Research

研究

研究業績

カテゴリー

研究領域

  • Enhancing Dermoscopic Image Generation via Multi-Modal Conditional Diffusion Models

    Yun Jiang, Yarong Jin, Tao Sun, Huanting Guo, Zequn Zhang, Yuhang Li, Qian Niu

    Neurocomputing, 2026

  • 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

  • Enhancing Unimodal Latent Representations in Multimodal VAEs through Iterative Amortized Inference

    Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo

    New Generation Computing (NGC), 2026

  • 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)

  • パーソナライズ画像生成における参照画像の複製効果の定量的評価と改善

    大坂洋豊, 鈴木雅大, 松尾豊

    情報処理学会論文誌, 2025

  • 大規模画像言語モデルにおける事実性バイアスの体系的な分析

    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

  • Efficient Object-Centric Representation Learning using Masked Generative Modeling

    Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo

    Transactions on Machine Learning Research (TMLR), 2025

  • サマリレベルでの画像の利用法を用いたマルチモーダル翻訳手法の提案

    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

  • 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

  • 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), 2025