Research
Publications
Category
Research Area
Year
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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)
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Neuro-SERKET:Development of Integrative Cognitive System Through the Composition of Deep Probabilistic Generative Models
Tadahiro Taniguchi, Tomoaki Nakamura, Masahiro Suzuki, Ryo Kuniyasu, Kaede Hayashi, Akira Taniguchi, Takato Horii & Takayuki Nagai, Neuro-SERKET
New Generation Computing, (2020)
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JSAI2020 Student Incentive Award, “Continuous Learning Based on Amortized Reasoning.”
川島 寛乃，河野 慎，熊谷 亘, 松井 孝太，中澤 仁
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JSAI2019 Student Incentive Award: “Generative Query Networks as Meta-Learning”
谷口尚平, 岩澤有祐, 松尾豊（受賞者：谷口尚平）
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Semi-supervised Multimodal Learning with Deep Generative Models
鈴木雅大, 松尾豊
情報処理学会論文誌, Vol. 59, No. 12 (2018)