Kensuke Nakamura

17 papers Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decoupled Latent Diffusion Model for Enhancing Image Generation. IEEE Access Hyun-Tae Choi, Kensuke Nakamura, Byung-Woo Hong
2025	J	`jnl`	Diffusion Models With Implicit Conditions Driven by Latent Shifts. IEEE Access Da Eun Lee, Kensuke Nakamura, Byung-Woo Hong
2025	J	`jnl`	Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation. IEEE Access Kensuke Nakamura, Bong-Soo Sohn, Simon Korman, Byung-Woo Hong
2024	J	`jnl`	Generative adversarial networks via a composite annealing of noise and diffusion. Pattern Recognit. Kensuke Nakamura, Simon Korman, Byung-Woo Hong
2024	J	`jnl`	Splitting of Composite Neural Networks via Proximal Operator With Information Bottleneck. IEEE Access Sang-Il Han, Kensuke Nakamura, Byung-Woo Hong
2023	J	`jnl`	A Continual Learning Algorithm Based on Orthogonal Gradient Descent Beyond Neural Tangent Kernel Regime. IEEE Access Da Eun Lee, Kensuke Nakamura, Jaeho Tak, Byung-Woo Hong
2022	J	`jnl`	Regularization in Network Optimization via Trimmed Stochastic Gradient Descent With Noisy Label. IEEE Access Kensuke Nakamura, Bong-Soo Sohn, Kyoung-Jae Won, Byung-Woo Hong
2022	J	`jnl`	Stochastic batch size for adaptive regularization in deep network optimization. Pattern Recognit. Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
2021	J	`jnl`	Block-cyclic stochastic coordinate descent for deep neural networks. Neural Networks Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
2021	J	`jnl`	Stabilization of generative adversarial networks via noisy scale-space. CoRR Kensuke Nakamura, Simon Korman, Byung-Woo Hong
2020	J	`jnl`	Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label. CoRR Kensuke Nakamura, Byung-Woo Hong
2020	J	`jnl`	Stochastic batch size for adaptive regularization in deep network optimization. CoRR Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
2019	J	`jnl`	Adaptive Weight Decay for Deep Neural Networks. IEEE Access Kensuke Nakamura, Byung-Woo Hong
2019	J	`jnl`	Adaptive Weight Decay for Deep Neural Networks. CoRR Kensuke Nakamura, Byung-Woo Hong
2017	J	`jnl`	Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks. CoRR Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
2017	J	`jnl`	Hierarchical image segmentation via recursive superpixel with adaptive regularity. J. Electronic Imaging Kensuke Nakamura, Byung-Woo Hong
2016	J	`jnl`	Fast-convergence superpixel algorithm via an approximate optimization. J. Electronic Imaging Kensuke Nakamura, Byung-Woo Hong