Takashi Matsubara

发表

Homeostatic Plasticity Achieved by Incorporation of Random Fluctuations and Soft-Bounded Hebbian Plasticity in Excitatory Synapses

K. Uehara, Takashi Matsubara, 2016, Front. Neural Circuits.

Modeling a Subject-Wise Variability in fMRI data and Diagnosis of Psychiatric Disorder by Deep Generative Model

K. Uehara, Takashi Matsubara, T. Tashiro, 2018 .

Toward Human Cognition-inspired High-Level Decision Making For Hierarchical Reinforcement Learning Agents

Rousslan Fernand Julien Dossa, Takashi Matsubara, 2021 .

Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data

K. Uehara, Takashi Matsubara, Kazuki Sato, 2022, IEICE Trans. Inf. Syst..

Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder

M. Altaf-Ul-Amin, Shigehiko Kanaya, Lingwei Zhu, 2022, ArXiv.

FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities

Takaharu Yaguchi, Takashi Matsubara, 2022, ArXiv.

D EEP D ISCRETE -T IME L AGRANGIAN M ECHANICS

Takaharu Yaguchi, Takashi Matsubara, 2021 .

Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization

Lingwei Zhu, Ziwei Yang, Takashi Matsubara, 2022, ArXiv.

Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model

Takashi Matsubara, Takehiro Aoshima, 2022, ArXiv.

An Error Analysis Framework for Neural Network Modeling of Dynamical Systems pdf

Takashi Matsubara, Takaharu Yaguchi, Shunpei Terakawa, 2021, ArXiv.

A novel homeostatic plasticity model realized by random fluctuations in excitatory synapses

Takashi Matsubara, Kuniaki Uehara, K. Uehara, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns

Takashi Matsubara, Takashi Matsubara, 2017, Front. Comput. Neurosci..

Spike timing-dependent conduction delay learning model classifying spatio-temporal spike patterns

Takashi Matsubara, Takashi Matsubara, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Analysis of Angular Information based Target Enclosure Model with Nearest Neighbor Topology

Hiroshi Sato, Masao Kubo, Akihiro Yamaguchi, 2012 .

Deep learning for stock prediction using numerical and textual information

Takashi Matsubara, Kuniaki Uehara, Akira Yoshihara, 2016, 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS).

Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization

Lingwei Zhu, Ziwei Yang, Takashi Matsubara, 2022, ECML/PKDD.

A Novel Double Oscillation Model for Prediction of fMRI BOLD Signals without Detrending

Kenji Leibnitz, Tetsuya Shimokawa, Ferdinand Peper, 2015, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Data Augmentation Using Random Image Cropping and Patching for Deep CNNs

Takashi Matsubara, Kuniaki Uehara, Ryo Takahashi, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Deep Energy-based Modeling of Discrete-Time Physics

Takaharu Yaguchi, Takashi Matsubara, Ai Ishikawa, 2019, NeurIPS.

An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities

Takashi Matsubara, Hiroyuki Torikai, H. Torikai, 2016, IEEE Transactions on Neural Networks and Learning Systems.

A novel reservoir network of asynchronous cellular automaton based neurons for MIMO neural system reproduction

Takashi Matsubara, Hiroyuki Torikai, H. Torikai, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

A Generalized Rotate-and-Fire Digital Spiking Neuron Model and Its On-FPGA Learning

Tetsuya Hishiki, Takashi Matsubara, Hiroyuki Torikai, 2011, IEEE Transactions on Circuits and Systems II: Express Briefs.

Dynamic Response Behaviors of a Generalized Asynchronous Digital Spiking Neuron Model

Takashi Matsubara, Hiroyuki Torikai, H. Torikai, 2011, ICONIP.

RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs

Takashi Matsubara, Kuniaki Uehara, Ryo Takahashi, 2018, ACML.

Exploring Uncertainty Measures for Image-caption Embedding-and-retrieval Task pdf

Jianfei Cai, Takashi Matsubara, Kuniaki Uehara, 2019, ACM Trans. Multim. Comput. Commun. Appl..

Bayesian deep learning: A model-based interpretable approach

Takashi Matsubara, Takashi Matsubara, 2020 .

Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation

Takashi Matsubara, Kazuki Sato, Kenta Hama, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis

Takashi Matsubara, Kuniaki Uehara, Tetsuo Tashiro, 2017, IEEE Transactions on Biomedical Engineering.

Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity

Takashi Matsubara, Kuniaki Uehara, Ryosuke Tachibana, 2018, IEEE Transactions on Cybernetics.

Topology-Aware Flow-Based Point Cloud Generation

K. Uehara, Takashi Matsubara, Takumi Kimura, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning

Takashi Matsubara, Xinyu Lian, Hirokazu Nomoto, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Att-DARTS: Differentiable Neural Architecture Search for Attention

Kohei Nakai, Takashi Matsubara, Kuniaki Uehara, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model

Takashi Matsubara, Takehiro Aoshima, 2022, ArXiv.

Stock Price Prediction by Deep Neural Generative Model of News Articles

Takashi Matsubara, Kuniaki Uehara, Ryo Akita, 2018, IEICE Trans. Inf. Syst..

The Possibility of an Epidemic Meme Analogy for Web Community Population Analysis

Hiroshi Sato, Masao Kubo, Keitaro Naruse, 2007, IDEAL.

KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss

Takaharu Yaguchi, Takashi Matsubara, Yu-Hsueh Chen, 2021, AAAI.

Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems

Takaharu Yaguchi, Takashi Matsubara, Yu-Hsueh Chen, 2021, NeurIPS.

FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities

Takaharu Yaguchi, Takashi Matsubara, 2022, ICLR.

Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory pdf

Yuto Miyatake, Takashi Matsubara, Takaharu Yaguchi, 2021, NeurIPS.

Image generation using generative adversarial networks and attention mechanism

Takashi Matsubara, Kuniaki Uehara, Yuusuke Kataoka, 2016, 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS).

Deep State-Space Model for Noise Tolerant Skeleton-Based Action Recognition

Takashi Matsubara, Kuniaki Uehara, Kazuki Kawamura, 2020, IEICE Trans. Inf. Syst..

Learning vector quantized representation for cancer subtypes identification

M. Altaf-Ul-Amin, Shigehiko Kanaya, Lingwei Zhu, 2023, Comput. Methods Programs Biomed..

Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN

Takashi Matsubara, Kuniaki Uehara, Kenya Ukai, 2018, ACML.

Generative adversarial network based on chaotic time series

Takashi Matsubara, Makoto Naruse, Atsushi Uchida, 2019, Scientific Reports.

Deep Generative State-Space Modeling of FMRI Images for Psychiatric Disorder Diagnosis

Takashi Matsubara, Kuniaki Uehara, Koki Kusano, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model

Takashi Matsubara, Takehiro Aoshima, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Asynchronous Cellular Automaton-Based Neuron: Theoretical Analysis and On-FPGA Learning

Takashi Matsubara, Hiroyuki Torikai, H. Torikai, 2013, IEEE Transactions on Neural Networks and Learning Systems.

A Novel Bifurcation-Based Synthesis of Asynchronous Cellular Automaton Based Neuron

Takashi Matsubara, Hiroyuki Torikai, H. Torikai, 2012, ICANN.

Neuron-Like Responses and Bifurcations of a Generalized Asynchronous Sequential Logic Spiking Neuron Model

Takashi Matsubara, Hiroyuki Torikai, H. Torikai, 2012, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

A generalized asynchronous digital spiking neuron: Theoretical analysis and compartmental model

Takashi Matsubara, Hiroyuki Torikai, H. Torikai, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Bifurcation-based synthesis of asynchronous cellular automaton based neuron

Takashi Matsubara, Hiroyuki Torikai, H. Torikai, 2013 .

Neural Architecture Search for Convolutional Neural Networks with Attention

Takashi Matsubara, Kuniaki Uehara, Kohei Nakai, 2021, IEICE Trans. Inf. Syst..

Multi-Modal Entity Alignment Using Uncertainty Quantification for Modality Importance

Takashi Matsubara, Kenta Hama, 2023, IEEE Access.

Target-Oriented Deformation of Visual-Semantic Embedding Space

Takashi Matsubara, Takashi Matsubara, 2019, IEICE Trans. Inf. Syst..

Developing game AI agent behaving like human by mixing reinforcement learning and supervised learning

Xiao Zeng, Takashi Matsubara, Kuniaki Uehara, 2017, 2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD).

ChartPointFlow for Topology-Aware 3D Point Cloud Generation

Takashi Matsubara, Kuniaki Uehara, Takumi Kimura, 2020, ACM Multimedia.

Deep Generative Model of Individual Variability in fMRI Images of Psychiatric Patients

Takashi Matsubara, Kuniaki Uehara, Koki Kusano, 2020, IEEE Transactions on Biomedical Engineering.