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Kensuke Nakamura
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Journal Articles
- 2024
- [j16]Sang-Il Han, Kensuke Nakamura, Byung-Woo Hong:
Splitting of Composite Neural Networks via Proximal Operator With Information Bottleneck. IEEE Access 12: 157-167 (2024) - [j15]Kensuke Nakamura, Simon Korman, Byung-Woo Hong:
Generative adversarial networks via a composite annealing of noise and diffusion. Pattern Recognit. 146: 110034 (2024) - 2023
- [j14]Da Eun Lee, Kensuke Nakamura, Jaeho Tak, Byung-Woo Hong:
A Continual Learning Algorithm Based on Orthogonal Gradient Descent Beyond Neural Tangent Kernel Regime. IEEE Access 11: 85395-85404 (2023) - 2022
- [j13]Kensuke Nakamura, Bong-Soo Sohn, Kyoung-Jae Won, Byung-Woo Hong:
Regularization in Network Optimization via Trimmed Stochastic Gradient Descent With Noisy Label. IEEE Access 10: 34706-34715 (2022) - [j12]Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong:
Stochastic batch size for adaptive regularization in deep network optimization. Pattern Recognit. 129: 108776 (2022) - [j11]Haimin Hu, Kensuke Nakamura, Jaime F. Fisac:
SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction. IEEE Robotics Autom. Lett. 7(2): 5591-5598 (2022) - 2021
- [j10]Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong:
Block-cyclic stochastic coordinate descent for deep neural networks. Neural Networks 139: 348-357 (2021) - 2019
- [j9]Kensuke Nakamura, Byung-Woo Hong:
Adaptive Weight Decay for Deep Neural Networks. IEEE Access 7: 118857-118865 (2019) - 2018
- [j8]Ryota Inokuchi, Hiromu Maehara, Satoshi Iwai, Masao Iwagami, Hajime Sato, Yoko Yamaguchi, Toshifumi Asada, Miyuki Yamamoto, Kensuke Nakamura, Takahiro Hiruma, Kent Doi, Naoto Morimura:
Interface design dividing physical findings into medical and trauma findings facilitates clinical document entry in the emergency department: A prospective observational study. Int. J. Medical Informatics 112: 143-148 (2018) - 2017
- [j7]Kensuke Nakamura, Byung-Woo Hong:
Hierarchical image segmentation via recursive superpixel with adaptive regularity. J. Electronic Imaging 26(6): 61602 (2017) - 2016
- [j6]Kensuke Nakamura, Byung-Woo Hong:
Fast-convergence superpixel algorithm via an approximate optimization. J. Electronic Imaging 25(5): 053035 (2016) - 2014
- [j5]Kun Qian, Takehiro Ando, Kensuke Nakamura, Hongen Liao, Etsuko Kobayashi, Naoki Yahagi, Ichiro Sakuma:
Ultrasound imaging method for internal jugular vein measurement and estimation of circulating blood volume. Int. J. Comput. Assist. Radiol. Surg. 9(2): 231-239 (2014) - [j4]Kazuya Takagi, Satoshi Kondo, Kensuke Nakamura, Mitsuyoshi Takiguchi:
Lesion Type Classification by Applying Machine-Learning Technique to Contrast-Enhanced Ultrasound Images. IEICE Trans. Inf. Syst. 97-D(11): 2947-2954 (2014) - 2010
- [j3]Kensuke Nakamura, Takao Kurokawa:
Description of human body shape using an isomorphic polygon. Int. J. Intell. Syst. Technol. Appl. 9(3/4): 239-252 (2010) - 2009
- [j2]Kensuke Nakamura, Takao Kurokawa:
Analysis and classification of three-dimensional trunk shape of women by using the human body shape model. Int. J. Comput. Appl. Technol. 34(4): 278-284 (2009) - 2007
- [j1]Xiujun Gong, Kensuke Nakamura, Hua Yu, Kei Yura, Nobuhiro Go:
BAAQ: An Infrastructure for Application Integration and Knowledge Discovery in Bioinformatics. IEEE Trans. Inf. Technol. Biomed. 11(4): 428-434 (2007)
Conference and Workshop Papers
- 2023
- [c7]Haimin Hu, Kensuke Nakamura, Kai-Chieh Hsu, Naomi Ehrich Leonard, Jaime Fernández Fisac:
Emergent Coordination Through Game-Induced Nonlinear Opinion Dynamics. CDC 2023: 8122-8129 - [c6]Haimin Hu, Zixu Zhang, Kensuke Nakamura, Andrea Bajcsy, Jaime Fernández Fisac:
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy. CoRL 2023: 3830-3850 - [c5]Javier Borquez, Kensuke Nakamura, Somil Bansal:
Parameter-Conditioned Reachable Sets for Updating Safety Assurances Online. ICRA 2023: 10553-10559 - [c4]Kensuke Nakamura, Somil Bansal:
Online Update of Safety Assurances Using Confidence-Based Predictions. ICRA 2023: 12765-12771 - 2022
- [c3]Kensuke Nakamura, María Santos, Naomi Ehrich Leonard:
Decentralized Learning With Limited Communications for Multi-robot Coverage of Unknown Spatial Fields. IROS 2022: 9980-9986 - 2010
- [c2]Farit Mochamad Afendi, Latifah K. Darusman, Aki Hirai, Md. Altaf-Ul-Amin, Hiroki Takahashi, Kensuke Nakamura, Shigehiko Kanaya:
System Biology Approach for Elucidating the Relationship Between Indonesian Herbal Plants and the Efficacy of Jamu. ICDM Workshops 2010: 661-668 - 2006
- [c1]Xiujun Gong, Kensuke Nakamura, Kei Yura, Nobuhiro Go:
Toward building grid applications in bioinformatics. ACSW 2006: 17-23
Informal and Other Publications
- 2024
- [i12]Kensuke Nakamura, Ran Tian, Andrea Bajcsy:
A General Calibrated Regret Metric for Detecting and Mitigating Human-Robot Interaction Failures. CoRR abs/2403.04745 (2024) - 2023
- [i11]Haimin Hu, Kensuke Nakamura, Kai-Chieh Hsu, Naomi Ehrich Leonard, Jaime Fernández Fisac:
Emergent Coordination through Game-Induced Nonlinear Opinion Dynamics. CoRR abs/2304.02687 (2023) - [i10]Haimin Hu, Zixu Zhang, Kensuke Nakamura, Andrea Bajcsy, Jaime F. Fisac:
Learning-Aware Safety for Interactive Autonomy. CoRR abs/2309.01267 (2023) - 2022
- [i9]Kensuke Nakamura, María Santos, Naomi Ehrich Leonard:
Decentralized Learning With Limited Communications for Multi-robot Coverage of Unknown Spatial Fields. CoRR abs/2208.01800 (2022) - [i8]Javier Borquez, Kensuke Nakamura, Somil Bansal:
Parameter-Conditioned Reachable Sets for Updating Safety Assurances Online. CoRR abs/2209.14976 (2022) - [i7]Kensuke Nakamura, Somil Bansal:
Online Update of Safety Assurances Using Confidence-Based Predictions. CoRR abs/2210.01199 (2022) - 2021
- [i6]Kensuke Nakamura, Simon Korman, Byung-Woo Hong:
Stabilization of generative adversarial networks via noisy scale-space. CoRR abs/2105.00220 (2021) - [i5]Haimin Hu, Kensuke Nakamura, Jaime F. Fisac:
SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction. CoRR abs/2110.00843 (2021) - 2020
- [i4]Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong:
Stochastic batch size for adaptive regularization in deep network optimization. CoRR abs/2004.06341 (2020) - [i3]Kensuke Nakamura, Byung-Woo Hong:
Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label. CoRR abs/2012.11073 (2020) - 2019
- [i2]Kensuke Nakamura, Byung-Woo Hong:
Adaptive Weight Decay for Deep Neural Networks. CoRR abs/1907.08931 (2019) - 2017
- [i1]Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong:
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks. CoRR abs/1711.07190 (2017)
Coauthor Index
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