Research
Publications
Category
Research Area
Year
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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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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).
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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)
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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 “The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities”. Transactions on Machine Learning Research (TMLR). (*) Equal Contribution
Transactions on Machine Learning Research (TMLR)
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Multi-agent symbol emergence and latent representation learning by integration of Gaussian process latent variable models and neural networks
中村友昭, 鈴木雅大, 谷口彰, 谷口忠大
日本ロボット学会誌（レター）, (2024)
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Pixyz: a Python library for developing deep generative models
Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo: Pixyz
Advanced Robotics, (2023)
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Learning Global Spatial Information for Multi-View Object-Centric Models
Yuya Kobayashi, Masahiro Suzuki, Yutaka Matsuo
Advanced Robotics, (2023).
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Scene interpretation using background information from deep generative models
小林由弥, 鈴木雅大, 松尾豊
人工知能学会論文誌, 第38巻3号, (2023).
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Langevin Autoencoders for Learning Deep Latent Variable Models
Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo
Advances in Neural Information Processing Systems 35 (NeurIPS 2022).
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A survey of multimodal deep generative models
Masahiro Suzuki, Yutaka Matsuo
Advanced Robotics.(2022)