Research
研究
研究業績
カテゴリー
研究領域
年
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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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Generative Emergent Communication: Large Language Model is a Collective World Model
Tadahiro Taniguchi, Ryo Ueda, Tomoaki Nakamura, Masahiro Suzuki, Akira Taniguchi
Advanced Robotics, March 2026
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Verbal Representation of Object Collision Prediction Based on Physical Properties
Erika Kuroda, Ichiro Kobayashi
Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 29, No. 5, pp. 1190-1202, September 2025
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Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search
Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta.
Advances in Neural Information Processing Systems (NeurIPS 2025), December 2025
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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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Predictive Inference Models for Real-world Physical Environments
Erika Kuroda, Ichiro Kobayashi
Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 29, No. 3, pp. 456-468, May 2025
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Double Horizon Model-Based Policy Optimization
Akihiro Kubo, Paavo Parmas, Shin Ishii
Transactions on Machine Learning Research (TMLR), April 2025
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動的なマルチエージェント環境におけるモデルメディエータを利用したモデルベース強化学習
今井翔太, 岩澤有祐, 松尾豊
人工知能学会論文誌, Vol.38, No.5, (2023)
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自由エネルギー原理と深層学習─世界モデルを軸として─
鈴木 雅大
人工知能 Vol.38 No.6, p.796-804, 2023.
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Pixyz: a Python library for developing deep generative models
Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo: Pixyz
Advanced Robotics, (2023)