Research
研究
研究業績
カテゴリー
研究領域
年
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Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo
International Conference on Machine Learning (ICML 2023). July 2023.
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End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization
Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
International Conference on Machine Learning (ICML 2023) July 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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Proposing a Database Extracting Anatomical Structures from Neuroscience Literature and Evaluating Its Information Credibility
Yuta Ashihara, Hiroshi Yamakawa, Iriya Horiguchi
INCF Neuroinformatics Assembly, 518.
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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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Proposal of a function-oriented SCID method for reverse engineering a wide range of brain regions
Hiroshi Yamakawa, Ayako Fukawa, Naoya Arakawa, Yoshimasa Tawatsuji, Yuta Ashihara , Yutaka Matsuo
Computational Neuroscience, P127. 2023
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“DreamSparse: Escaping from Plato’s Cave with 2D Frozen Diffusion Model given Sparse Views”
Paul Yoo, Jiaxian Guo, Xin Zhang, Yutaka Matsuo, Shixiang Shane Gu
XRNerf workshop of The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023). May 2023
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Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
Xin Zhang, Jiaxian Guo, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa
AI4CC workshop of The IEEE/CVF Conference on Computer Vision and Pattern Recognition
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A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, and Shixiang Shane Gu
International Conference on Learning Representations (ICLR2023, notable-top-25%)
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Interaction-Based Disentanglement of Entities for Object-Centric World Models
Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo.
“InteractioInternational Conference on Learning Representations (ICLR2023)