Research
研究
研究業績
カテゴリー
研究領域
年
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World Models and Predictive Coding for Cognitive and Developmental Robotics
Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo
Frontiers and Challenges, Advanced Robotics, (2023)
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HAWK-Net: Hierarchical Attention Weighted Top-K Network for Megapixel Image Classification
Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo
IPSJ, (2023).
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Collective Intelligence for 2D Push Manipulations with Mobile Robots
So Kuroki, Tatsuya Matsushima, Jumpei Arima, Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang
RA-L, (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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深層生成モデルによる背景情報を利用したシーン解釈
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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Bayesian Neural Networkによる景気テキストの不確実性評価と景気指標の開発
山本裕樹, 鈴木雅大, 落合桂一, 松尾豊
情報処理学会論文誌, (2023).
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顔の角度情報を用いたDeepFake動画の検出手法の提案
蔭山智, 鈴木雅大, 落合桂一, 松尾豊
電子情報通信学会和文論文誌D, (2023).
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BRAES: Developing Brain Reference Architecture Editorial System for Accumulating Hypotheses on Neural Functionality
Yoshimasa Tawatsuji, Yuta Ashihara, Naoya Arakawa, Hiroshi Yamakawa
INCF Neuroinformatics Assembly, 517. September 2023
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BDBRA: Database for extracting descriptions of neural projections and brain regions from neuroscience literature with dialogue prompts
Yuta Ashihara, Hiroshi Yamakawa, Iriya Horiguchi, Yutaka Matsuo
Computational Neuroscience, P128. 2023.
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Robustifying Vision Transformer Without Retraining From Scratch Using Attention Based Test-Time Adaptation
Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
New Generation Computing, (2022).[paper]