Morioka Hiroshi

モリオカヒロシ | Morioka Hiroshi

Affiliation and department：
Job title：特別研究員
Homepage URL (1)： https://sites.google.com/view/hiroshimorioka/

Research field (2)： Soft computing , Intelligent informatics

Research theme for competitive and other funds (8)：

2022 - 2025 非線形因果探索法の開発による脳内情報伝搬の理解
2022 - 2024 非線形階層表現学習による集団ナビゲーション数理構造の解明
2020 - 2024 非線形表現学習による大規模ネットワーク動的機能構造の解明
2019 - 2022 Predicting human behavior by combining brain and behavioral measurements
2019 - 2021 非線形ダイナミカル表現学習法の開発による脳の理解と予測

Show all

Papers (12)：

Aapo Hyvärinen, Ilyes Khemakhem, Hiroshi Morioka. Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning. Patterns. 2023. 4. 10. 100844-100844
Hiroshi Morioka, Aapo Hyvärinen. Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data. Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS). 2023. 3399-3426
Hiroshi Morioka, Hermanni Hälvä, Aapo Hyvärinen. Independent Innovation Analysis for Nonlinear Vector Autoregressive Process. Proceedings of The 24th International Conference on Artificial Intelligence and Statistics (AISTATS). 2021. 1549-1557
Hiroshi Morioka, Vince Calhoun, Aapo Hyvärinen. Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits. NeuroImage. 2020. 218. 116989-116989
Takashi Nishimoto, Hiroshi Higashi, Hiroshi Morioka, Shin Ishii. EEG-based personal identification method using unsupervised feature extraction and its robustness against intra-subject variability. Journal of Neural Engineering. 2020. 17. 2. 026007-026007

ｍore...

Patents (1)：

Lectures and oral presentations (7)：

Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data
(Workshop on Causal Representation Learning 2023)
Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning
(Brainstorming on Primate Connectome 2019 2019)
Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning
(2018 OHBM Annual Meeting 2018)
Individual Identification by Resting-State EEG Using Common Dictionary Learning
(The 26th International Conference on Artificial Neural Networks (ICANN2017) 2017)
Unsupervised feature extraction by time-contrastive learning from resting-state MEG data
(The 20th International Conference on Biomagnetism (BIOMAG2016) 2016)

ｍore...

Education (3)：

2011 - 2015 Kyoto University Graduate School of Informatics Department of Systems Science
2009 - 2011 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering Dept. of Computational Intelligence and Systems Science
2005 - 2009 Tokyo Institute of Technology School of Engineering Dept. of Control & Systems Engineering

Professional career (1)：

Work history (7)：

2023/04 - 現在 RIKEN Center for Advanced Intelligence Project Research scientist
2016/03 - 現在 Advanced Telecommunications Research Institute International (ATR) Cooperate Researcher
2019/04 - 2023/03 RIKEN Center for Advanced Intelligence Project Postdoctoral Researcher
2016/04 - 2019/03 Research Fellowship for Young Scientists (PD)
2017/01 - 2018/01 University College London (UCL) Visiting Research Fellow

Show all

Awards (2)：

2015/02 - 10th AEARU Workshop on Computer Science and Web Technology Best Poster Award
2011/09 - IEEE Robotics and Automation Society Japan Chapter Young Award

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page