Ryo Igarashi

14 papers A* 2Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
MaterialFigBENCH: benchmark dataset with figures for evaluating college-level materials science problem-solving abilities of multimodal large language models.
CoRR
Michiko Yoshitake, Yuta Suzuki, Ryo Igarashi, Yoshitaka Ushiku, Keisuke Nagato
2025 J jnl
Bridging text and crystal structures: literature-driven contrastive learning for materials science.
Mach. Learn. Sci. Technol.
Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi, Kotaro Saito, Naoya Chiba, Yoshitaka Ushiku, Kanta Ono
2025 J jnl
Contrastive Language-Structure Pre-training Driven by Materials Science Literature.
CoRR
Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi, Kotaro Saito, Naoya Chiba, Yoshitaka Ushiku, Kanta Ono
2025 J jnl
CrystalFramer: Rethinking the Role of Frames for SE(3)-Invariant Crystal Structure Modeling.
CoRR
Yusei Ito, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kanta Ono
2025 A* conf
Rethinking the role of frames for SE(3)-invariant crystal structure modeling.
ICLR
Yusei Ito, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kanta Ono
2024 A* conf
Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding.
ICLR
Tatsunori Taniai, Ryo Igarashi, Yuta Suzuki, Naoya Chiba, Kotaro Saito, Yoshitaka Ushiku, Kanta Ono
2024 J jnl
Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding.
CoRR
Tatsunori Taniai, Ryo Igarashi, Yuta Suzuki, Naoya Chiba, Kotaro Saito, Yoshitaka Ushiku, Kanta Ono
2024 J jnl
MaterialBENCH: Evaluating College-Level Materials Science Problem-Solving Abilities of Large Language Models.
CoRR
Michiko Yoshitake, Yuta Suzuki, Ryo Igarashi, Yoshitaka Ushiku, Keisuke Nagato
2024 J jnl
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery.
J. Data-centric Mach. Learn. Res.
Yoshitomo Matsubara, Naoya Chiba, Ryo Igarashi, Yoshitaka Ushiku
2023 J jnl
A Transformer Model for Symbolic Regression towards Scientific Discovery.
CoRR
Florian Lalande, Yoshitomo Matsubara, Naoya Chiba, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku
2023 J jnl
Analysis of Protein Folding Simulation with Moving Root Mean Square Deviation.
J. Chem. Inf. Model.
Yutaka Maruyama, Ryo Igarashi, Yoshitaka Ushiku, Ayori Mitsutake
2022 J jnl
Neural Structure Fields with Application to Crystal Structure Autoencoders.
CoRR
Naoya Chiba, Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kotaro Saito, Kanta Ono
2022 J jnl
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery.
CoRR
Yoshitomo Matsubara, Naoya Chiba, Ryo Igarashi, Tatsunori Taniai, Yoshitaka Ushiku
2017 J jnl
Updated core libraries of the ALPS project.
Comput. Phys. Commun.
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