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Research on whiteboxing deep learning

Research Project

Project/Area Number 18H04106
Research Category

Grant-in-Aid for Scientific Research (A)

Allocation TypeSingle-year Grants
Section一般
Review Section Medium-sized Section 61:Human informatics and related fields
Research InstitutionThe University of Tokyo

Principal Investigator

Okada Masato  東京大学, 大学院新領域創成科学研究科, 教授 (90233345)

Co-Investigator(Kenkyū-buntansha) 永田 賢二  国立研究開発法人物質・材料研究機構, 統合型材料開発・情報基盤部門, 主任研究員 (10556062)
楽 詠コウ  青山学院大学, 理工学部, 准教授 (30612923)
庄野 逸  電気通信大学, 大学院情報理工学研究科, 教授 (50263231)
Project Period (FY) 2018-04-01 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥43,680,000 (Direct Cost: ¥33,600,000、Indirect Cost: ¥10,080,000)
Fiscal Year 2022: ¥7,930,000 (Direct Cost: ¥6,100,000、Indirect Cost: ¥1,830,000)
Fiscal Year 2021: ¥7,930,000 (Direct Cost: ¥6,100,000、Indirect Cost: ¥1,830,000)
Fiscal Year 2020: ¥7,930,000 (Direct Cost: ¥6,100,000、Indirect Cost: ¥1,830,000)
Fiscal Year 2019: ¥10,660,000 (Direct Cost: ¥8,200,000、Indirect Cost: ¥2,460,000)
Fiscal Year 2018: ¥9,230,000 (Direct Cost: ¥7,100,000、Indirect Cost: ¥2,130,000)
Keywordsディープラーニング / ニューラルネット / 機械学習 / ホワイトボックス化 / 深層学習畳み込みニューラルネットワーク / 人工知能 / 情報統計力学 / 統計神経力学 / データ駆動科学 / 神経科学 / 視覚野 / 神経回路モデル / データ駆動 / 深層生成モデル / データ駆動的アプローチ / ダイナミクスと内部表現 / 特異統計学 / ニューラルネットワーク / 深層ネット / 情報統計力学と特異統計学
Outline of Final Research Achievements

The most serious problem of deep learning (DL) is that its functionality is a black box. In this research project, we develop an informatics and mathematical framework to elucidate the behavior of DL and a data-driven approach to complement it. As for the mathematical framework, we have shown that the plateau phenomenon originating from singular regions can be reduced or eliminated by using a statistical mechanics formulation. In the data-driven approach, we have achieved some results by comparing the input responses of two CNNs using transfer learning and data expansion, and by analyzing the continuity of representations in the brain cortex as a method to improve prediction performance, especially under the limitation of a small data set.

Academic Significance and Societal Importance of the Research Achievements

ディープラーニング (DL)の最も大きな問題点は,その機能がブラックボックス化していることである.本研究課題では,DLの挙動を解明する情報数理学的枠組みの構築と,それを補完するデータ駆動型アプローチを構築した.本研究では,まず情報統計力学,統計神経力学,特異統計学など第二次ニューロブームを契機に発展した情報数理的な枠組みを,現状のDLに適用する..さらに,解析的取り扱いができないDLに対しその際には,解析的結果が得られているDLに対しても,データ駆動型アプローチで取り扱い,解析的アプローチとデータ駆動型アプローチを融合した.

Report

(6 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Annual Research Report
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • Research Products

    (72 results)

All 2023 2022 2021 2020 2019 2018

All Journal Article (26 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 23 results,  Open Access: 11 results) Presentation (45 results) (of which Int'l Joint Research: 17 results) Book (1 results)

  • [Journal Article] Adversarial Training with Knowledge Distillation Considering Intermediate Representations in CNNs2023

    • Author(s)
      Higuchi Hikaru、Suzuki Satoshi、Shouno Hayaru
    • Journal Title

      ICONIP2022

      Volume: - Pages: 683-691

    • DOI

      10.1007/978-981-99-1639-9_57

    • ISBN
      9789819916382, 9789819916399
    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Fracture mode classification by texture analysis of fracture surface scanning electron microscope images2022

    • Author(s)
      Endo Akihiro、Furuya Yoshiyuki、Nagata Kenji、Yoshikawa Hideki、Shouno Hayaru
    • Journal Title

      Science and Technology of Advanced Materials: Methods

      Volume: 2 Issue: 1 Pages: 129-138

    • DOI

      10.1080/27660400.2022.2065185

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations2022

    • Author(s)
      Suzuki Satoshi、Takeda Shoichiro、Makishima Naoki、Ando Atsushi、Masumura Ryo、Shouno Hayaru
    • Journal Title

      IEEE Access

      Volume: 10 Pages: 68384-68396

    • DOI

      10.1109/access.2022.3186101

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Stroke Transfer: Example-based Synthesis of Animatable Stroke Styles2022

    • Author(s)
      Todo Hideki、Kobayashi Kunihiko、Katsuragi Jin、Shimotahira Haruna、Kaji Shizuo、Yue Yonghao
    • Journal Title

      SIGGRAPH2022

      Volume: 54 Pages: 1-10

    • DOI

      10.1145/3528233.3530703

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Recurrent Connections Might Be Important for Hierarchical Categorization2022

    • Author(s)
      Matsumoto Narihisa、Taguchi Yusuke、Shimizu Masaumi、Katakami Shun、Okada Masato、Sugase-Miyamoto Yasuko
    • Journal Title

      Frontiers in Systems Neuroscience

      Volume: 16 Pages: 805990-805990

    • DOI

      10.3389/fnsys.2022.805990

    • Related Report
      2022 Annual Research Report 2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Deep Feature Compression using Spatio-Temporal Arrangement toward Collaborative Intelligent World2021

    • Author(s)
      Suzuki Satoshi、Takeda Shoichiro、Takagi Motohiro、Tanida Ryuichi、Kimata Hideaki、Shouno Hayaru
    • Journal Title

      IEEE Transactions on Circuits and Systems for Video Technology

      Volume: - Issue: 6 Pages: 1-1

    • DOI

      10.1109/tcsvt.2021.3107716

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Measuring Shift-Invariance of Convolutional Neural Network with a Probability-Incorporated Metric2021

    • Author(s)
      Higuchi Hikaru、Suzuki Satoshi、Shouno Hayaru
    • Journal Title

      In Proc. ICONIP’21

      Volume: - Pages: 719-728

    • DOI

      10.1007/978-3-030-92307-5_84

    • ISBN
      9783030923068, 9783030923075
    • Related Report
      2021 Annual Research Report
  • [Journal Article] Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-Limited Situation2021

    • Author(s)
      Suzuki Satoshi、Takeda Shoichiro、Tanida Ryuichi、Kimata Hideaki、Shouno Hayaru
    • Journal Title

      2021 IEEE International Conference on Image Processing (ICIP)

      Volume: - Pages: 864-868

    • DOI

      10.1109/icip42928.2021.9506696

    • Related Report
      2021 Annual Research Report
  • [Journal Article] User interfaces for high-dimensional design problems2021

    • Author(s)
      Yue Yonghao、Koyama Yuki、Sato Issei、Igarashi Takeo
    • Journal Title

      SIGGRAPH '21: ACM SIGGRAPH 2021 Courses

      Volume: 11 Pages: 1-34

    • DOI

      10.1145/3450508.3464551

    • Related Report
      2021 Annual Research Report
  • [Journal Article] Texture Analysis of Magnetic Domain Images Using Statistics Based on Human Visual Perception2021

    • Author(s)
      Murakami Ryo、Mizumaki Masaichiro、Hamano Yusuke、Akai Ichiro、Shouno Hayaru
    • Journal Title

      Journal of the Physical Society of Japan

      Volume: 90 Issue: 4 Pages: 044705-044705

    • DOI

      10.7566/jpsj.90.044705

    • NAID

      40022539093

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Comparison of neuronal responses in primate inferior-temporal cortex and feed-forward deep neural network model with regard to information processing of faces2021

    • Author(s)
      Matsumoto Narihisa、Mototake Yoh-ichi、Kawano Kenji、Okada Masato、Sugase-Miyamoto Yasuko
    • Journal Title

      Journal of Computational Neuroscience

      Volume: - Issue: 3 Pages: 1-7

    • DOI

      10.1007/s10827-021-00778-5

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Development of multiple core-level XPS spectra decomposition method based on the Bayesian information criterion2020

    • Author(s)
      Murakami Ryo、Tanaka Hiromi、Shinotsuka Hiroshi、Nagata Kenji、Shouno Hayaru、Yoshikawa Hideki
    • Journal Title

      Journal of Electron Spectroscopy and Related Phenomena

      Volume: 245 Pages: 147003-147003

    • DOI

      10.1016/j.elspec.2020.147003

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Development of spectral decomposition based on Bayesian information criterion with estimation of confidence interval2020

    • Author(s)
      Shinotsuka Hiroshi、Nagata Kenji、Yoshikawa Hideki、Mototake Yoh-Ichi、Shouno Hayaru、Okada Masato
    • Journal Title

      Science and Technology of Advanced Materials

      Volume: 21 Issue: 1 Pages: 402-419

    • DOI

      10.1080/14686996.2020.1773210

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Collective dynamics of repeated inference in variational autoencoder rapidly find cluster structure2020

    • Author(s)
      Nagano Yoshihiro、Karakida Ryo、Okada Masato
    • Journal Title

      Scientific Reports

      Volume: 10 Issue: 1

    • DOI

      10.1038/s41598-020-72593-4

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Human-in-the-loop differential subspace search in high-dimensional latent space2020

    • Author(s)
      Chiu Chia-Hsing、Koyama Yuki、Lai Yu-Chi、Igarashi Takeo、Yue Yonghao
    • Journal Title

      ACM Transactions on Graphics

      Volume: 39 Issue: 4

    • DOI

      10.1145/3386569.3392409

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Ordered Subsets EM algorithm for PET Image Reconstruction by use of Dictionary Learning and TV Regularization2019

    • Author(s)
      奥村 直裕、庄野 逸
    • Journal Title

      Medical Imaging Technology

      Volume: 37 Issue: 5 Pages: 217-229

    • DOI

      10.11409/mit.37.217

    • NAID

      130007752682

    • ISSN
      0288-450X, 2185-3193
    • Year and Date
      2019-11-25
    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Data-Dependence of Plateau Phenomenon in Learning with Neural Network---Statistical Mechanical Analysis.2019

    • Author(s)
      Yoshida, Yuki, and Masato Okada
    • Journal Title

      In Advances in Neural Information Processing Systems

      Volume: 32 Pages: 1722-1730

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Impact of Layer Normalization on Single-Layer Perceptron ― Statistical Mechanical Analysis2019

    • Author(s)
      Shiro Takagi, Yuki Yoshida and Masato Okada
    • Journal Title

      Journal of the Physical Society of Japan

      Volume: 88 Issue: 7 Pages: 1-6

    • DOI

      10.7566/jpsj.88.074003

    • NAID

      40021949306

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Ising Model Parameter Estimation with Confidence Evaluation Using the Exchange Monte Carlo Method2019

    • Author(s)
      Koki Obinata, Shun Katakami, Yonghao Yue and Masato Okada
    • Journal Title

      Journal of the Physical Society of Japan

      Volume: 88 Issue: 6 Pages: 1-7

    • DOI

      10.7566/jpsj.88.064802

    • NAID

      40021915386

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] レプリカ交換モンテカルロ法を用いたMixture of Expertsモデルにおけるベイズ推論2019

    • Author(s)
      松平京介,永田賢二,本武陽一,岡田真人
    • Journal Title

      情報処理学会論文誌数理モデル化と応用 (TOM)

      Volume: 12(3) Pages: 37-45

    • NAID

      170000181263

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Bolassoを用いたびまん性肺疾患画像の特徴選択2019

    • Author(s)
      遠藤瑛泰, 永田賢二, 木戸尚治, & 庄野逸
    • Journal Title

      情報処理学会論文誌数理モデル化と応用 (TOM)

      Volume: 12(3) Pages: 68-77

    • NAID

      170000181266

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] ベイズ的変数選択に基づく分光スペクトル分解2019

    • Author(s)
      川島 貴大 , 庄野 逸
    • Journal Title

      情報処理学会論文誌数理モデル化と応用(TOM)

      Volume: 12(2) Pages: 34-43

    • NAID

      170000150459

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] B-DCGAN: Evaluation of Binarized DCGAN for FPGA2019

    • Author(s)
      Hideo Terada, Hayaru Shouno
    • Journal Title

      In Proc. International Conference on Neural Information Processing (ICONIP2019), Lecture Notes in Computer Science

      Volume: 11953 Pages: 55-64

    • DOI

      10.1007/978-3-030-36708-4_5

    • ISBN
      9783030367077, 9783030367084
    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Fast Bayesian Restoration of Poisson Corruputed Images with INLA2019

    • Author(s)
      Takahiro Kawashima, Hayaru Shouno
    • Journal Title

      In Proc. International Conference on Parallel Distributed Processing Techniques and Applications(PDPTA) 2019

      Volume: 1 Pages: 109-114

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Statistical mechanical analysis of learning dynamics of two-layer perceptron with multiple output units2019

    • Author(s)
      Yuki Yoshida, Ryo Karakida, Masato Okada and Shun-ichi Amari
    • Journal Title

      Journal of Physics A: Mathematical and Theoretical

      Volume: 52 Issue: 18 Pages: 1-17

    • DOI

      10.1088/1751-8121/ab0669

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer―An Application for Diffuse Lung Disease Classification2018

    • Author(s)
      Aiga Suzuki, Hidenori Sakanashi, Shoji Kido, Hayaru Shouno
    • Journal Title

      情報処理学会論文誌数理モデル化と応用(TOM)

      Volume: 11 Pages: 74-83

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Presentation] Adversarial Training with Knowledge Distillation Considering Intermediate Representations in CNNs2023

    • Author(s)
      Higuchi Hikaru、Suzuki Satoshi、Shouno Hayaru
    • Organizer
      ICONIP2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] マカクザル側頭葉TE野ニューロンの顔表面特性の表現2023

    • Author(s)
      塩谷佳介
    • Organizer
      日本物理学会2023年春季大会
    • Related Report
      2022 Annual Research Report
  • [Presentation] Stroke Transfer: Example-based Synthesis of Animatable Stroke Styles2022

    • Author(s)
      Todo Hideki、Kobayashi Kunihiko、Katsuragi Jin、Shimotahira Haruna、Kaji Shizuo、Yue Yonghao
    • Organizer
      SIGGRAPH2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 顔反応ニューロンがコードする分類情報と受容野面積の関係2021

    • Author(s)
      塩谷佳介, 片上舜, 林和子, 松田圭司, 松本有央, 赤穂昭太郎, 河野憲二, 岡田真人, 菅生康子
    • Organizer
      東京理科大学 パラレル脳センシング技術研究部門 主催 第1回公開シンポジウム 「Think Synch Brain Dynamics ~理工が挑む脳科学~」
    • Related Report
      2021 Annual Research Report
  • [Presentation] 階層的カテゴリー分類におけるリカレント結合の重要性2021

    • Author(s)
      清水将海, 片上舜, 田口優介, 岡田真人, 菅生康子, 松本有央
    • Organizer
      東京理科大学 パラレル脳センシング技術研究部門 主催 第1回公開シンポジウム 「Think Synch Brain Dynamics ~理工が挑む脳科学~」
    • Related Report
      2021 Annual Research Report
  • [Presentation] 霊長類側頭皮質の顔反応ニューロンにおける画像分類情報と受容野面積の関係2021

    • Author(s)
      塩谷佳介, 片上舜, 林和子, 松田圭司, 松本有央, 赤穂昭太郎, 河野憲二, 岡田真人, 菅生康子
    • Organizer
      物理学会第77回年次大会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 階層的カテゴリー化における再帰的ネットワークの重要性2021

    • Author(s)
      清水将海, 片上舜, 田口優介, 岡田真人, 菅生康子, 松本有央
    • Organizer
      物理学会第77回年次大会
    • Related Report
      2021 Annual Research Report
  • [Presentation] Measuring Shift-invariance of Convolutional Neural Network with a Probability-incorporated Metric2021

    • Author(s)
      Hikaru Higuchi, Satoshi Suzuki, Hayaru Shouno,
    • Organizer
      ICONIP’21
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-Limited Situation2021

    • Author(s)
      Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Hideaki Kimata, Hayaru Shouno
    • Organizer
      ICIP’21
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] User interfaces for high-dimensional design problems: from theories to implementations2021

    • Author(s)
      Yonghao Yue, Yuki Koyama, Issei Sato, Takeo Igarashi.
    • Organizer
      ACM SIGGRAPH 2021 Courses
    • Related Report
      2021 Annual Research Report
  • [Presentation] 生徒教師学習を用いた継続学習の破滅的忘却に関する統計力学的解析2020

    • Author(s)
      浅沼 遥香,高木 志郎, 長野 祥大, 吉田 雄紀, 五十嵐 康彦, 岡田 真人
    • Organizer
      ニューロコンピューティング研究会 (NC)
    • Related Report
      2020 Annual Research Report
  • [Presentation] Bayesian Sparse Covariance Structure Analysis for Correlated Count Data2020

    • Author(s)
      Sho Ichigozaki, Takahiro Kawashima, Hayaru Shouno
    • Organizer
      Intl. Conf on Parallel and Distributed Processing Techniques and Applications(PDPTA'20)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields2020

    • Author(s)
      Genta Kobayashi, Hayaru Shouno
    • Organizer
      Intl. Conf on Parallel and Distributed Processing Techniques and Applications(PDPTA'20)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Analysis of Texture Representation in Convolution Neural Network Using Wavelet Based Joint Statistics.2020

    • Author(s)
      Yusuke Hamano, Hayaru Shouno
    • Organizer
      Intl.Conf. on Neural Information Processing (ICONIP) Lecture Notes in Computer Science, Proc. of ICONIP'20
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization2020

    • Author(s)
      Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino
    • Organizer
      In Proc. 35th AAAI Conference on Artificial Intelligence (AAAI-21)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] スパース推定を用いた潜在的な犯罪の高リスクエリアの推定と犯罪発生メカニズムの考察2020

    • Author(s)
      一期﨑 翔,川島 貴大,庄野 逸
    • 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
    • Related Report
      2019 Annual Research Report
  • [Presentation] スパースコーディングを用いた惑星表面画像のための圧縮手法の提案2020

    • Author(s)
      上坂 佳史,庄野 逸
    • 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
    • Related Report
      2019 Annual Research Report
  • [Presentation] The effect of learning rates on model-agnostic meta-learning2019

    • Author(s)
      Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida, Masato Okada
    • Organizer
      ACML 2019 Workshop on Statistics & Machine Learning Researchers in Japan
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Model-agnostic meta-learning の収束と学習率の関係2019

    • Author(s)
      高木志郎,吉田雄紀,岡田真人
    • Organizer
      第22回情報論的学習理論ワークショップ(IBIS2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] On the conditions of MAML convergence2019

    • Author(s)
      Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida, Masato Okada
    • Organizer
      NeurIPS 2019 workshop on Meta-Learning
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Batch Normalizationつき3層ニューラルネットワークの学習ダイナミクスの統計力学的定式化2019

    • Author(s)
      高木志郎,吉田雄紀,岡田真人
    • Organizer
      2019年度人工知能学会全国大会
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Learning Locally Structured Dataset with Gradient-Based Meta-Learning2019

    • Author(s)
      Yoshihiro Nagano, Shiro Takagi, Yuki Yoshida, Masato Okada
    • Organizer
      ACML 2019 Workshop on Statistics & Machine Learning Researchers in Japan
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Localized Generations with Self-Supervised Meta-Learning2019

    • Author(s)
      Yoshihiro Nagano, Shiro Takagi, Yuki Yoshida, Masato Okada
    • Organizer
      NeurIPS 2019 workshop on Learning with Rich Experience: Integration of Learning Paradigms
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] メタ学習を利用した深層ニューラルネットワークによる局所的生成2019

    • Author(s)
      長野祥大,高木志郎,吉田雄紀,岡田真人
    • Organizer
      第22回情報論的学習理論ワークショップ(IBIS2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis2019

    • Author(s)
      Yuki Yoshida, Masato Okada
    • Organizer
      NeurIPS 2019
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] B-DCGAN: Evaluation of Binarized DCGAN for FPGA2019

    • Author(s)
      Hideo Terada, Hayaru Shouno
    • Organizer
      International Conference on Neural Information Processing (ICONIP2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Fast Bayesian Restoration of Poisson Corruputed Images with INLA2019

    • Author(s)
      Takahiro Kawashima, Hayaru Shouno
    • Organizer
      International Conference on Parallel Distributed Processing Techniques and Applications(PDPTA) 2019
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Portilla-Simoncelli staisticsを用いたDCNNのテクスチャ表現解析2019

    • Author(s)
      浜野 佑介,庄野 逸
    • Organizer
      第22回情報論的学習理論ワークショップ(IBIS2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] グラフィカルモデルを用いた犯罪発生リスクエリアのスパース性を考慮した相関関係の可視化2019

    • Author(s)
      一期﨑 翔,川島 貴大,庄野 逸
    • Organizer
      第22回情報論的学習理論ワークショップ(IBIS2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 識別と再構成を行う マルチタスク ベクトル量子化 VAE2019

    • Author(s)
      小林 源太,庄野 逸
    • Organizer
      第22回情報論的学習理論ワークショップ(IBIS2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Analysis of Diffuse Lung Disease X-ray CT Images based on Feature Selection using Bolasso2019

    • Author(s)
      遠藤 瑛泰,永田 賢二,木戸 尚治,庄野 逸
    • Organizer
      第29回 日本神経回路学会全国大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Implementation of an FPGA-based energy-efficient MCMC method for 2D Lenz-Ising mode2019

    • Author(s)
      Patrick Tchicali, Hayaru Shouno
    • 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
    • Related Report
      2019 Annual Research Report
  • [Presentation] Bolasso特徴選択手法を用いたびまん性肺疾患陰影の分析2019

    • Author(s)
      遠藤 瑛泰,永田 賢二,木戸 尚治,庄野 逸
    • 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
    • Related Report
      2019 Annual Research Report
  • [Presentation] Bolassoを用いたびまん性肺疾患画像の特徴選択2019

    • Author(s)
      遠藤 瑛泰,永田 賢二,木戸 尚治,庄野 逸
    • Organizer
      情報処理学会 数理モデル化と問題解決研究会
    • Related Report
      2019 Annual Research Report
  • [Presentation] VGGモデルの視覚野的解釈における解析の検討2019

    • Author(s)
      寺元 陶冶,庄野 逸
    • 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
    • Related Report
      2018 Annual Research Report
  • [Presentation] テクスチャ画像識別問題に対するフーリエ変換を用いたデータ拡張の検討2019

    • Author(s)
      新田 大悟,庄野 逸
    • 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
    • Related Report
      2018 Annual Research Report
  • [Presentation] SVCCAを用いた異なるデータセットで訓練されたDCNNの類似性測定2019

    • Author(s)
      寺元 陶冶,庄野 逸
    • 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
    • Related Report
      2018 Annual Research Report
  • [Presentation] Layer Normalizationが単層パーセプトロンに与える影響の統計力学的解析2019

    • Author(s)
      高木志郎,吉田雄紀,岡田真人
    • Organizer
      日本物理学会第74回年次大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 交換モンテカルロ法を用いたイジングモデルパラメータの信頼度付き推定2019

    • Author(s)
      大日方 孝輝,片上 舜,楽 詠こう,岡田 真人
    • Organizer
      日本物理学会第74回年次大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] レプリカ交換モンテカルロ法を用いたMixture of Expertsモデルにおけるベイズ推論2019

    • Author(s)
      松平京介,永田賢二,本武陽一,岡田真人
    • Organizer
      情報処理学会 数理モデル化と問題解決(MPS)研究会
    • Related Report
      2018 Annual Research Report
  • [Presentation] Mosquito Larva Classification based on a Convolution Neural Network2018

    • Author(s)
      Alejandra Sanchez, Mariko Nakano, Henrik Tunnermann, Toya Teramoto, Hayaru Shouno
    • Organizer
      International Conference on Parallel Distributed Processing Techniques and Applications (PDPTA) 2018
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 問題への適切性を考慮した畳み込みニューラルネットワークの初期値決定手法2018

    • Author(s)
      鈴木 藍雅,庄野 逸,坂無 英徳
    • Organizer
      情報処理学会数理モデル化と問題解決研究会
    • Related Report
      2018 Annual Research Report
  • [Presentation] Layer Normalization を用いた単層パーセプトロンの統計力学的解析2018

    • Author(s)
      高木志郎,吉田雄紀,岡田真人
    • Organizer
      第21回情報論的学習理論ワークショップ
    • Related Report
      2018 Annual Research Report
  • [Presentation] 交換モンテカルロ法を用いた二値画像に対するハイパーパラメータ分布推定2018

    • Author(s)
      大日方 孝輝,片上 舜,楽 詠こう,岡田 真人
    • 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)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 混合正規分布モデルにおけるベイズ推定と変分ベイズ推定の比較2018

    • Author(s)
      中山智文,藤井直樹,永田賢二,岡田真人
    • Organizer
      第21回情報論的学習理論ワークショップ
    • Related Report
      2018 Annual Research Report
  • [Book] Deep Learning in Healthcare, Chapter: Deep Learning in Textural Medical Image Analysis2019

    • Author(s)
      Suzuki, Aiga and Sakanashi, Hidenori and Kido, Shoji and Shouno, Hayaru
    • Total Pages
      218
    • Publisher
      Springer
    • ISBN
      9783030326067
    • Related Report
      2019 Annual Research Report

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Published: 2018-04-23   Modified: 2024-01-30  

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