Matsubara, Takashi

20 publications

ICLRW 2025 Image Interpolation with Score-Based Riemannian Metrics of Diffusion Models Shinnosuke Saito, Takashi Matsubara

AAAI 2025 Number Theoretic Accelerated Learning of Physics-Informed Neural Networks Takashi Matsubara, Takaharu Yaguchi

ICLR 2025 Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems Across Domains Razmik Arman Khosrovian, Takaharu Yaguchi, Hiroaki Yoshimura, Takashi Matsubara

CVPR 2024 Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models Kota Sueyoshi, Takashi Matsubara

NeurIPSW 2024 Transformer-Based Imagination with Slot Attention Yosuke Nishimoto, Takashi Matsubara

CVPR 2023 Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model Takehiro Aoshima, Takashi Matsubara

ICMLW 2023 Equivalence Class Learning for GENERIC Systems Baige Xu, Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi

ICLR 2023 FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities Takashi Matsubara, Takaharu Yaguchi

ICMLW 2023 Good Lattice Accelerates Physics-Informed Neural Networks Takashi Matsubara, Takaharu Yaguchi

ICMLW 2023 Variational Principle and Variational Integrators for Neural Symplectic Forms Yuhan Chen, Baige Xu, Takashi Matsubara, Takaharu Yaguchi

ECML-PKDD 2022 Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara

AAAI 2022 KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-Zero Training Loss Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi

NeurIPSW 2022 Nonlinear and Commutative Editing in Pretrained GAN Latent Space Takehiro Aoshima, Takashi Matsubara

ICMLW 2022 Toward Human Cognition-Inspired High-Level Decision Making for Hierarchical Reinforcement Learning Agents Rousslan Fernand Julien Dossa, Takashi Matsubara

NeurIPS 2021 Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi

NeurIPS 2021 Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi

NeurIPS 2020 Deep Energy-Based Modeling of Discrete-Time Physics Takashi Matsubara, Ai Ishikawa, Takaharu Yaguchi

ACML 2018 Hypernetwork-Based Implicit Posterior Estimation and Model Averaging of CNN Kenya Ukai, Takashi Matsubara, Kuniaki Uehara

ACML 2018 RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara

ACML 2017 Scale-Invariant Recognition by Weight-Shared CNNs in Parallel Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara