Research
Publications
Category
Research Area
Year
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A Review of the Science of Team Science: Data Sources, Research Methods, Disciplinary Characteristics, and Research Topics
Rui Liu, Yi Zhao, Eunji Jeon, Yi Bu, Irene Li, Yongjun Zhu
Journal of Informetrics, 2026
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Enhancing Unimodal Latent Representations in Multimodal VAEs through Iterative Amortized Inference
Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo
New Generation Computing (NGC), 2026
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Offline-Trained GAN-Augmented Highly Adaptive Control with Multi-DoF Fusion for Pneumatic Soft Surgical Robots
Yuxi Lu, Zhongchao Zhou*, Yanmin Zhou, Zhipeng Wang, Shuo Jiang, Wenwei Yu, Bin He (*Corresponding author)
IEEE Transactions on Automation Science and Engineering (T-ASE), 2025
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Improving Reference Image Replication for Tuning-Free Personalized Image Generation
大坂洋豊, 鈴木雅大, 松尾豊
情報処理学会論文誌
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A Systematic Analysis of Factuality Bias in Large-Scale Image Language Models
冨山翔司、山下佳威、 鈴木雅大、 落合桂一、松尾豊
情報処理学会論文誌
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Efficient Object-Centric Representation Learning using Masked Generative Modeling
Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo
Transactions on Machine Learning Research (TMLR), 2025
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Proposal of a multimodal translation method based on the usage of images at the summary level.
冨山翔司, 味曽野雅史, 鈴木雅大, 落合桂一, 岩澤有祐, 松尾豊
知能と情報
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The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities
Manato Yaguchi*, Kotaro Sakamoto*, Ryosuke Sakamoto*, Masato Tanabe*, Masatomo Akagawa*, Yusuke Hayashi*, Masahiro Suzuki, Yutaka Matsuo (*Equal Contribution)
Transactions on Machine Learning Research (TMLR), 2025
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Disappearance of Timestep Embedding: A Case Study on Neural ODE and Diffusion Models
Bum Jun Kim, Yoshinobu Kawahara, Sang Woo Kim
Transactions on Machine Learning Research (TMLR)
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Continual Pre-training on Character-Level Noisy Texts Makes Decoder-based Language Models Robust Few-shot Learners
Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
Transactions of the Association for Computational Linguistics (TACL)