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Kensuke Nakamura

Orcid: 0000-0002-6858-3551

Affiliations:
  • Chung-Ang University (CAU), Artificial Intelligence Department, Seoul, Korea
  • Kyoto Institute of Technology, Japan (PhD 2012)


According to our database1, Kensuke Nakamura authored at least 13 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation.
[BibTeX]
[DOI]
Kensuke Nakamura
,
Bong-Soo Sohn
,
Simon Korman
,
Byung-Woo Hong
IEEE Access, 2025

Decoupled Latent Diffusion Model for Enhancing Image Generation.
[BibTeX]
[DOI]
Hyun-Tae Choi
,
Kensuke Nakamura
,
Byung-Woo Hong
IEEE Access, 2025

2024
Generative adversarial networks via a composite annealing of noise and diffusion.
[BibTeX]
[DOI]
Kensuke Nakamura
,
Simon Korman
,
Byung-Woo Hong
Pattern Recognit., February, 2024

Splitting of Composite Neural Networks via Proximal Operator With Information Bottleneck.
[BibTeX]
[DOI]
Sang-Il Han
,
Kensuke Nakamura
,
Byung-Woo Hong
IEEE Access, 2024

2023
A Continual Learning Algorithm Based on Orthogonal Gradient Descent Beyond Neural Tangent Kernel Regime.
[BibTeX]
[DOI]
Da Eun Lee
,
Kensuke Nakamura
,
Jaeho Tak
,
Byung-Woo Hong
IEEE Access, 2023

2022
Stochastic batch size for adaptive regularization in deep network optimization.
[BibTeX]
[DOI]
Kensuke Nakamura
,
Stefano Soatto
,
Byung-Woo Hong
Pattern Recognit., 2022

Regularization in Network Optimization via Trimmed Stochastic Gradient Descent With Noisy Label.
[BibTeX]
[DOI]
Kensuke Nakamura
,
Bong-Soo Sohn
,
Kyoung-Jae Won
,
Byung-Woo Hong
IEEE Access, 2022

2021
Block-cyclic stochastic coordinate descent for deep neural networks.
[BibTeX]
[DOI]
Kensuke Nakamura
,
Stefano Soatto
,
Byung-Woo Hong
Neural Networks, 2021

Stabilization of generative adversarial networks via noisy scale-space.
[BibTeX]
[DOI]
Kensuke Nakamura
,
Simon Korman
,
Byung-Woo Hong
CoRR, 2021

2020
Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label.
[BibTeX]
[DOI]
Kensuke Nakamura
,
Byung-Woo Hong
CoRR, 2020

2019
Adaptive Weight Decay for Deep Neural Networks.
[BibTeX]
[DOI]
Kensuke Nakamura
,
Byung-Woo Hong
IEEE Access, 2019

2017
Hierarchical image segmentation via recursive superpixel with adaptive regularity.
[BibTeX]
[DOI]
Kensuke Nakamura
,
Byung-Woo Hong
J. Electronic Imaging, 2017

2016
Fast-convergence superpixel algorithm via an approximate optimization.
[BibTeX]
[DOI]
Kensuke Nakamura
,
Byung-Woo Hong
J. Electronic Imaging, 2016


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