Takashi Matsubara

Yuto Miyatake

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Loss Function for Deep Learning to Model Dynamical Systems.

[BibT_eX]

[DOI]

Takahito Yoshida

IEICE Trans. Inf. Syst., 2024

Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains.

[BibT_eX]

[DOI]

Razmik Arman Khosrovian

Hiroaki Yoshimura

CoRR, 2024

Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

Kota Sueyoshi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Inverse Heat Dissipation Model for Medical Image Segmentation.

[BibT_eX]

[DOI]

Yu Kashihara

IEICE Trans. Inf. Syst., November, 2023

Learning vector quantized representation for cancer subtypes identification.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., June, 2023

Good Lattice Training: Physics-Informed Neural Networks Accelerated by Number Theory.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Modal Entity Alignment Using Uncertainty Quantification for Modality Importance.

[BibT_eX]

[DOI]

Kenta Hama

IEEE Access, 2023

A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

[BibT_eX]

[DOI]

Takehiro Aoshima

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Topology-Aware Flow-Based Point Cloud Generation.

[BibT_eX]

[DOI]

Takumi Kimura

IEEE Trans. Circuits Syst. Video Technol., 2022

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

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2022

Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2022

Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

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

[BibT_eX]

[DOI]

Yuhan Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2021

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

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2021

Neural Architecture Search for Convolutional Neural Networks with Attention.

[BibT_eX]

[DOI]

Kohei Nakai

IEICE Trans. Inf. Syst., 2021

Target-Oriented Deformation of Visual-Semantic Embedding Space.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2021

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

[BibT_eX]

[DOI]

Shunpei Terakawa

CoRR, 2021

Universal Approximation Properties of Neural Networks for Energy-Based Physical Systems.

[BibT_eX]

[DOI]

Yuhan Chen

Rousslan Fernand Julien Dossa

CoRR, 2021

An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization.

[BibT_eX]

[DOI]

Shengyi Huang

Santiago Ontañón

IEEE Access, 2021

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

[BibT_eX]

[DOI]

Yuto Miyatake

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems.

[BibT_eX]

[DOI]

Yuhan Chen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ChartPointFlow for Topology-Aware 3D Point Cloud Generation.

[BibT_eX]

[DOI]

Takumi Kimura

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Data Augmentation Using Random Image Cropping and Patching for Deep CNNs.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2020

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

[BibT_eX]

[DOI]

Kazuki Kawamura

Rousslan Fernand Julien Dossa

IEICE Trans. Inf. Syst., 2020

Hybrid of Reinforcement and Imitation Learning for Human-Like Agents.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2020

Kindai University and Osaka Gakuin University at TRECVID 2020 AVS and ActEV Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2020 TREC Video Retrieval Evaluation, 2020

Deep Energy-based Modeling of Discrete-Time Physics.

[BibT_eX]

[DOI]

Ai Ishikawa

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Att-DARTS: Differentiable Neural Architecture Search for Attention.

[BibT_eX]

[DOI]

Kohei Nakai

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A Novel Weight-Shared Multi-Stage CNN for Scale Robustness.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2019

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

[BibT_eX]

[DOI]

Tetsuo Tashiro

Rousslan Fernand Julien Dossa

IEEE Trans. Biomed. Eng., 2019

Generative adversarial network based on chaotic time series.

[BibT_eX]

[DOI]

CoRR, 2019

Kindai University and Kobe University at TRECVID 2019 AVS Task.

[BibT_eX]

[DOI]

Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019

Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

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

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

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

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Stock Price Prediction by Deep Neural Generative Model of News Articles.

[BibT_eX]

[DOI]

Ryo Akita

IEICE Trans. Inf. Syst., 2018

Structured Deep Generative Model of fMRI Signals for Mental Disorder Diagnosis.

[BibT_eX]

[DOI]

Tetsuo Tashiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score.

[BibT_eX]

[DOI]

Ryosuke Tachibana

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN.

[BibT_eX]

[DOI]

Kenya Ukai

Proceedings of The 10th Asian Conference on Machine Learning, 2018

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

[BibT_eX]

[DOI]

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

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

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2017

A Novel Weight-Shared Multi-Stage Network Architecture of CNNs for Scale Invariance.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, 2017

Automatic manga colorization with color style by generative adversarial nets.

[BibT_eX]

[DOI]

Yuusuke Kataoka

Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, 2017

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

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Scale-Invariant Recognition by Weight-Shared CNNs in Parallel.

[BibT_eX]

[DOI]

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Semi-Supervised learning using adversarial networks.

[BibT_eX]

[DOI]

Ryosuke Tachibana

Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016

Image generation using generative adversarial networks and attention mechanism.

[BibT_eX]

[DOI]

Yuusuke Kataoka

Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016

Deep learning for stock prediction using numerical and textual information.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016

2015

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

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015

2014

A nonlinear model of fMRI BOLD signal including the trend component.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

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

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

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

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012

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

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

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

[BibT_eX]

[DOI]

Tetsuya Hishiki

IEEE Trans. Circuits Syst. II Express Briefs, 2011

A novel asynchronous digital spiking neuron model and its various neuron-like bifurcations and responses.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Dynamic Response Behaviors of a Generalized Asynchronous Digital Spiking Neuron Model.

[BibT_eX]

[DOI]