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ORCIDTakashi Matsubara 0001
Person information
- affiliation: Osaka University, Osaka, Japan
- affiliation (former): Kobe University, Kobe, Japan
Other persons with the same name
- Takashi Matsubara 0002 — National Defense Academy, Yokosuka, Japan
- Takashi Matsubara 0003 — Hitachi Ltd., Yokohama, Japan
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2020 – today
- 2023
[j23]Kenta Hama
, Takashi Matsubara:
Multi-Modal Entity Alignment Using Uncertainty Quantification for Modality Importance. IEEE Access 11: 28479-28489 (2023)- [j22]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: 107543 (2023) - [j21]Yu Kashihara, Takashi Matsubara:
Inverse Heat Dissipation Model for Medical Image Segmentation. IEICE Trans. Inf. Syst. 106(11): 1930-1934 (2023) - [c33]Takehiro Aoshima, Takashi Matsubara:
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model. CVPR 2023: 5957-5967 - [c32]Takashi Matsubara, Takaharu Yaguchi:
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities. ICLR 2023 - [c31]Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara:
A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning. SDM 2023: 334-342 - [i17]Takashi Matsubara, Takaharu Yaguchi:
Good Lattice Training: Physics-Informed Neural Networks Accelerated by Number Theory. CoRR abs/2307.13869 (2023) - [i16]Kota Sueyoshi, Takashi Matsubara:
Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models. CoRR abs/2311.16117 (2023) - 2022
- [j20]Kazuki Sato, Satoshi Nakata, Takashi Matsubara, Kuniaki Uehara:
Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data. IEICE Trans. Inf. Syst. 105-D(2): 436-440 (2022) - [j19]Takumi Kimura, Takashi Matsubara, Kuniaki Uehara:
Topology-Aware Flow-Based Point Cloud Generation. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7967-7982 (2022) - [j18]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): 5161-5173 (2022) - [c30]Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi:
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss. AAAI 2022: 6322-6332 - [c29]Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara:
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. ECML/PKDD (1) 2022: 88-103 - [i15]Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara:
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. CoRR abs/2206.10801 (2022) - [i14]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 abs/2207.09783 (2022) - [i13]Takashi Matsubara, Takaharu Yaguchi:
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities. CoRR abs/2210.00272 (2022) - [i12]Takehiro Aoshima, Takashi Matsubara:
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model. CoRR abs/2211.14573 (2022) - 2021
- [j17]Rousslan Fernand Julien Dossa, Shengyi Huang, Santiago Ontañón, Takashi Matsubara:
An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization. IEEE Access 9: 117981-117992 (2021) - [j16]Takashi Matsubara:
Target-Oriented Deformation of Visual-Semantic Embedding Space. IEICE Trans. Inf. Syst. 104-D(1): 24-33 (2021) - [j15]Kohei Nakai, Takashi Matsubara, Kuniaki Uehara:
Neural Architecture Search for Convolutional Neural Networks with Attention. IEICE Trans. Inf. Syst. 104-D(2): 312-321 (2021) - [j14]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): 592-605 (2021) - [j13]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): 46:1-46:19 (2021) - [c28]Takumi Kimura, Takashi Matsubara, Kuniaki Uehara:
ChartPointFlow for Topology-Aware 3D Point Cloud Generation. ACM Multimedia 2021: 1396-1404 - [c27]Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi:
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems. NeurIPS 2021: 16659-16670 - [c26]Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi:
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. NeurIPS 2021: 20772-20784 - [i11]Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi:
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. CoRR abs/2102.09750 (2021) - [i10]Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi:
Universal Approximation Properties of Neural Networks for Energy-Based Physical Systems. CoRR abs/2102.11923 (2021) - [i9]Shunpei Terakawa, Takashi Matsubara, Takaharu Yaguchi:
An Error Analysis Framework for Neural Network Modeling of Dynamical Systems. CoRR abs/2112.14014 (2021) - 2020
- [j12]Kazuki Kawamura, Takashi Matsubara, Kuniaki Uehara:
Deep State-Space Model for Noise Tolerant Skeleton-Based Action Recognition. IEICE Trans. Inf. Syst. 103-D(6): 1217-1225 (2020) - [j11]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. 103-D(9): 1960-1970 (2020) - [j10]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): 2917-2931 (2020) - [c25]Kohei Nakai, Takashi Matsubara, Kuniaki Uehara:
Att-DARTS: Differentiable Neural Architecture Search for Attention. IJCNN 2020: 1-8 - [c24]Takashi Matsubara, Ai Ishikawa, Takaharu Yaguchi:
Deep Energy-based Modeling of Discrete-Time Physics. NeurIPS 2020 - [c23]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 - [i8]Takumi Kimura, Takashi Matsubara, Kuniaki Uehara:
ChartPointFlow for Topology-Aware 3D Point Cloud Generation. CoRR abs/2012.02346 (2020)
2010 – 2019
- 2019
- [j9]Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara:
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis. IEEE Trans. Biomed. Eng. 66(10): 2768-2779 (2019) - [j8]Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness. IEEE Trans. Circuits Syst. Video Technol. 29(4): 1090-1101 (2019) - [c22]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: 1-8 - [c21]Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara:
Deep Generative State-Space Modeling of FMRI Images for Psychiatric Disorder Diagnosis. IJCNN 2019: 1-7 - [c20]Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara:
Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation. IJCNN 2019: 1-7 - [c19]Kimiaki Shirahama, Daichi Sakurai, Takashi Matsubara, Kuniaki Uehara:
Kindai University and Kobe University at TRECVID 2019 AVS Task. TRECVID 2019 - [i7]Kenta Hama, Takashi Matsubara, Kuniaki Uehara, Jianfei Cai:
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task. CoRR abs/1904.08504 (2019) - [i6]Makoto Naruse, Takashi Matsubara, Nicolas Chauvet, Kazutaka Kanno, Tianyu Yang, Atsushi Uchida:
Generative adversarial network based on chaotic time series. CoRR abs/1905.10163 (2019) - [i5]Takashi Matsubara:
Target-Oriented Deformation of Visual-Semantic Embedding Space. CoRR abs/1910.06514 (2019) - 2018
- [j7]Takashi Matsubara, Ryo Akita, Kuniaki Uehara:
Stock Price Prediction by Deep Neural Generative Model of News Articles. IEICE Trans. Inf. Syst. 101-D(4): 901-908 (2018) - [c18]Kenya Ukai, Takashi Matsubara, Kuniaki Uehara:
Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN. ACML 2018: 176-191 - [c17]Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs. ACML 2018: 786-798 - [c16]Takashi Matsubara, Ryosuke Tachibana, Kuniaki Uehara:
Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. IJCNN 2018: 1-8 - [c15]Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara:
Structured Deep Generative Model of fMRI Signals for Mental Disorder Diagnosis. MICCAI (3) 2018: 258-266 - [i4]Takashi Matsubara, Ryosuke Tachibana, Kuniaki Uehara:
Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. CoRR abs/1807.05800 (2018) - [i3]Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
Data Augmentation using Random Image Cropping and Patching for Deep CNNs. CoRR abs/1811.09030 (2018) - 2017
- [j6]Takashi Matsubara:
Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns. Frontiers Comput. Neurosci. 11: 104 (2017) - [c14]Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
Scale-Invariant Recognition by Weight-Shared CNNs in Parallel. ACML 2017: 295-310 - [c13]Takashi Matsubara:
Spike timing-dependent conduction delay learning model classifying spatio-temporal spike patterns. IJCNN 2017: 1831-1839 - [c12]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: 489-494 - [c11]Yuusuke Kataoka, Takashi Matsubara, Kuniaki Uehara:
Automatic manga colorization with color style by generative adversarial nets. SNPD 2017: 495-499 - [i2]Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
A Novel Weight-Shared Multi-Stage Network Architecture of CNNs for Scale Invariance. CoRR abs/1702.03505 (2017) - [i1]Takashi Matsubara, Tetsuo Tashiro, Kuniaki Uehara:
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis. CoRR abs/1712.06260 (2017) - 2016
- [j5]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): 836-852 (2016) - [c10]Ryo Akita, Akira Yoshihara, Takashi Matsubara, Kuniaki Uehara:
Deep learning for stock prediction using numerical and textual information. ICIS 2016: 1-6 - [c9]Yuusuke Kataoka, Takashi Matsubara, Kuniaki Uehara:
Image generation using generative adversarial networks and attention mechanism. ICIS 2016: 1-6 - [c8]Ryosuke Tachibana, Takashi Matsubara, Kuniaki Uehara:
Semi-Supervised learning using adversarial networks. ICIS 2016: 1-6 - [c7]Takashi Matsubara, Kuniaki Uehara:
A novel homeostatic plasticity model realized by random fluctuations in excitatory synapses. IJCNN 2016: 1060-1067 - 2015
- [j4]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. 98-A(9): 1924-1936 (2015) - 2014
- [c6]Takashi Matsubara, Hiroyuki Torikai, Tetsuya Shimokawa, Kenji Leibnitz, Ferdinand Peper:
A nonlinear model of fMRI BOLD signal including the trend component. IJCNN 2014: 2579-2586 - 2013
- [j3]Takashi Matsubara, Hiroyuki Torikai:
Asynchronous Cellular Automaton-Based Neuron: Theoretical Analysis and On-FPGA Learning. IEEE Trans. Neural Networks Learn. Syst. 24(5): 736-748 (2013) - [c5]Takashi Matsubara, Hiroyuki Torikai:
A novel reservoir network of asynchronous cellular automaton based neurons for MIMO neural system reproduction. IJCNN 2013: 1-7 - 2012
- [j2]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. 95-A(8): 1317-1328 (2012) - [c4]Takashi Matsubara, Hiroyuki Torikai:
A Novel Bifurcation-Based Synthesis of Asynchronous Cellular Automaton Based Neuron. ICANN (1) 2012: 231-238 - [c3]Takashi Matsubara, Hiroyuki Torikai:
A generalized asynchronous digital spiking neuron: Theoretical analysis and compartmental model. IJCNN 2012: 1-8 - 2011
- [j1]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 58-II(10): 677-681 (2011) - [c2]Takashi Matsubara, Hiroyuki Torikai:
Dynamic Response Behaviors of a Generalized Asynchronous Digital Spiking Neuron Model. ICONIP (3) 2011: 395-404 - [c1]Takashi Matsubara, Hiroyuki Torikai:
A novel asynchronous digital spiking neuron model and its various neuron-like bifurcations and responses. IJCNN 2011: 741-748
Coauthor Index
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last updated on 2023-12-03 01:40 CET by the dblp team
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