Takashi Matsubara

88 papers A* 11A 1B 11C 8Journal 51Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks. CoRR Haohui Jia, Zheng Chen, Lingwei Zhu, Rikuto Kotoge, Jathurshan Pradeepkumar, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai, Takashi Matsubara
2026	A*	`conf`	Object-Centric World Models for Causality-Aware Reinforcement Learning. AAAI Yosuke Nishimoto, Takashi Matsubara
2026	J	`jnl`	RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs. CoRR Haohui Jia, Zheng Chen, Lingwei Zhu, Xu Cao, Yasuko Matsubara, Takashi Matsubara, Yasushi Sakurai
2025	J	`jnl`	Be Tangential to Manifold: Discovering Riemannian Metric for Diffusion Models. CoRR Shinnosuke Saito, Takashi Matsubara
2025	J	`jnl`	Deep Energy-Based Discrete-Time Physical Model for Reproducing Energetic Behavior. IEEE Trans. Neural Networks Learn. Syst. Takashi Matsubara, Takehiro Aoshima, Ai Ishikawa, Takaharu Yaguchi
2025	J	`jnl`	Image Interpolation with Score-based Riemannian Metrics of Diffusion Models. CoRR Shinnosuke Saito, Takashi Matsubara
2025	J	`jnl`	Learning Hamiltonian Density Using DeepONet. CoRR Baige Xu, Yusuke Tanaka, Takashi Matsubara, Takaharu Yaguchi
2025	A*	`conf`	Number Theoretic Accelerated Learning of Physics-Informed Neural Networks. AAAI Takashi Matsubara, Takaharu Yaguchi
2025	J	`jnl`	Object-Centric World Models for Causality-Aware Reinforcement Learning. CoRR Yosuke Nishimoto, Takashi Matsubara
2025	J	`jnl`	PHyCLIP: ℓ CoRR Daiki Yoshikawa, Takashi Matsubara
2025	A*	`conf`	Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains. ICLR Razmik Arman Khosrovian, Takaharu Yaguchi, Hiroaki Yoshimura, Takashi Matsubara
2024	J	`jnl`	Loss Function for Deep Learning to Model Dynamical Systems. IEICE Trans. Inf. Syst. Takahito Yoshida, Takaharu Yaguchi, Takashi Matsubara
2024	J	`jnl`	Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains. CoRR Razmik Arman Khosrovian, Takaharu Yaguchi, Hiroaki Yoshimura, Takashi Matsubara
2024	A*	`conf`	Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models. CVPR Kota Sueyoshi, Takashi Matsubara
2024	J	`jnl`	The Symplectic Adjoint Method: Memory-Efficient Backpropagation of Neural-Network-Based Differential Equations. IEEE Trans. Neural Networks Learn. Syst. Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
2023	A	`conf`	A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning. SDM Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara
2023	A*	`conf`	Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model. CVPR Takehiro Aoshima, Takashi Matsubara
2023	A*	`conf`	FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities. ICLR Takashi Matsubara, Takaharu Yaguchi
2023	J	`jnl`	Good Lattice Training: Physics-Informed Neural Networks Accelerated by Number Theory. CoRR Takashi Matsubara, Takaharu Yaguchi
2023	J	`jnl`	Inverse Heat Dissipation Model for Medical Image Segmentation. IEICE Trans. Inf. Syst. Yu Kashihara, Takashi Matsubara
2023	J	`jnl`	Learning vector quantized representation for cancer subtypes identification. Comput. Methods Programs Biomed. Zheng Chen, Ziwei Yang, Lingwei Zhu, Peng Gao, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin
2023	J	`jnl`	Multi-Modal Entity Alignment Using Uncertainty Quantification for Modality Importance. IEEE Access Kenta Hama, Takashi Matsubara
2023	J	`jnl`	Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models. CoRR Kota Sueyoshi, Takashi Matsubara
2022	—	`conf`	Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. ECML/PKDD (1) Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara
2022	J	`jnl`	Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. CoRR Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara
2022	J	`jnl`	Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder. CoRR Zheng Chen, Ziwei Yang, Lingwei Zhu, Guang Shi, Kun Yue, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin
2022	J	`jnl`	Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model. CoRR Takehiro Aoshima, Takashi Matsubara
2022	J	`jnl`	Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity. IEEE Trans. Cybern. Takashi Matsubara, Kazuki Sato, Kenta Hama, Ryosuke Tachibana, Kuniaki Uehara
2022	J	`jnl`	FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities. CoRR Takashi Matsubara, Takaharu Yaguchi
2022	J	`jnl`	Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data. IEICE Trans. Inf. Syst. Kazuki Sato, Satoshi Nakata, Takashi Matsubara, Kuniaki Uehara
2022	A*	`conf`	KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss. AAAI Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
2022	J	`jnl`	Topology-Aware Flow-Based Point Cloud Generation. IEEE Trans. Circuits Syst. Video Technol. Takumi Kimura, Takashi Matsubara, Kuniaki Uehara
2021	J	`jnl`	An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization. IEEE Access Rousslan Fernand Julien Dossa, Shengyi Huang, Santiago Ontañón, Takashi Matsubara
2021	J	`jnl`	An Error Analysis Framework for Neural Network Modeling of Dynamical Systems. CoRR Shunpei Terakawa, Takashi Matsubara, Takaharu Yaguchi
2021	A*	`conf`	ChartPointFlow for Topology-Aware 3D Point Cloud Generation. ACM Multimedia Takumi Kimura, Takashi Matsubara, Kuniaki Uehara
2021	J	`jnl`	Deep Generative Model of Individual Variability in fMRI Images of Psychiatric Patients. IEEE Trans. Biomed. Eng. Takashi Matsubara, Koki Kusano, Tetsuo Tashiro, Kenya Ukai, Kuniaki Uehara
2021	J	`jnl`	Exploring Uncertainty Measures for Image-caption Embedding-and-retrieval Task. ACM Trans. Multim. Comput. Commun. Appl. Kenta Hama, Takashi Matsubara, Kuniaki Uehara, Jianfei Cai
2021	J	`jnl`	Neural Architecture Search for Convolutional Neural Networks with Attention. IEICE Trans. Inf. Syst. Kohei Nakai, Takashi Matsubara, Kuniaki Uehara
2021	A*	`conf`	Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems. NeurIPS Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
2021	A*	`conf`	Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. NeurIPS Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
2021	J	`jnl`	Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. CoRR Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
2021	J	`jnl`	Target-Oriented Deformation of Visual-Semantic Embedding Space. IEICE Trans. Inf. Syst. Takashi Matsubara
2021	J	`jnl`	Universal Approximation Properties of Neural Networks for Energy-Based Physical Systems. CoRR Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
2020	B	`conf`	Att-DARTS: Differentiable Neural Architecture Search for Attention. IJCNN Kohei Nakai, Takashi Matsubara, Kuniaki Uehara
2020	J	`jnl`	ChartPointFlow for Topology-Aware 3D Point Cloud Generation. CoRR Takumi Kimura, Takashi Matsubara, Kuniaki Uehara
2020	J	`jnl`	Data Augmentation Using Random Image Cropping and Patching for Deep CNNs. IEEE Trans. Circuits Syst. Video Technol. Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
2020	A*	`conf`	Deep Energy-based Modeling of Discrete-Time Physics. NeurIPS Takashi Matsubara, Ai Ishikawa, Takaharu Yaguchi
2020	J	`jnl`	Deep State-Space Model for Noise Tolerant Skeleton-Based Action Recognition. IEICE Trans. Inf. Syst. Kazuki Kawamura, Takashi Matsubara, Kuniaki Uehara
2020	J	`jnl`	Hybrid of Reinforcement and Imitation Learning for Human-Like Agents. IEICE Trans. Inf. Syst. Rousslan Fernand Julien Dossa, Xinyu Lian, Hirokazu Nomoto, Takashi Matsubara, Kuniaki Uehara
2020	—	`conf`	Kindai University and Osaka Gakuin University at TRECVID 2020 AVS and ActEV Tasks. TRECVID Daiki Mukai, Ryosuke Utsunomiya, Shunsuke Utsuki, Kimiaki Shirahama, Takashi Matsubara, Kuniaki Uehara
2019	B	`conf`	A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning. IJCNN Rousslan Fernand Julien Dossa, Xinyu Lian, Hirokazu Nomoto, Takashi Matsubara, Kuniaki Uehara
2019	J	`jnl`	A Novel Weight-Shared Multi-Stage CNN for Scale Robustness. IEEE Trans. Circuits Syst. Video Technol. Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
2019	B	`conf`	Deep Generative State-Space Modeling of FMRI Images for Psychiatric Disorder Diagnosis. IJCNN Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara
2019	J	`jnl`	Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis. IEEE Trans. Biomed. Eng. Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara
2019	J	`jnl`	Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task. CoRR Kenta Hama, Takashi Matsubara, Kuniaki Uehara, Jianfei Cai
2019	J	`jnl`	Generative adversarial network based on chaotic time series. CoRR Makoto Naruse, Takashi Matsubara, Nicolas Chauvet, Kazutaka Kanno, Tianyu Yang, Atsushi Uchida
2019	—	`conf`	Kindai University and Kobe University at TRECVID 2019 AVS Task. TRECVID Kimiaki Shirahama, Daichi Sakurai, Takashi Matsubara, Kuniaki Uehara
2019	B	`conf`	Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation. IJCNN Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara
2019	J	`jnl`	Target-Oriented Deformation of Visual-Semantic Embedding Space. CoRR Takashi Matsubara
2018	B	`conf`	Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. IJCNN Takashi Matsubara, Ryosuke Tachibana, Kuniaki Uehara
2018	J	`jnl`	Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. CoRR Takashi Matsubara, Ryosuke Tachibana, Kuniaki Uehara
2018	J	`jnl`	Data Augmentation using Random Image Cropping and Patching for Deep CNNs. CoRR Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
2018	C	`conf`	Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN. ACML Kenya Ukai, Takashi Matsubara, Kuniaki Uehara
2018	C	`conf`	RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs. ACML Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
2018	J	`jnl`	Stock Price Prediction by Deep Neural Generative Model of News Articles. IEICE Trans. Inf. Syst. Takashi Matsubara, Ryo Akita, Kuniaki Uehara
2018	—	`conf`	Structured Deep Generative Model of fMRI Signals for Mental Disorder Diagnosis. MICCAI (3) Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara
2017	J	`jnl`	A Novel Weight-Shared Multi-Stage Network Architecture of CNNs for Scale Invariance. CoRR Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
2017	C	`conf`	Automatic manga colorization with color style by generative adversarial nets. SNPD Yuusuke Kataoka, Takashi Matsubara, Kuniaki Uehara
2017	J	`jnl`	Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns. Frontiers Comput. Neurosci. Takashi Matsubara
2017	J	`jnl`	Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis. CoRR Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara
2017	C	`conf`	Developing game AI agent behaving like human by mixing reinforcement learning and supervised learning. SNPD Shohei Miyashita, Xinyu Lian, Xiao Zeng, Takashi Matsubara, Kuniaki Uehara
2017	C	`conf`	Scale-Invariant Recognition by Weight-Shared CNNs in Parallel. ACML Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
2017	B	`conf`	Spike timing-dependent conduction delay learning model classifying spatio-temporal spike patterns. IJCNN Takashi Matsubara
2016	B	`conf`	A novel homeostatic plasticity model realized by random fluctuations in excitatory synapses. IJCNN Takashi Matsubara, Kuniaki Uehara
2016	J	`jnl`	An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities. IEEE Trans. Neural Networks Learn. Syst. Takashi Matsubara, Hiroyuki Torikai
2016	C	`conf`	Deep learning for stock prediction using numerical and textual information. ICIS Ryo Akita, Akira Yoshihara, Takashi Matsubara, Kuniaki Uehara
2016	C	`conf`	Image generation using generative adversarial networks and attention mechanism. ICIS Yuusuke Kataoka, Takashi Matsubara, Kuniaki Uehara
2016	C	`conf`	Semi-Supervised learning using adversarial networks. ICIS Ryosuke Tachibana, Takashi Matsubara, Kuniaki Uehara
2015	J	`jnl`	A Novel Double Oscillation Model for Prediction of fMRI BOLD Signals without Detrending. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Takashi Matsubara, Hiroyuki Torikai, Tetsuya Shimokawa, Kenji Leibnitz, Ferdinand Peper
2014	B	`conf`	A nonlinear model of fMRI BOLD signal including the trend component. IJCNN Takashi Matsubara, Hiroyuki Torikai, Tetsuya Shimokawa, Kenji Leibnitz, Ferdinand Peper
2013	B	`conf`	A novel reservoir network of asynchronous cellular automaton based neurons for MIMO neural system reproduction. IJCNN Takashi Matsubara, Hiroyuki Torikai
2013	J	`jnl`	Asynchronous Cellular Automaton-Based Neuron: Theoretical Analysis and On-FPGA Learning. IEEE Trans. Neural Networks Learn. Syst. Takashi Matsubara, Hiroyuki Torikai
2012	—	`conf`	A Novel Bifurcation-Based Synthesis of Asynchronous Cellular Automaton Based Neuron. ICANN (1) Takashi Matsubara, Hiroyuki Torikai
2012	B	`conf`	A generalized asynchronous digital spiking neuron: Theoretical analysis and compartmental model. IJCNN Takashi Matsubara, Hiroyuki Torikai
2012	J	`jnl`	Neuron-Like Responses and Bifurcations of a Generalized Asynchronous Sequential Logic Spiking Neuron Model. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Takashi Matsubara, Hiroyuki Torikai
2011	J	`jnl`	A Generalized Rotate-and-Fire Digital Spiking Neuron Model and Its On-FPGA Learning. IEEE Trans. Circuits Syst. II Express Briefs Takashi Matsubara, Hiroyuki Torikai, Tetsuya Hishiki
2011	B	`conf`	A novel asynchronous digital spiking neuron model and its various neuron-like bifurcations and responses. IJCNN Takashi Matsubara, Hiroyuki Torikai
2011	—	`conf`	Dynamic Response Behaviors of a Generalized Asynchronous Digital Spiking Neuron Model. ICONIP (3) Takashi Matsubara, Hiroyuki Torikai