Dynamic Response Behaviors of a Generalized Asynchronous Digital Spiking Neuron Model. - Takashi Matsubara 001; Hiroyuki Torikai (ICONIP (3), 2011)

A novel asynchronous digital spiking neuron model and its various neuron-like bifurcations and responses. - Takashi Matsubara 001; Hiroyuki Torikai (IJCNN, 2011)

A Generalized Rotate-and-Fire Digital Spiking Neuron Model and Its On-FPGA Learning. - Takashi Matsubara 001; Hiroyuki Torikai; Tetsuya Hishiki (IEEE Trans. Circuits Syst. II Express Briefs, 2011)

A Novel Bifurcation-Based Synthesis of Asynchronous Cellular Automaton Based Neuron. - Takashi Matsubara 001; Hiroyuki Torikai (ICANN (1), 2012)

A generalized asynchronous digital spiking neuron: Theoretical analysis and compartmental model. - Takashi Matsubara 001; Hiroyuki Torikai (IJCNN, 2012)

Neuron-Like Responses and Bifurcations of a Generalized Asynchronous Sequential Logic Spiking Neuron Model. - Takashi Matsubara 001; Hiroyuki Torikai (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

A novel reservoir network of asynchronous cellular automaton based neurons for MIMO neural system reproduction. - Takashi Matsubara 001; Hiroyuki Torikai (IJCNN, 2013)

Asynchronous Cellular Automaton-Based Neuron: Theoretical Analysis and On-FPGA Learning. - Takashi Matsubara 001; Hiroyuki Torikai (IEEE Trans. Neural Networks Learn. Syst., 2013)

A nonlinear model of fMRI BOLD signal including the trend component. - Takashi Matsubara 001; Hiroyuki Torikai; Tetsuya Shimokawa; Kenji Leibnitz; Ferdinand Peper (IJCNN, 2014)

A Novel Double Oscillation Model for Prediction of fMRI BOLD Signals without Detrending. - Takashi Matsubara 001; Hiroyuki Torikai; Tetsuya Shimokawa; Kenji Leibnitz; Ferdinand Peper (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Deep learning for stock prediction using numerical and textual information. - Ryo Akita; Akira Yoshihara; Takashi Matsubara 001; Kuniaki Uehara (ICIS, 2016)

Image generation using generative adversarial networks and attention mechanism. - Yuusuke Kataoka; Takashi Matsubara 001; Kuniaki Uehara (ICIS, 2016)

Semi-Supervised learning using adversarial networks. - Ryosuke Tachibana; Takashi Matsubara 001; Kuniaki Uehara (ICIS, 2016)

A novel homeostatic plasticity model realized by random fluctuations in excitatory synapses. - Takashi Matsubara 001; Kuniaki Uehara (IJCNN, 2016)

An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities. - Takashi Matsubara 001; Hiroyuki Torikai (IEEE Trans. Neural Networks Learn. Syst., 2016)

Scale-Invariant Recognition by Weight-Shared CNNs in Parallel. - Ryo Takahashi; Takashi Matsubara 001; Kuniaki Uehara (ACML, 2017)

Spike timing-dependent conduction delay learning model classifying spatio-temporal spike patterns. - Takashi Matsubara 001 (IJCNN, 2017)

Automatic manga colorization with color style by generative adversarial nets. - Yuusuke Kataoka; Takashi Matsubara 001; Kuniaki Uehara (SNPD, 2017)

Developing game AI agent behaving like human by mixing reinforcement learning and supervised learning. - Shohei Miyashita; Xinyu Lian; Xiao Zeng; Takashi Matsubara 001; Kuniaki Uehara (SNPD, 2017)

A Novel Weight-Shared Multi-Stage Network Architecture of CNNs for Scale Invariance. - Ryo Takahashi; Takashi Matsubara 001; Kuniaki Uehara (CoRR, 2017)

Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns. - Takashi Matsubara 001 (Frontiers Comput. Neurosci., 2017)

RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs. - Ryo Takahashi; Takashi Matsubara 001; Kuniaki Uehara (ACML, 2018)

Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN. - Kenya Ukai; Takashi Matsubara 001; Kuniaki Uehara (ACML, 2018)

Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. - Takashi Matsubara 001; Ryosuke Tachibana; Kuniaki Uehara (IJCNN, 2018)

Structured Deep Generative Model of fMRI Signals for Mental Disorder Diagnosis. - Takashi Matsubara 001; Tetsuo Tashiro; Kuniaki Uehara (MICCAI (3), 2018)

Stock Price Prediction by Deep Neural Generative Model of News Articles. - Takashi Matsubara 001; Ryo Akita; Kuniaki Uehara (IEICE Trans. Inf. Syst., 2018)

A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning. - Rousslan Fernand Julien Dossa; Xinyu Lian; Hirokazu Nomoto; Takashi Matsubara 001; Kuniaki Uehara (IJCNN, 2019)

Deep Generative State-Space Modeling of FMRI Images for Psychiatric Disorder Diagnosis. - Koki Kusano; Tetsuo Tashiro; Takashi Matsubara 001; Kuniaki Uehara (IJCNN, 2019)

Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation. - Kazuki Sato; Kenta Hama; Takashi Matsubara 001; Kuniaki Uehara (IJCNN, 2019)

Kindai University and Kobe University at TRECVID 2019 AVS Task. - Kimiaki Shirahama; Daichi Sakurai; Takashi Matsubara 001; Kuniaki Uehara (TRECVID, 2019)

Generative adversarial network based on chaotic time series. - Makoto Naruse; Takashi Matsubara 001; Nicolas Chauvet; Kazutaka Kanno; Tianyu Yang; Atsushi Uchida (CoRR, 2019)

Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis. - Takashi Matsubara 001; Tetsuo Tashiro; Kuniaki Uehara (IEEE Trans. Biomed. Eng., 2019)

A Novel Weight-Shared Multi-Stage CNN for Scale Robustness. - Ryo Takahashi; Takashi Matsubara 001; Kuniaki Uehara (IEEE Trans. Circuits Syst. Video Technol., 2019)

Att-DARTS: Differentiable Neural Architecture Search for Attention. - Kohei Nakai; Takashi Matsubara 001; Kuniaki Uehara (IJCNN, 2020)

Deep Energy-based Modeling of Discrete-Time Physics. - Takashi Matsubara 001; Ai Ishikawa; Takaharu Yaguchi (NeurIPS, 2020)

Kindai University and Osaka Gakuin University at TRECVID 2020 AVS and ActEV Tasks. - Daiki Mukai; Ryosuke Utsunomiya; Shunsuke Utsuki; Kimiaki Shirahama; Takashi Matsubara 001; Kuniaki Uehara (TRECVID, 2020)

Hybrid of Reinforcement and Imitation Learning for Human-Like Agents. - Rousslan Fernand Julien Dossa; Xinyu Lian; Hirokazu Nomoto; Takashi Matsubara 001; Kuniaki Uehara (IEICE Trans. Inf. Syst., 2020)

Deep State-Space Model for Noise Tolerant Skeleton-Based Action Recognition. - Kazuki Kawamura; Takashi Matsubara 001; Kuniaki Uehara (IEICE Trans. Inf. Syst., 2020)

Data Augmentation Using Random Image Cropping and Patching for Deep CNNs. - Ryo Takahashi; Takashi Matsubara 001; Kuniaki Uehara (IEEE Trans. Circuits Syst. Video Technol., 2020)

ChartPointFlow for Topology-Aware 3D Point Cloud Generation. - Takumi Kimura; Takashi Matsubara 001; Kuniaki Uehara (ACM Multimedia, 2021)

Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems. - Yuhan Chen; Takashi Matsubara 001; Takaharu Yaguchi (NeurIPS, 2021)

Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. - Takashi Matsubara 001; Yuto Miyatake; Takaharu Yaguchi (NeurIPS, 2021)

An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization. - Rousslan Fernand Julien Dossa; Shengyi Huang; Santiago Ontañón; Takashi Matsubara 001 (IEEE Access, 2021)

Universal Approximation Properties of Neural Networks for Energy-Based Physical Systems. - Yuhan Chen; Takashi Matsubara 001; Takaharu Yaguchi (CoRR, 2021)

An Error Analysis Framework for Neural Network Modeling of Dynamical Systems. - Shunpei Terakawa; Takashi Matsubara 001; Takaharu Yaguchi (CoRR, 2021)

Target-Oriented Deformation of Visual-Semantic Embedding Space. - Takashi Matsubara 001 (IEICE Trans. Inf. Syst., 2021)

Neural Architecture Search for Convolutional Neural Networks with Attention. - Kohei Nakai; Takashi Matsubara 001; Kuniaki Uehara (IEICE Trans. Inf. Syst., 2021)

Deep Generative Model of Individual Variability in fMRI Images of Psychiatric Patients. - Takashi Matsubara 001; Koki Kusano; Tetsuo Tashiro; Kenya Ukai; Kuniaki Uehara (IEEE Trans. Biomed. Eng., 2021)

Exploring Uncertainty Measures for Image-caption Embedding-and-retrieval Task. - Kenta Hama; Takashi Matsubara 001; Kuniaki Uehara; Jianfei Cai 001 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss. - Yuhan Chen; Takashi Matsubara 001; Takaharu Yaguchi (AAAI, 2022)

Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. - Zheng Chen 012; Lingwei Zhu; Ziwei Yang 002; Takashi Matsubara 001 (ECML/PKDD (1), 2022)

Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder. - Zheng Chen 012; Ziwei Yang 002; Lingwei Zhu; Guang Shi; Kun Yue; Takashi Matsubara 001; Shigehiko Kanaya; Md. Altaf-Ul-Amin (CoRR, 2022)

Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data. - Kazuki Sato; Satoshi Nakata; Takashi Matsubara 001; Kuniaki Uehara (IEICE Trans. Inf. Syst., 2022)

Topology-Aware Flow-Based Point Cloud Generation. - Takumi Kimura; Takashi Matsubara 001; Kuniaki Uehara (IEEE Trans. Circuits Syst. Video Technol., 2022)

Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity. - Takashi Matsubara 001; Kazuki Sato; Kenta Hama; Ryosuke Tachibana; Kuniaki Uehara (IEEE Trans. Cybern., 2022)

Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model. - Takehiro Aoshima; Takashi Matsubara 001 (CVPR, 2023)

FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities. - Takashi Matsubara 001; Takaharu Yaguchi (ICLR, 2023)

A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning. - Zheng Chen 012; Lingwei Zhu; Haohui Jia; Takashi Matsubara 001 (SDM, 2023)

Multi-Modal Entity Alignment Using Uncertainty Quantification for Modality Importance. - Kenta Hama; Takashi Matsubara 001 (IEEE Access, 2023)

Good Lattice Training: Physics-Informed Neural Networks Accelerated by Number Theory. - Takashi Matsubara 001; Takaharu Yaguchi (CoRR, 2023)

Learning vector quantized representation for cancer subtypes identification. - Zheng Chen 012; Ziwei Yang 002; Lingwei Zhu; Peng Gao; Takashi Matsubara 001; Shigehiko Kanaya; Md. Altaf-Ul-Amin (Comput. Methods Programs Biomed., 2023)

Inverse Heat Dissipation Model for Medical Image Segmentation. - Yu Kashihara; Takashi Matsubara 001 (IEICE Trans. Inf. Syst., 2023)

Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models. - Kota Sueyoshi; Takashi Matsubara 001 (CVPR, 2024)

Loss Function for Deep Learning to Model Dynamical Systems. - Takahito Yoshida; Takaharu Yaguchi; Takashi Matsubara 001 (IEICE Trans. Inf. Syst., 2024)

The Symplectic Adjoint Method: Memory-Efficient Backpropagation of Neural-Network-Based Differential Equations. - Takashi Matsubara 001; Yuto Miyatake; Takaharu Yaguchi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Number Theoretic Accelerated Learning of Physics-Informed Neural Networks. - Takashi Matsubara 001; Takaharu Yaguchi (AAAI, 2025)

Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains. - Razmik Arman Khosrovian; Takaharu Yaguchi; Hiroaki Yoshimura; Takashi Matsubara 001 (ICLR, 2025)

Learning Hamiltonian Density Using DeepONet. - Baige Xu; Yusuke Tanaka 002; Takashi Matsubara 001; Takaharu Yaguchi (CoRR, 2025)

Image Interpolation with Score-based Riemannian Metrics of Diffusion Models. - Shinnosuke Saito; Takashi Matsubara 001 (CoRR, 2025)

Deep Energy-Based Discrete-Time Physical Model for Reproducing Energetic Behavior. - Takashi Matsubara 001; Takehiro Aoshima; Ai Ishikawa; Takaharu Yaguchi (IEEE Trans. Neural Networks Learn. Syst., 2025)