Research keywords (5)：
Deep Learning
, Machine Learning
, Geometric deep learning
, Scientific machine learning
, Bayesian deep learning
Research theme for competitive and other funds (21)：
2024 - 2030 Operator Learning by Geometric Classical Field Theory and Infinite Dimensional Data Science
2024 - 2028 Foundation of Scientific Machine Learning by Geometric Deep Learning
2024 - 2027 Development of Gray-Box Modeling Method of Nonlinear Dynamical Systems by Geometric Deep Learning
2024 - 2027 Deep Scientific Computing: integration of physical structure and deep learning through mathematical science
2023 - 2025 Integrated AI by Geometric Deep Learning Bridging Science and Data
2021 - 2025 Geometric Deep Learning for Ensuring Desired Properties by Design
2020 - 2025 Engineerable AI Techniques for Practical Applications of High-Quality Machine Learning-based Systems.
2019 - 2025 Structure-Preserving System Modeling and Simulation Basis Based on Geometric Discrete Mechanics
2023 - 2024 Development of AI that Can Learn the Behavior of Living Organisms and Extract their Behavioral Rules
2021 - 2024 神経補綴のための機能創発するFPGA万能神経細胞ネットワーク
2019 - 2023 Development of Multimodal Data Retrieval Engine Based on Human Cognitive System
2019 - 2023 Uncertainty in Deep Learning for Undetstanding Data Mechanism and Anomaly Detection
2017 - 2021 Development of Technology for Integrating Heterogeneous Environmental Data Us- ing Hierarchical Deep Learning and its Social Application Infrastructure
2018 - 2020 形式手法を用いたデータ駆動階層型管理システムの設計
2016 - 2019 Developing Generative Machine Learning and its Digital Circuit Implementation by Leveraging Neuronal Stochastic Behavior
2014 - 2017 Development of video retrieval engine by using a large-scale video corpus
Razmik Arman Khosrovian, Takaharu Yaguchi, Takashi Matsubara. Port-Hamiltonian Neural Networks for Learning Coupled Systems and Their Interactions. NeurIPS 2024 Workshop on Machine Learning and the Physical Sciences. 2024
Yosuke Nishimoto, Takashi Matsubara. Transformer-based Imagination with Slot Attention. NeurIPS 2024 Workshop on Compositional Learning. 2024
Keigo Tsutsui, Phuoc Thanh Tran-Ngoc, Hirotaka Sato, Takashi Matsubara. Deep Dynamics Modeling of Interactions in Collective Behaviors of Insects. Proc. of 2024 International Symposium on Nonlinear Theory and Its Applications (NOLTA2024). 2024
Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi. The Symplectic Adjoint Method: Memory-Efficient Backpropagation of Neural-Network-Based Differential Equations. IEEE Transactions on Neural Networks and Learning Systems. 2024. 35. 8. 10526-10538
Takahito Yoshida, Takaharu Yaguchi, Takashi Matsubara. Loss Function for Deep Learning to Model Dynamical Systems. IEICE Transactions on Information and Systems. 2024. vol. E107-D. no. 11
Learning the Dynamics and Connectivity of Coupled Systems via Port-Hamiltonian Neural Networks
(REMODEL-DSC Workshop on Machine Learning and Physics 2024)
Operator Learning of Hamiltonian Density for Modeling Nonlinear Waves
(International Conference on Scientific Computation and Differential Equations (SciCADE) 2024)
2013 - 2015 Osaka University Graduate School of Engineering Science Doctral program
2011 - 2013 Osaka University Graduate School of Engineering Science Master's program
2007 - 2011 Osaka University School of Engineering Science
Professional career (2)：
Master of Engineering (Osaka University)
Ph.D. in Engineering (Osaka University)
Work history (9)：
2024/04 - 現在 Hokkaido University Faculty of Information Science and Technology Professor
2024/04 - 現在 Osaka University Graduate School of Engineering Science Guest Professor
2015/04 - 現在 National Institute of Information and Communications Technology Center for Information and Neural Networks Senior Visiting Researcher
2020/04 - 2024/03 Osaka University Department of Systems Innovation, Graduate School of Engineering Science Associate Professor
2021/10 - 2022/03 Japan Science and Technology Agency PRESRO Researcher
2015/04 - 2020/03 Kobe University Department of Computational Science, Graduate School of System Informatics Assistant Professor
2018/09 - 2018/11 Nanyang Technological University School of Computer Science and Engineering Visiting Researcher
2013/06 - 2015/03 National Institute of Information and Communications Technology Center for Information and Neural Networks Cooperative Visiting Researcher
2013/04 - 2015/03 Japan Society for the Promotion of Science Research Fellowship for Young Scientists (DC1)
2022/03 - Strategic Information and Communications R&D Promotion Programme (SCOPE), Ministry of Internal Affairs and Communications (MIC) Research and Development Award
2022/01 - Information-Based Induction Sciences (IBIS) Workshop Best Presentation Award Deep Generative Model with Topological Structures for 3D Point Coulds
2021/01 - Information-Based Induction Sciences (IBIS) Workshop Presentation Award Deep Physics Simulation that Guarantees Energy Conservation and Dissipation Laws
2020/08 - Japan Society for Artificial Intelligence JSAI Annual Conference Award A Model for Traversing and Scoring Path Queries in Knowledge Graphs
2019/01 - The 7th Japan-Korea Joint Workshop on Complex Communication Sciences (JKCCS) Best Paper Award Image-Caption Retrieval with Evaluating Uncertainties
2018/07 - Japan Society for Artificial Intelligence JSAI Annual Conference Award Anomaly Manufacturing Product Detection using Unregularized Anomaly Score on Deep Generative Models
2017/06 - Technical Committee on Complex Communication Sciences, Institute of Electronics, Information and Communication Engineers (IEICE) The Incentive Award Spike Timing-Dependent Delay Learning Model and Unsupervised Learning
2014/03 - Information and Communication Engineers (IEICE) The Young Researchers’ Award of Engineering Science Society Reproduction of Neural Response Characteristics by Asynchronous Cellular Automaton
Show all
Association Membership(s) (4)：
International Neural Network Society (INNS)
, Institute of Electrical and Electronics Engineers (IEEE)
, Japanese Society for Artificial Intelligence (JSAI)
, Institute of Electronics, Information and Communication Engineers (IEICE)
