• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

MATSUBARA Takashi  松原 崇

… Alternative Names

Matsubara Takashi  松原 崇

Less
Researcher Number 70756197
Other IDs
  • ORCIDhttps://orcid.org/0000-0003-0642-4800
Affiliation (Current) 2025: 北海道大学, 情報科学研究院, 教授
Affiliation (based on the past Project Information) *help 2024: 北海道大学, 情報科学研究院, 教授
2022 – 2023: 大阪大学, 大学院基礎工学研究科, 准教授
2020 – 2021: 大阪大学, 基礎工学研究科, 准教授
2016 – 2019: 神戸大学, システム情報学研究科, 助教
2015 – 2016: 神戸大学, その他の研究科, 助教
Review Section/Research Field
Principal Investigator
Basic Section 61040:Soft computing-related / Basic Section 61030:Intelligent informatics-related / Intelligent informatics / Soft computing
Except Principal Investigator
Basic Section 61040:Soft computing-related / Basic Section 61030:Intelligent informatics-related / Multimedia database
Keywords
Principal Investigator
深層学習 / 機械学習 / ニューラルネットワーク / 非線形力学系 / 解釈可能性 / 異常検知 / 不確実性 / 電子回路 / 生成モデル / 生体神経細胞 / 人工ニューラルネットワーク / 非同期順序回路 / ゆらぎ … More
Except Principal Investigator
… More 深層学習 / 情報検索 / 機械学習 / 機能創発 / FPGA / 無線給電 / 無線通信 / 神経補綴 / TRECVID / 不確実性 / 表現学習 / 認知システム / 検索エンジン / マルチモーダル / 人間の認知システム / 映像検索手法 / 検索クエリ / 埋め込み / 再起型ニューラルネットワーク / マルチモーダルデータ検索エンジン / マルチモーダル検索 / aleatoric uncertainty / epistemic uncertainty / マルチモーダルデータ / 映像検索 / コーパス / 映像データ Less
  • Research Projects

    (7 results)
  • Research Products

    (153 results)
  • Co-Researchers

    (5 People)
  •  Development of Gray-Box Modeling Method of Nonlinear Dynamical Systems by Geometric Deep LearningPrincipal Investigator

    • Principal Investigator
      松原 崇
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 61040:Soft computing-related
    • Research Institution
      Hokkaido University
  •  Artificial FPGA EM Cell Network with Emergence Capability for Neural Prosthesis

    • Principal Investigator
      Torikai Hiroyuki
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61040:Soft computing-related
    • Research Institution
      Hosei University
  •  Uncertainty in Deep Learning for Undetstanding Data Mechanism and Anomaly DetectionPrincipal Investigator

    • Principal Investigator
      Matsubara Takashi
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      Osaka University
      Kobe University
  •  Development of Multimodal Data Retrieval Engine Based on Human Cognitive System

    • Principal Investigator
      Uehara Kuniaki
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      Osaka Gakuin University
      Kobe University
  •  Developing Generative Machine Learning and its Digital Circuit Implementation by Leveraging Neuronal Stochastic BehaviorPrincipal Investigator

    • Principal Investigator
      Matsubara Takashi
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Intelligent informatics
    • Research Institution
      Kobe University
  •  機械学習の知見を用いた生体神経系の学習メカニズムの解析とその機械学習応用Principal Investigator

    • Principal Investigator
      松原 崇
    • Project Period (FY)
      2015
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Research Field
      Soft computing
    • Research Institution
      Kobe University
  •  Development of video retrieval engine by using a large-scale video corpus

    • Principal Investigator
      Uehara Kuniaki
    • Project Period (FY)
      2014 – 2016
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Multimedia database
    • Research Institution
      Kobe University

All 2023 2022 2021 2020 2019 2018 2017 2016 2015

All Journal Article Presentation Patent

  • [Journal Article] The Symplectic Adjoint Method: Memory-Efficient Backpropagation of Neural-Network-Based Differential Equations2023

    • Author(s)
      Matsubara Takashi、Miyatake Yuto、Yaguchi Takaharu
    • Journal Title

      IEEE Transactions on Neural Networks and Learning Systems

      Volume: TBD Issue: 8 Pages: 1-13

    • DOI

      10.1109/tnnls.2023.3242345

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20344, KAKENHI-PROJECT-20H01822
  • [Journal Article] Topology-Aware Flow-Based Point Cloud Generation2023

    • Author(s)
      Takumi Kimura, Takashi Matsubara, and Kuniaki Uehara
    • Journal Title

      IEEE Transactions on Circuits and Systems for Video Technology

      Volume: 32 Issue: 11 Pages: 7967-7982

    • DOI

      10.1109/tcsvt.2022.3181212

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Journal Article] Multi-Modal Entity Alignment Using Uncertainty Quantification for Modality Importance2023

    • Author(s)
      Kenta Hama, and Takashi Matsubara
    • Journal Title

      IEEE Access

      Volume: 11 Pages: 28479-28489

    • DOI

      10.1109/access.2023.3259987

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04172, KAKENHI-PROJECT-19K20344
  • [Journal Article] Few-shot Anomaly Detection using Deep Generative Models for Grouped Data2022

    • Author(s)
      Kazuki Sato,Satoshi Nakata,Takashi Matsubara,Kuniaki Uehara
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E105.D Pages: 436-440

    • NAID

      130008149859

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Journal Article] Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data2022

    • Author(s)
      Kazuki Sato, Satoshi Nakata, Takashi Matsubara, and Kuniaki Uehara
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E105.D Issue: 2 Pages: 436-440

    • DOI

      10.1587/transinf.2021EDL8063

    • NAID

      130008149859

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2022-02-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Journal Article] Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task2021

    • Author(s)
      Kenta Hama, Takashi Matsubara, Kuniaki Uehara, and Jianfei Cai
    • Journal Title

      ACM Transactions on Multimedia Computing, Communications, and Applications

      Volume: -

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Journal Article] Target-Oriented Deformation of Visual-Semantic Embedding Space2021

    • Author(s)
      Takashi Matsubara
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E104.D Issue: 1 Pages: 24-33

    • DOI

      10.1587/transinf.2020MUP0003

    • NAID

      130007965145

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2021-01-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20344, KAKENHI-PROJECT-19H04172
  • [Journal Article] Neural Architecture Search for Convolutional Neural Networks with Attention2021

    • Author(s)
      Kohei Nakai, Takashi Matsubara, Kuniaki Uehara
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E104.D Issue: 2 Pages: 312-321

    • DOI

      10.1587/transinf.2020EDP7111

    • NAID

      130007979521

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2021-02-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20344, KAKENHI-PROJECT-19H04172
  • [Journal Article] Hybrid of Reinforcement and Imitation Learning for Human-Like Agents2020

    • Author(s)
      Rousslan F. J. Dossa, Xinyu Lian, Hirokazu Nomoto, Takashi Matsubara, Kuniaki Uehara
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E103.D Issue: 9 Pages: 1960-1970

    • DOI

      10.1587/transinf.2019edp7298

    • NAID

      130007894623

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Journal Article] Deep State-Space Model for Noise Tolerant Skeleton-Based Action Recognition2020

    • Author(s)
      Kazuki Kawamura, Takashi Matsubara, and Kuniaki Uehara
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E103.D Issue: 6 Pages: 1217-1225

    • DOI

      10.1587/transinf.2019MVP0012

    • NAID

      130007850086

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2020-06-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Journal Article] Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity2020

    • Author(s)
      Takashi Matsubara, Kazuki Sato, Kenta Hama, Ryosuke Tachibana, Kuniaki Uehara
    • Journal Title

      IEEE Transactions on Cybernetics

      Volume: - Issue: 6 Pages: 1-13

    • DOI

      10.1109/tcyb.2020.3027724

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K20344, KAKENHI-PROJECT-19H04172
  • [Journal Article] Deep State-Space Model for Noise Tolerant Skeleton-based Action Recognition2020

    • Author(s)
      Kazuki Kawamura, Takashi Matsubara, and Kuniaki Uehara
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: Vol.E103-D, No.06NaN Pages: 1-7

    • NAID

      130007850086

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Journal Article] Bayesian estimation and model averaging of convolutional neural networks by hypernetwork2019

    • Author(s)
      Kenya Ukai, Takashi Matsubara, and Kuniaki Uehara
    • Journal Title

      NOLTA

      Volume: 10 Issue: 1 Pages: 45-59

    • DOI

      10.1587/nolta.10.45

    • NAID

      130007542515

    • ISSN
      2185-4106
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Journal Article] Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis2019

    • Author(s)
      Takashi Matsubara, Tetsuo Tashiro, and Kuniaki Uehara
    • Journal Title

      IEEE Transactions on Biomedical Engineering

      Volume: - Issue: 10 Pages: 2768-2779

    • DOI

      10.1109/tbme.2019.2895663

    • NAID

      120006733117

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Journal Article] A Novel Weight-Shared Multi-Stage CNN for Scale Robustness2018

    • Author(s)
      Ryo Takahashi, Takashi Matsubara, and Kuniaki Uehara
    • Journal Title

      IEEE Transactions on Circuits and Systems for Video Technology

      Volume: 印刷中 Issue: 4 Pages: 1090-1101

    • DOI

      10.1109/tcsvt.2018.2822773

    • NAID

      120006733116

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Journal Article] Asynchronous network of cellular automaton-based neurons for efficient implementation of Boltzmann machines2018

    • Author(s)
      Matsubara Takashi、Uehara Kuniaki
    • Journal Title

      NOLTA

      Volume: 9 Issue: 1 Pages: 24-35

    • DOI

      10.1587/nolta.9.24

    • NAID

      130006301355

    • ISSN
      2185-4106
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Journal Article] Stock Price Prediction by Deep Neural Generative Model of News Articles2018

    • Author(s)
      Takashi MATSUBARA, Ryo AKITA, Kuniaki UEHARA
    • Journal Title

      IEICE TRANSACTIONS on Information and Systems

      Volume: E101-D Pages: 901-908

    • NAID

      130006602354

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Journal Article] Auto-encoder with Adversarially Regularized Latent Variables for Semi-Supervised Learning2017

    • Author(s)
      Ryosuke Tachibana, Takashi Matsubara, Kuniaki Uehara
    • Journal Title

      Information Engineering Express

      Volume: 3 Pages: 11-20

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Journal Article] Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns2017

    • Author(s)
      Matsubara Takashi
    • Journal Title

      Frontiers in Computational Neuroscience

      Volume: 11

    • DOI

      10.3389/fncom.2017.00104

    • NAID

      120006375913

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Journal Article] Deep Manga Colorization with Color Style Extraction by Conditional Adversarially Learned Inference2017

    • Author(s)
      Yusuke Kataoka, Takashi Matsubara, Kuniaki Uehara
    • Journal Title

      Information Engineering Express

      Volume: 3 Pages: 55-66

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Journal Article] Homeostatic Plasticity Achieved by Incorporation of Random Fluctuations and Soft-Bounded Hebbian Plasticity in Excitatory Synapses2016

    • Author(s)
      Takashi Matsubara and Kuniaki Uehara
    • Journal Title

      Frontiers in Neural Circuits

      Volume: 10 Pages: 1-17

    • DOI

      10.3389/fncir.2016.00042

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-26280040, KAKENHI-PROJECT-16K12487
  • [Journal Article] Deep Learning for Stock Prediction Using Numerical and Textual Information2016

    • Author(s)
      Ryo Akita, Akira Yoshihara, Takashi Matsubara, and Kuniaki Uehara
    • Journal Title

      International Journal of Computer & Information Science

      Volume: 17 Pages: 11-16

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Patent] 未知のデータにも再学習せずに適応できる異常検知アルゴリズム2020

    • Inventor(s)
      松原崇, 上原邦昭, 佐藤一輝, 中田智史
    • Industrial Property Rights Holder
      株式会社三菱ケミカルホールディングス, 国立大学法人大阪大学
    • Industrial Property Rights Type
      特許
    • Filing Date
      2020
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 深層生成モデルの潜在空間における可換な属性ベクトル場の学習2023

    • Author(s)
      青嶋雄大,松原崇
    • Organizer
      電子情報通信学会 複雑コミュニケーションサイエンス研究会
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Learning Attribute Curvilinear Coordinates for Pretrained Deep Generative Model2023

    • Author(s)
      Takehiro Aoshima, Takashi Matsubara
    • Organizer
      2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 距離情報を含む画像のセグメンテーションのための距離同変畳み込み2023

    • Author(s)
      丸茂英敬,松原崇
    • Organizer
      67回 システム制御情報学会 研究発表講演会 (SCI2023)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities2023

    • Author(s)
      Takashi Matsubara, Takaharu Yaguchi
    • Organizer
      The Eleventh International Conference on Learning Representations (ICLR2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Learning Attribute Curvilinear Coordinates for Pretrained Deep Generative Model2023

    • Author(s)
      Takehiro Aoshima, Takashi Matsubara
    • Organizer
      RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 深層生成モデルのための可換かつ非線形な画像編集2023

    • Author(s)
      青嶋雄大,松原崇
    • Organizer
      人工知能学会 全国大会 (JSAI2023)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 深層生成モデルの潜在空間における可換な属性ベクトル場の学習2023

    • Author(s)
      青嶋雄大,松原崇
    • Organizer
      電子情報通信学会 複雑コミュニケーションサイエンス研究会
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 逆熱拡散モデルによる医療画像セグメンテーション2023

    • Author(s)
      柏原悠,松原崇
    • Organizer
      電子情報通信学会 複雑コミュニケーションサイエンス研究会
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Inverse Heat Dissipation Model for Image Segmentation2023

    • Author(s)
      Yu Kashihara, Takashi Matsubara
    • Organizer
      RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Inverse Heat Dissipation Model for Image Segmentation2023

    • Author(s)
      Yu Kashihara, Takashi Matsubara
    • Organizer
      2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 逆熱拡散モデルによる医療画像セグメンテーション2023

    • Author(s)
      柏原悠,松原崇
    • Organizer
      電子情報通信学会 複雑コミュニケーションサイエンス研究会
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model2023

    • Author(s)
      Takehiro Aoshima, Takashi Matsubara
    • Organizer
      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] ANの潜在空間における非線形な属性座標系の学習2022

    • Author(s)
      青嶋雄大, 松原崇
    • Organizer
      25回情報論的学習理論ワークショップ (IBIS2022)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 拡散を使用しない拡散モデルによる異常検知2022

    • Author(s)
      柏原悠,松原崇
    • Organizer
      電子情報通信学会 NOLTAソサイエティ大会 2022
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] GANの意味空間における属性ベクトル場の学習2022

    • Author(s)
      青嶋雄大,松原崇
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会(IBISML)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] アンバランスを考慮した深層学習による物理系の学習 (Unbalance-Aware Deep Learning of Physical System)2022

    • Author(s)
      吉田崇人,谷口隆晴,松原崇
    • Organizer
      人工知能学会 全国大会 (JSAI2022)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 球面投射されたLiDAR点群のための距離同変畳み込み2022

    • Author(s)
      丸茂英敬,松原崇
    • Organizer
      電子情報通信学会 NOLTAソサイエティ大会 2022年
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Range-Equivariant Convolution for Spherical Projection-based Segmentation of LiDAR Point Clouds2022

    • Author(s)
      Hidetaka Marumo, Takashi Matsubara,
    • Organizer
      IEICE CCS (Complex Communication Sciences)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] ANの意味空間における属性ベクトル場の学習2022

    • Author(s)
      青嶋雄大,松原崇
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会(IBISML)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Nonlinear and Commutative Editing in Pretrained GAN Latent Space2022

    • Author(s)
      Takehiro Aoshima, Takashi Matsubara
    • Organizer
      NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Nonlinear and Commutative Editing in Pretrained GAN Latent Space2022

    • Author(s)
      Takehiro Aoshima, Takashi Matsubara
    • Organizer
      NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] DAR点群のセグメンテーションのための距離同変畳み込み2022

    • Author(s)
      丸茂英敬,松原崇
    • Organizer
      人工知能学会 全国大会 (JSAI2022)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 球面投射されたLiDAR点群のための距離同変畳み込み2022

    • Author(s)
      丸茂英敬,松原崇
    • Organizer
      電子情報通信学会 NOLTAソサイエティ大会 2022
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Toward Human Cognition-inspired High-Level Decision Making For Hierarchical Reinforcement Learning Agents2022

    • Author(s)
      Rousslan Fernand Julien Dossa, Takashi Matsubara
    • Organizer
      Decision Awareness in Reinforcement Learning at the Internal Conference on Machine Learning 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Imbalance-Aware Learning for Deep Physics Modeling2022

    • Author(s)
      Takahito Yoshida,Takaharu Yaguchi,Takashi Matsubara
    • Organizer
      ICLR2022 Workshop on AI for Earth and Space Science (ai4earth)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Kindai University, Osaka Gakuin University and Osaka University at TRECVID 2022 AVS Task2022

    • Author(s)
      Kimiaki Shirahama, Kazuma Fujioka, Taichi Shinno, Takashi Matsubara and Kuniaki Uehara
    • Organizer
      Proc. of TREC Video Retrieval Evaluation (TRECVID) 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] LiDAR点群のセグメンテーションのための距離同変畳み込み2022

    • Author(s)
      丸茂英敬,松原崇
    • Organizer
      人工知能学会 全国大会 (JSAI2022)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Toward Human Cognition-inspired High-Level Decision Making For Hierarchical Reinforcement Learning Agents2022

    • Author(s)
      Rousslan Fernand Julien Dossa, Takashi Matsubara
    • Organizer
      Proceedings of the Decision Awareness in Reinforcement Learning at the Internal Conference on Machine Learning 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 補足情報の重要性を考慮したマルチモーダル知識グラフ埋め込み2022

    • Author(s)
      濱健太, 松原崇
    • Organizer
      第25回情報論的学習理論ワークショップ (IBIS2022)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Application of Denoising Image Restoration to Anomaly Detection2022

    • Author(s)
      Yu Kashihara, Takashi Matsubara
    • Organizer
      2022 International Symposium on Nonlinear Theory and Its Applications (NOLTA2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 拡散モデルによる拡散を使用しない異常検知2022

    • Author(s)
      柏原悠,松原崇
    • Organizer
      人工知能学会 全国大会 (JSAI2022)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Common Space Learning with Gaussian Embedding for Multi-Modal Entity Alignment2022

    • Author(s)
      Kenta Hama, Takashi Matsubara
    • Organizer
      2022 International Symposium on Nonlinear Theory and Its Applications (NOLTA2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Common Space Learning with Gaussian Embedding for Multi-Modal Entity Alignment2022

    • Author(s)
      Kenta Hama, Takashi Matsubara
    • Organizer
      International Symposium on Nonlinear Theory and Its Applications (NOLTA2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Imbalance-aware lossを用いた深層学習による物理系の学習2022

    • Author(s)
      吉田崇人, 谷口隆晴, 松原崇
    • Organizer
      電子情報通信学会 NOLTAソサイエティ大会 2022年
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Evaluation of Industrial Anomaly Detection using Diffusion Model2022

    • Author(s)
      Yu Kashihara, Takashi Matsubara
    • Organizer
      IEICE CCS (Complex Communication Sciences)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 確率分布を用いたマルチモーダル知識グラフの共通空間学習2022

    • Author(s)
      濱健太,松原崇
    • Organizer
      人工知能学会 全国大会 (JSAI2022)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 拡散モデルによる拡散を使用しない異常検知 (Anomaly Detection using Diffusion Model without Diffusion)2022

    • Author(s)
      柏原悠,松原崇
    • Organizer
      人工知能学会 全国大会 (JSAI2022)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 補足情報の重要性を考慮したマルチモーダル知識グラフ埋め込み2022

    • Author(s)
      濱健太, 松原崇
    • Organizer
      25回情報論的学習理論ワークショップ (IBIS2022)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] GANの潜在空間における非線形な属性座標系の学習2022

    • Author(s)
      青嶋雄大, 松原崇
    • Organizer
      第25回情報論的学習理論ワークショップ (IBIS2022)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 拡散を使用しない拡散モデルによる異常検知2022

    • Author(s)
      柏原悠,松原崇
    • Organizer
      電子情報通信学会 NOLTAソサイエティ大会 2022年
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Application of Denoising Image Restoration to Anomaly Detection2022

    • Author(s)
      Yu Kashihara, Takashi Matsubara
    • Organizer
      International Symposium on Nonlinear Theory and Its Applications (NOLTA2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 確率分布を用いたマルチモーダル知識グラフの共通空間学習2022

    • Author(s)
      濱健太,松原崇
    • Organizer
      人工知能学会 全国大会 (JSAI2022)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] ChartPointFlow for Topology-Aware 3D Point Cloud Generation,2021

    • Author(s)
      Takumi Kimura, Takashi Matsubara, Kuniaki Uehara
    • Organizer
      Proc. of ACM International Conference of Multimedia
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory2021

    • Author(s)
      Takashi Matsubara,Yuto Miyatake,Takaharu Yaguchi
    • Organizer
      Advances in Neural Information Processing Systems 35 (NeurIPS2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 属性情報を分離したfMRI 画像の深層状態空間モデル2021

    • Author(s)
      草野航希,松原崇,上原邦昭
    • Organizer
      電子情報通信学会 医用画像研究会(MI2021)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] ChartPointFlow for Topology-Aware 3D Point Cloud Generation2021

    • Author(s)
      Takumi Kimura,Takashi Matsubara,Kuniaki Uehara
    • Organizer
      ACM International Conference on Multimedia (ACMMM)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Toward Human Cognition-inspired High-Level Decision Making For Hierarchical Reinforcement Learning Agents2021

    • Author(s)
      Rousslan Fern,Julien Dossa,Takashi Matsubara
    • Organizer
      The 2021 Nonlinear Science Workshop (NLSW2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Toward Human Cognition-inspired High-Level Decision Making For Hierarchical Reinforcement Learning Agents2021

    • Author(s)
      Rousslan Fernand Julien Dossa, Takashi Matsubara
    • Organizer
      NLSW 2021: Nonlinear Science Workshop
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Counterfactual Image Generation using GAN for Fairness2021

    • Author(s)
      綿岡晃輝, 松原崇, 上原邦昭
    • Organizer
      情報処理学会 コンピュータビジョンとイメージメディア研究会(CVIM2021)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] トポロジーを考慮した3次元点群深層生成モデル2021

    • Author(s)
      木村匠,松原崇,上原邦昭
    • Organizer
      情報処理学会 コンピュータビジョンとイメージメディア研究会(CVIM2021)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] ペア入力を用いた敵対的学習による医用画像スタイル変換2021

    • Author(s)
      藤岡和暉, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 医用画像研究会(MI2021)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Deep Discrete-Time Lagrangian Mechanics2021

    • Author(s)
      Takehiro Aoshima,Takashi Matsubara,Takaharu Yaguchi
    • Organizer
      ICLR2021 Workshop on Deep Learning for Simulation (SimDL)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 幾何学的構造を考慮した深層学習による3次元点群生成2021

    • Author(s)
      木村匠,松原崇,上原邦昭
    • Organizer
      Proc. of The 2021 Japanese Society for Artificial Intelligence (JSAI2021)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] トポロジーを考慮した3次元点群深層生成モデル2021

    • Author(s)
      木村匠,松原崇,上原邦昭
    • Organizer
      情報処理学会 コンピュータビジョンとイメージメディア研究会(CVIM2021)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Kindai University and Osaka Gakuin University and Osaka University at TRECVID 2021 AVS Task2021

    • Author(s)
      Kimiaki Shirahama, Takumi Sato, Norihiro Yamawaki, Takashi Matsubara and Kuniaki Uehara
    • Organizer
      Proc. of TREC Video Retrieval Evaluation (TRECVID 2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 属性情報を分離したfMRI 画像の深層状態空間モデル2021

    • Author(s)
      草野航希,松原崇,上原邦昭
    • Organizer
      医用画像研究会(MI2021)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] ペア入力を用いた敵対的学習による医用画像スタイル変換2021

    • Author(s)
      藤岡和暉, 松原崇, 上原邦昭
    • Organizer
      医用画像研究会(MI2021)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Counterfactual Image Generation using GAN for Fairness2021

    • Author(s)
      綿岡晃輝, 松原崇, 上原邦昭
    • Organizer
      情報処理学会 コンピュータビジョンとイメージメディア研究会(CVIM2021)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Att-DARTS: Differentiable Neural Architecture Search for Attention2020

    • Author(s)
      Kohei Nakai, Takashi Matsubara and Kuniaki Uehara
    • Organizer
      Proc. of The 2020 International Joint Conference on Neural Networks (IJCNN2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 敵対的攻撃に対する公平な分類器の脆弱性2020

    • Author(s)
      綿岡晃輝, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会総合大会講演論文集, D-12-7
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Neural ODEを用いた超解像ニューラルネットワークの高精度化2020

    • Author(s)
      木村匠, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会総合大会講演論文集
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Neural ODEを用いた超解像ニューラルネットワークの高精度化2020

    • Author(s)
      木村匠, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会総合大会講演論文集, N-1-26
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Att-DARTS: Differentiable Neural Architecture Search for Attention2020

    • Author(s)
      Kohei Nakai, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      The 2020 International Joint Conference on Neural Networks (IJCNN2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Att-DARTS: Differentiable Neural Architecture Search for Attention2020

    • Author(s)
      Kohei Nakai, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      Proc. of The 2020 International Joint Conference on Neural Networks (IJCNN2020)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 深層学習におけるモデルの信頼性評価指標の検討2020

    • Author(s)
      吉田和輝, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会総合大会講演論文集, N-1-27
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 敵対的攻撃に対する公平な分類器の脆弱性2020

    • Author(s)
      綿岡晃輝, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会総合大会講演論文集
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 遷移関数とスコア関数の分離による知識グラフの補完2020

    • Author(s)
      濱健太, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会, vol. 119, no. 476, IBISML2019-48, pp. 59-62
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 集合データの共通特徴抽出を利用したFew-shot異常検知2020

    • Author(s)
      佐藤 一輝,中田 智史,松原 崇,上原 邦昭
    • Organizer
      情報論的学習理論と機械学習研究会 (IBISML2020)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 注意機構を持った深層ニューラルネットワークの勾配探索2020

    • Author(s)
      中井 康平, 松原 崇, 上原 邦昭
    • Organizer
      Proc. of The 2020 Japanese Society for Artificial Intelligence (JSAI2020)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Deep Energy-Based Discrete-Time Physics2020

    • Author(s)
      Takashi Matsubara, Ai Ishikawa, Takaharu Yaguchi
    • Organizer
      Advances in Neural Information Processing Systems (NeurIPS)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 遷移関数とスコア関数の分離による知識グラフの補完2020

    • Author(s)
      濱健太, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 公平性により生じる敵対的攻撃に対する脆弱性2020

    • Author(s)
      綿岡晃輝, 松原 崇, 上原 邦昭
    • Organizer
      Proc. of The 2020 Japanese Society for Artificial Intelligence (JSAI2020)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 公平性が引き起こす敵対的攻撃に対する脆弱性2020

    • Author(s)
      綿岡晃輝, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会, vol. 119, no. 476, IBISML2019-48, pp .101-105
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 公平性が引き起こす敵対的攻撃に対する脆弱性2020

    • Author(s)
      綿岡晃輝, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] エネルギー保存則・散逸則を保証する深層物理シミュレーション2020

    • Author(s)
      松原崇, 石川歩惟, 谷口隆晴,
    • Organizer
      第23回情報論的学習理論ワークショップ (IBIS2020)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 画像データを対象とした異常検知の動向と今後の展望2020

    • Author(s)
      佐藤 一輝,松原 崇,上原 邦昭
    • Organizer
      電子情報通信学会 複雑コミュニケーションサイエンス研究会
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 深層学習におけるモデルの信頼性評価指標の検討2020

    • Author(s)
      吉田和輝, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会総合大会講演論文集
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Training Pedestrians' Detector Based on Hybrid Loss with Weak Annotations2020

    • Author(s)
      Boqian Zhou, Hirokazu Nomoto, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      Proc. of The 8th Korea-Japan Joint Workshop on Complex Communication Sciences (KJCCS)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Training Pedestrians' Detector Based on Hybrid Loss with Weak Annotations2020

    • Author(s)
      Boqian Zhou, Hirokazu Nomoto, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      The 8th Korea-Japan Joint Workshop on Complex Communication Sciences (KJCCS)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 知識グラフ上の経路クエリの横断評価モデル2020

    • Author(s)
      濱健太, 松原崇, 上原邦昭
    • Organizer
      Proc. of The 2020 Japanese Society for Artificial Intelligence (JSAI2020)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 公平性により生じる敵対的攻撃に対する脆弱性2020

    • Author(s)
      綿岡晃輝, 松原 崇, 上原 邦昭
    • Organizer
      第34回人工知能学会全国大会(JSAI2020)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 集合データの共通特徴抽出を利用したFew-shot異常検知2020

    • Author(s)
      佐藤 一輝,中田 智史,松原 崇,上原 邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会 (IBISML2020)
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] Att-DARTS: Differentiable Neural Architecture Search for Attention2020

    • Author(s)
      Kohei Nakai, Takashi Matsubara and Kuniaki Uehara
    • Organizer
      The 2020 International Joint Conference on Neural Networks (IJCNN2020),
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 注意機構を持った深層ニューラルネットワークの勾配探索2020

    • Author(s)
      中井 康平, 松原 崇, 上原 邦昭
    • Organizer
      第34回人工知能学会全国大会(JSAI2020)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 知識グラフ上の経路クエリの横断評価モデル2020

    • Author(s)
      濱健太, 松原崇, 上原邦昭
    • Organizer
      第34回人工知能学会全国大会(JSAI2020)
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 画像データを対象とした異常検知の動向と今後の展望2020

    • Author(s)
      佐藤 一輝,松原 崇,上原 邦昭
    • Organizer
      複雑コミュニケーションサイエンス研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Kindai University and Osaka Gakuin University at TRECVID 2020 AVS and ActEV Tasks2020

    • Author(s)
      Daiki Mukai, Ryosuke Utsunomiya, Shunsuke Utsuki, Kimiaki Shirahama, Takashi Matsubara and Kuniaki Uehara
    • Organizer
      Proc. of TREC Video Retrieval Evaluation (TRECVID 2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] ベイズ的深層学習を用いた画像テキスト検索における信頼性評価2019

    • Author(s)
      濱健太, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 深層教師なし異常部分検知のための偶然的不確実さを考慮した異常度2019

    • Author(s)
      佐藤一輝, 濱健太, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] Kindai University and Kobe University at TRECVID 2019 AVS Task2019

    • Author(s)
      Kimiaki Shirahama, Daichi Sakurai, Takashi Matsubara and Kuniaki Uehara
    • Organizer
      Proc. of TREC Video Retrieval Evaluation (TRECVID) 2019 Workshop
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 深層特権属性モデルによるfMRI画像に基づく精神疾患診断2019

    • Author(s)
      草野航希, 田代哲生, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 ニューロコンピューティング研究会
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 自動運転向け物体検出システムのための敵対的昼夜変換2019

    • Author(s)
      藤岡和暉, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会, vol. 119, no. 89, IBISML2019-2, pp. 9-14
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 属性を考慮した深層生成モデルによるfMRI画像に基づく精神疾患診断2019

    • Author(s)
      草野航希, 田代哲生, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会技術研究報告 複雑コミュニケーションサイエンス研究会
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] ベイズ的深層学習を用いた画像テキスト検索における信頼性評価2019

    • Author(s)
      濱健太, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会, vol. 119, no. 89, IBISML2019-1, pp. 1-8
    • Data Source
      KAKENHI-PROJECT-19H04172
  • [Presentation] 自動運転向け物体検出システムのための敵対的昼夜変換2019

    • Author(s)
      藤岡和暉, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] データセットシフト下における深層学習の確信度の較正2019

    • Author(s)
      吉田和輝, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会技術研究報告 複雑コミュニケーションサイエンス研究会
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] 偶然的不確実性に頑健な深層教師なし欠陥領域セグメンテーション2019

    • Author(s)
      佐藤一輝, 濱健太, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会技術研究報告 複雑コミュニケーションサイエンス研究会
    • Data Source
      KAKENHI-PROJECT-19K20344
  • [Presentation] CNN のフィルタを生成するサブネットワークによるサイズ可変なCNN2018

    • Author(s)
      鵜飼健矢,松原崇,上原邦昭
    • Organizer
      電子情報通信学会総合大会講演論文集
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] 深層生成モデルの構造化によるfMRI画像からの特徴抽出2018

    • Author(s)
      田代哲生, 松原崇, 上原邦昭
    • Organizer
      複雑コミュニケーションサイエンス研究会
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] 多様な仮想空間を構築するための画像モダリティ変換2018

    • Author(s)
      益田慎太, 松原崇, 上原邦昭
    • Organizer
      第32回人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] 深層生成モデルによる非正則化異常度を用いた工業製品の異常検知2018

    • Author(s)
      立花亮介, 松原崇, 上原邦昭
    • Organizer
      第32回人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] ハイパーネットによる畳み込みニューラルネットワークの暗黙的事後分布推定2018

    • Author(s)
      鵜飼健矢, 松原崇, 上原邦昭
    • Organizer
      複雑コミュニケーションサイエンス研究会
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Structured Deep Generative Model of FMRI Signals for Mental Disorder Diagnosis2018

    • Author(s)
      Takashi Matsubara, Tetsuo Tashiro, and Kuniaki Uehara
    • Organizer
      Medical Image Computing and Computer Assisted Intervention
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] 構造化深層生成モデルによるfMRI画像を用いた精神疾患診断2018

    • Author(s)
      田代哲生, 松原崇, 上原邦昭
    • Organizer
      第32回人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] ハイパーネットによる識別モデルのベイズ推定とモデル平均化2018

    • Author(s)
      鵜飼健矢, 松原崇, 上原邦昭
    • Organizer
      第32回人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] 非正規化異常度を用いた深層生成モデルによる工業製品の異常検知2018

    • Author(s)
      立花亮介,松原崇,上原邦昭
    • Organizer
      電子情報通信学会総合大会講演論文集
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score2018

    • Author(s)
      Takashi Matsubara, Ryosuke Tachibana, and Kuniaki Uehara
    • Organizer
      Proc. of The 2018 International Joint Conference on Neural Networks (IJCNN2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] 深層生成モデルによるfMRIデータの患者個人特徴量抽出とそれを用いた精神疾患診断2018

    • Author(s)
      松原崇,田代哲生,上原邦昭
    • Organizer
      第5回 JAMI医用知能情報学研究会-JSAI医用人工知能研究会 合同研究会
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Feedback Alignmentに基づく自己符号化器のヘブ則様学習アルゴリズムの検討2017

    • Author(s)
      松原崇
    • Organizer
      電子情報通信学会技術研究報告 複雑コミュニケーションサイエンス研究会
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Developing Game AI Agent Behaving Like Human by Mixing Reinforcement Learning and Supervised Learning2017

    • Author(s)
      Shohei Miyashita, Xinyu Lian, Xiao Zeng, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      Proc. of The 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Spike Timing-Dependent Conduction Delay Learning Model Classifying Spatio-Temporal Spike Patterns2017

    • Author(s)
      Takashi Matsubara
    • Organizer
      Proc. of The 2017 International Joint Conference on Neural Networks (IJCNN2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Deep Neural Generative Model for fMRI Image Based Diagnosis of Mental Disorder2017

    • Author(s)
      Tetsuo Tashiro, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      Proc. of The 2017 International Symposium on Nonlinear Theory and its Applications (NOLTA2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Automatic Manga Colorization with Color Style by Generative Adversarial Nets2017

    • Author(s)
      Yuusuke Kataoka, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      Proc. of The 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] スパイク時刻依存遅延学習モデルによるスパイク列の学習2017

    • Author(s)
      松原崇
    • Organizer
      電子情報通信学会総合大会講演論文集
    • Place of Presentation
      名城大学(愛知県名古屋市)
    • Year and Date
      2017-03-22
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] 脳機能画像解析のための深層生成モデル2017

    • Author(s)
      田代哲生,松原崇,上原邦昭
    • Organizer
      2017年度 第30回人工知能学会全国大会 (JSAI2017)
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Scale-Invariant Recognition by Weight-Shared CNNs in Parallel2017

    • Author(s)
      Ryo Takahashi, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      Proc. of The 9th Asian Conference on Machine Learning (ACML 2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Spike Timing-Dependent Conduction Delay Learning Model Classifying Spatio-Temporal Spike Patterns2017

    • Author(s)
      Takashi Matsubara
    • Organizer
      The 2017 International Joint Conference on Neural Networks (IJCNN2017)
    • Place of Presentation
      Anchorage, Alaska
    • Year and Date
      2017-05-15
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Multi-Stage Convolutional Neural Networks for Robustness to Scale Transformation2017

    • Author(s)
      Ryo Takahashi, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      Proc. of The 2017 International Symposium on Nonlinear Theory and its Applications (NOLTA2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] 深層学習における敵対的ネットワークを用いた漫画画像の自動カラー化2017

    • Author(s)
      片岡裕介, 松原崇, 上原邦昭
    • Organizer
      情報処理学会 コンピュータビジョンとイメージメディア研究会
    • Place of Presentation
      国立情報学研究所(東京)
    • Year and Date
      2017-03-09
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] 幾何学的不変性獲得のための多段CNNの提案2017

    • Author(s)
      高橋良,松原崇,上原邦昭
    • Organizer
      2017年度 第30回人工知能学会全国大会 (JSAI2017)
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Semi-Supervised Learning Using Adversarial Networks2016

    • Author(s)
      Ryosuke Tachibana, Takashi Matsubara, Kuniaki Uehara
    • Organizer
      Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science
    • Place of Presentation
      岡山コンベンションセンター(岡山県岡山市)
    • Year and Date
      2016-06-26
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280040
  • [Presentation] 深層学習における敵対的ネットワークによるラベル推定と半教師あり学習2016

    • Author(s)
      立花亮介, 松原崇, 上原邦昭
    • Organizer
      第30回人工知能学会全国大会 (JSAI2016)
    • Place of Presentation
      北九州国際会議場(福岡県北九州市)
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Efficient Implementation of Boltzmann Machine using Asynchronous Network of Cellular Automaton-based Neurons2016

    • Author(s)
      Takashi Matsubara and Kuniaki Uehara
    • Organizer
      The 2016 International Symposium on Nonlinear Theory and its Applications (NOLTA2016)
    • Place of Presentation
      Yugawara, Japan
    • Year and Date
      2016-11-30
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Image Generation Using Generative Adversarial Networks and Attention Mechanism2016

    • Author(s)
      Yuusuke Kataoka, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      the 15th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2016)
    • Place of Presentation
      Okayama, Japan
    • Year and Date
      2016-06-28
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] 深層学習における敵対的ネットワークと注視を用いた画像生成の試み2016

    • Author(s)
      片岡裕介, 松原崇, 上原邦昭
    • Organizer
      第30回人工知能学会全国大会 (JSAI2016)
    • Place of Presentation
      北九州国際会議場(福岡県北九州市)
    • Year and Date
      2016-06-06
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] A Novel Homeostatic Plasticity Model Realized by Random Fluctuations in Excitatory Synapses2016

    • Author(s)
      Takashi Matsubara and Kuniaki Uehara
    • Organizer
      The 2016 International Joint Conference on Neural Networks (IJCNN2016)
    • Place of Presentation
      Vancouver, Canada
    • Year and Date
      2016-07-25
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Semi-Supervised Learning Using Adversarial Networks2016

    • Author(s)
      Ryosuke Tachibana, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      the 15th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2016)
    • Place of Presentation
      Okayama, Japan
    • Year and Date
      2016-06-28
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] 神経パルス信号と高次可塑性を用いた深層学習システムの構築2016

    • Author(s)
      小西創, 松原崇, 上原邦昭
    • Organizer
      第30回人工知能学会全国大会 (JSAI2016)
    • Place of Presentation
      北九州国際会議場(福岡県北九州市)
    • Year and Date
      2016-06-06
    • Data Source
      KAKENHI-PROJECT-16K12487
  • [Presentation] Image Generation Using Generative Adversarial Networks and Attention Mechanism2016

    • Author(s)
      Yuusuke Kataoka, Takashi Matsubara, Kuniaki Uehara
    • Organizer
      Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science
    • Place of Presentation
      岡山コンベンションセンター(岡山県岡山市)
    • Year and Date
      2016-06-26
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280040
  • [Presentation] The STDP with Fluctuations Agrees with the Changes and the Distributions of the Synaptic Weights2015

    • Author(s)
      Takashi Matsubara and Kuniaki Uehara
    • Organizer
      The 2015 International Symposium on Nonlinear Theory and its Applications
    • Place of Presentation
      Hong Kong
    • Year and Date
      2015-12-01
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H06395
  • 1.  Uehara Kuniaki (60160206)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 61 results
  • 2.  白浜 公章 (30467675)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 4 results
  • 3.  Torikai Hiroyuki (20318603)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  若宮 直紀 (50283742)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  関屋 大雄 (20334203)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

URL: 

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi