Razmik Arman Khosrovian, Takaharu Yaguchi, Hiroaki Yoshimura, Takashi Matsubara. Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains. Proc. of The Thirteenth International Conference on Learning Representations (ICLR2025). 2025
Takashi Matsubara, Takaharu Yaguchi. Number Theoretic Accelerated Learning of Physics-Informed Neural Networks. Proc. of The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI2025). 2025
Takashi Matsubara, Takehiro Aoshima, Ai Ishikawa, Takaharu Yaguchi. Deep Energy-Based Discrete-Time Physical Model for Reproducing Energetic Behavior. IEEE Transactions on Neural Networks and Learning Systems. 2025
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
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)
2019/01 - The 7th Japan-Korea Joint Workshop on Complex Communication Sciences (JKCCS) Best Paper Award Image-Caption Retrieval with Evaluating Uncertainties
