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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.

    • BRAES: Developing a 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

    • Proposing a Database Extracting Anatomical Structures from Neuroscience Literature and Evaluating Its Information Credibility

      Yuta Ashihara, Hiroshi Yamakawa, Iriya Horiguchi

      INCF Neuroinformatics Assembly, 518.

    • 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.

    • 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

    • “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

    • 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

    • 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%)

    • Interaction-Based Disentanglement of Entities for Object-Centric World Models

      Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo.

      “InteractioInternational Conference on Learning Representations (ICLR2023)

    • DiffusER: Diffusion via Edit-based Reconstruction

      Machel Reid, Vincent Josua Hellendoorn, Graham Neubig

      International Conference on Learning Representations (ICLR2023)