Takashi Matsubara

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 64

Top Topics

Vector Quantized

Top Venues

IEICE Trans. Inf. Syst.

IEEE Trans. Circuits Syst. Video Technol.

Publications

Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
The Symplectic Adjoint Method: Memory-Efficient Backpropagation of Neural-Network-Based Differential Equations. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Takashi Matsubara, Takaharu Yaguchi
Good Lattice Training: Physics-Informed Neural Networks Accelerated by Number Theory. CoRR (2023)
Yu Kashihara, Takashi Matsubara
Inverse Heat Dissipation Model for Medical Image Segmentation. IEICE Trans. Inf. Syst. 106 (11) (2023)
Takehiro Aoshima, Takashi Matsubara
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model. CVPR (2023)
Zheng Chen, Ziwei Yang, Lingwei Zhu, Peng Gao, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin
Learning vector quantized representation for cancer subtypes identification. Comput. Methods Programs Biomed. 236 (2023)
Kenta Hama, Takashi Matsubara
Multi-Modal Entity Alignment Using Uncertainty Quantification for Modality Importance. IEEE Access 11 (2023)
Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara
A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning. SDM (2023)
Takashi Matsubara, Takaharu Yaguchi
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities. ICLR (2023)
Kota Sueyoshi, Takashi Matsubara
Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models. CoRR (2023)
Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. CoRR (2022)
Takashi Matsubara, Takaharu Yaguchi
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities. CoRR (2022)
Zheng Chen, Ziwei Yang, Lingwei Zhu, Guang Shi, Kun Yue, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin
Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder. CoRR (2022)
Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. ECML/PKDD (1) (2022)
Takashi Matsubara, Kazuki Sato, Kenta Hama, Ryosuke Tachibana, Kuniaki Uehara
Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity. IEEE Trans. Cybern. 52 (6) (2022)
Kazuki Sato, Satoshi Nakata, Takashi Matsubara, Kuniaki Uehara
Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data. IEICE Trans. Inf. Syst. (2) (2022)
Takehiro Aoshima, Takashi Matsubara
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model. CoRR (2022)
Takumi Kimura, Takashi Matsubara, Kuniaki Uehara
Topology-Aware Flow-Based Point Cloud Generation. IEEE Trans. Circuits Syst. Video Technol. 32 (11) (2022)
Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss. AAAI (2022)
Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. NeurIPS (2021)
Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
Universal Approximation Properties of Neural Networks for Energy-Based Physical Systems. CoRR (2021)
Kenta Hama, Takashi Matsubara, Kuniaki Uehara, Jianfei Cai
Exploring Uncertainty Measures for Image-caption Embedding-and-retrieval Task. ACM Trans. Multim. Comput. Commun. Appl. 17 (2) (2021)
Shunpei Terakawa, Takashi Matsubara, Takaharu Yaguchi
An Error Analysis Framework for Neural Network Modeling of Dynamical Systems. CoRR (2021)
Takashi Matsubara
Target-Oriented Deformation of Visual-Semantic Embedding Space. IEICE Trans. Inf. Syst. (1) (2021)
Takashi Matsubara, Koki Kusano, Tetsuo Tashiro, Kenya Ukai, Kuniaki Uehara
Deep Generative Model of Individual Variability in fMRI Images of Psychiatric Patients. IEEE Trans. Biomed. Eng. 68 (2) (2021)
Rousslan Fernand Julien Dossa, Shengyi Huang, Santiago Ontañón, Takashi Matsubara
An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization. IEEE Access 9 (2021)
Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. CoRR (2021)
Kohei Nakai, Takashi Matsubara, Kuniaki Uehara
Neural Architecture Search for Convolutional Neural Networks with Attention. IEICE Trans. Inf. Syst. (2) (2021)
Takumi Kimura, Takashi Matsubara, Kuniaki Uehara
ChartPointFlow for Topology-Aware 3D Point Cloud Generation. ACM Multimedia (2021)
Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems. NeurIPS (2021)
Kazuki Kawamura, Takashi Matsubara, Kuniaki Uehara
Deep State-Space Model for Noise Tolerant Skeleton-Based Action Recognition. IEICE Trans. Inf. Syst. (6) (2020)
Kohei Nakai, Takashi Matsubara, Kuniaki Uehara
Att-DARTS: Differentiable Neural Architecture Search for Attention. IJCNN (2020)
Daiki Mukai, Ryosuke Utsunomiya, Shunsuke Utsuki, Kimiaki Shirahama, Takashi Matsubara, Kuniaki Uehara
Kindai University and Osaka Gakuin University at TRECVID 2020 AVS and ActEV Tasks. TRECVID (2020)
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
Data Augmentation Using Random Image Cropping and Patching for Deep CNNs. IEEE Trans. Circuits Syst. Video Technol. 30 (9) (2020)
Takumi Kimura, Takashi Matsubara, Kuniaki Uehara
ChartPointFlow for Topology-Aware 3D Point Cloud Generation. CoRR (2020)
Takashi Matsubara, Ai Ishikawa, Takaharu Yaguchi
Deep Energy-based Modeling of Discrete-Time Physics. NeurIPS (2020)
Rousslan Fernand Julien Dossa, Xinyu Lian, Hirokazu Nomoto, Takashi Matsubara, Kuniaki Uehara
Hybrid of Reinforcement and Imitation Learning for Human-Like Agents. IEICE Trans. Inf. Syst. (9) (2020)
Kenta Hama, Takashi Matsubara, Kuniaki Uehara, Jianfei Cai
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task. CoRR (2019)
Kimiaki Shirahama, Daichi Sakurai, Takashi Matsubara, Kuniaki Uehara
Kindai University and Kobe University at TRECVID 2019 AVS Task. TRECVID (2019)
Takashi Matsubara
Target-Oriented Deformation of Visual-Semantic Embedding Space. CoRR (2019)
Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara
Deep Generative State-Space Modeling of FMRI Images for Psychiatric Disorder Diagnosis. IJCNN (2019)
Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis. IEEE Trans. Biomed. Eng. 66 (10) (2019)
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness. IEEE Trans. Circuits Syst. Video Technol. 29 (4) (2019)
Rousslan Fernand Julien Dossa, Xinyu Lian, Hirokazu Nomoto, Takashi Matsubara, Kuniaki Uehara
A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning. IJCNN (2019)
Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara
Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation. IJCNN (2019)
Makoto Naruse, Takashi Matsubara, Nicolas Chauvet, Kazutaka Kanno, Tianyu Yang, Atsushi Uchida
Generative adversarial network based on chaotic time series. CoRR (2019)
Takashi Matsubara, Ryo Akita, Kuniaki Uehara
Stock Price Prediction by Deep Neural Generative Model of News Articles. IEICE Trans. Inf. Syst. (4) (2018)
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs. ACML (2018)
Kenya Ukai, Takashi Matsubara, Kuniaki Uehara
Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN. ACML (2018)
Takashi Matsubara, Ryosuke Tachibana, Kuniaki Uehara
Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. IJCNN (2018)
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
Data Augmentation using Random Image Cropping and Patching for Deep CNNs. CoRR (2018)
Takashi Matsubara, Ryosuke Tachibana, Kuniaki Uehara
Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. CoRR (2018)
Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara
Structured Deep Generative Model of fMRI Signals for Mental Disorder Diagnosis. MICCAI (3) (2018)
Takashi Matsubara
Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns. Frontiers Comput. Neurosci. 11 (2017)
Yuusuke Kataoka, Takashi Matsubara, Kuniaki Uehara
Automatic manga colorization with color style by generative adversarial nets. SNPD (2017)
Takashi Matsubara
Spike timing-dependent conduction delay learning model classifying spatio-temporal spike patterns. IJCNN (2017)
Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis. CoRR (2017)
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
A Novel Weight-Shared Multi-Stage Network Architecture of CNNs for Scale Invariance. CoRR (2017)
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
Scale-Invariant Recognition by Weight-Shared CNNs in Parallel. ACML (2017)
Shohei Miyashita, Xinyu Lian, Xiao Zeng, Takashi Matsubara, Kuniaki Uehara
Developing game AI agent behaving like human by mixing reinforcement learning and supervised learning. SNPD (2017)
Ryosuke Tachibana, Takashi Matsubara, Kuniaki Uehara
Semi-Supervised learning using adversarial networks. ICIS (2016)
Takashi Matsubara, Hiroyuki Torikai
An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities. IEEE Trans. Neural Networks Learn. Syst. 27 (4) (2016)
Takashi Matsubara, Kuniaki Uehara
A novel homeostatic plasticity model realized by random fluctuations in excitatory synapses. IJCNN (2016)
Yuusuke Kataoka, Takashi Matsubara, Kuniaki Uehara
Image generation using generative adversarial networks and attention mechanism. ICIS (2016)
Ryo Akita, Akira Yoshihara, Takashi Matsubara, Kuniaki Uehara
Deep learning for stock prediction using numerical and textual information. ICIS (2016)
Takashi Matsubara, Hiroyuki Torikai, Tetsuya Shimokawa, Kenji Leibnitz, Ferdinand Peper
A Novel Double Oscillation Model for Prediction of fMRI BOLD Signals without Detrending. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (9) (2015)
Takashi Matsubara, Hiroyuki Torikai, Tetsuya Shimokawa, Kenji Leibnitz, Ferdinand Peper
A nonlinear model of fMRI BOLD signal including the trend component. IJCNN (2014)
Takashi Matsubara, Hiroyuki Torikai
Asynchronous Cellular Automaton-Based Neuron: Theoretical Analysis and On-FPGA Learning. IEEE Trans. Neural Networks Learn. Syst. 24 (5) (2013)
Takashi Matsubara, Hiroyuki Torikai
A novel reservoir network of asynchronous cellular automaton based neurons for MIMO neural system reproduction. IJCNN (2013)
Takashi Matsubara, Hiroyuki Torikai
Neuron-Like Responses and Bifurcations of a Generalized Asynchronous Sequential Logic Spiking Neuron Model. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (8) (2012)
Takashi Matsubara, Hiroyuki Torikai
A Novel Bifurcation-Based Synthesis of Asynchronous Cellular Automaton Based Neuron. ICANN (1) (2012)
Takashi Matsubara, Hiroyuki Torikai
A generalized asynchronous digital spiking neuron: Theoretical analysis and compartmental model. IJCNN (2012)
Takashi Matsubara, Hiroyuki Torikai, Tetsuya Hishiki
A Generalized Rotate-and-Fire Digital Spiking Neuron Model and Its On-FPGA Learning. IEEE Trans. Circuits Syst. II Express Briefs (10) (2011)
Takashi Matsubara, Hiroyuki Torikai
Dynamic Response Behaviors of a Generalized Asynchronous Digital Spiking Neuron Model. ICONIP (3) (2011)
Takashi Matsubara, Hiroyuki Torikai
A novel asynchronous digital spiking neuron model and its various neuron-like bifurcations and responses. IJCNN (2011)