,
Tatsunori Taniai
,
Ryo Igarashi
,
Yoshitaka Ushiku
CoRR, 2023

2022
Neural Structure Fields with Application to Crystal Structure Autoencoders.
[BibTeX]
[DOI]
Naoya Chiba
,
Yuta Suzuki
,
Tatsunori Taniai
,
Ryo Igarashi
,
Yoshitaka Ushiku
,
Kotaro Saito
,
Kanta Ono
CoRR, 2022

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery.
[BibTeX]
[DOI]
Yoshitomo Matsubara
,
Naoya Chiba
,
Ryo Igarashi
,
Tatsunori Taniai
,
Yoshitaka Ushiku
CoRR, 2022

2017
Updated core libraries of the ALPS project.
[BibTeX]
[DOI]
Alexander Gaenko
,
Andrey E. Antipov
,
Gabriele Carcassi
,
Tianran Chen
,
Xi Chen
,
Qiaoyuan Dong
,
Lukas Gamper
,
Jan Gukelberger
,
Ryo Igarashi
,
Sergei Iskakov
,
Mario Könz
,
James P. F. LeBlanc
,
Ryan Levy
,
Ping Nang Ma
,
Joseph E. Paki
,
Hiroshi Shinaoka
,
Synge Todo
,
Matthias Troyer
,
Emanuel Gull
Comput. Phys. Commun., 2017


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