default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[c35]Takashi Matsubara, Takaharu Yaguchi:
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks. AAAI 2025: 595-603- [i19]Baige Xu, Yusuke Tanaka, Takashi Matsubara, Takaharu Yaguchi:
Learning Hamiltonian Density Using DeepONet. CoRR abs/2502.19994 (2025) - 2024
- [j25]Takahito Yoshida, Takaharu Yaguchi, Takashi Matsubara:
Loss Function for Deep Learning to Model Dynamical Systems. IEICE Trans. Inf. Syst. 107(11): 1458-1462 (2024) - [j24]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): 10526-10538 (2024) - [c34]Kota Sueyoshi, Takashi Matsubara:
Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models. CVPR 2024: 8651-8660 - [i18]Razmik Arman Khosrovian, Takaharu Yaguchi, Hiroaki Yoshimura, Takashi Matsubara:
Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains. CoRR abs/2410.11480 (2024) - 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-04-20 23:53 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
