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ORCIDAtsushi Suzuki 0002
Person information
- affiliation: University of Hong Kong, Hong Kong, SAR, China
Other persons with the same name
- Atsushi Suzuki — disambiguation page
- Atsushi Suzuki 0001
![[0009-0009-1575-5725]](https://dblp.org/img/orcid-mark.12x12.png "0009-0009-1575-5725")
— JX Metals Resources Exploration & Development Co., Ltd, Tokyo, Japan
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2020 – today
- 2025
[c11]Zhi Cao, Zhongyuan Wang, Run Wang, Yuhong Yang, Feng Tian, Gang Wu, Atsushi Suzuki:
MGGA: Universal Perturbations against Deepfake via Multiple Model-based Gradient-Guided Feature Layer Attack. DFF@MM 2025: 73-82- [i5]Kota Fukuzawa, Atsushi Suzuki, Kenji Yamanishi:
Normalized Maximum Likelihood Code-Length on Riemannian Manifold Data Spaces. CoRR abs/2508.21466 (2025) - 2024
- [i4]Atsushi Suzuki, Kota Fukuzawa, Kenji Yamanishi:
Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models. CoRR abs/2409.08387 (2024) - 2023
- [c10]Ryo Yuki, Atsushi Suzuki, Kenji Yamanishi:
Dimensionality and Curvature Selection of Graph Embedding using Decomposed Normalized Maximum Likelihood Code-Length. ICDM 2023: 1517-1522 - [c9]Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi:
Tight and fast generalization error bound of graph embedding in metric space. ICML 2023: 33268-33284 - [i3]Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi:
Tight and fast generalization error bound of graph embedding in metric space. CoRR abs/2305.07971 (2023) - 2022
- [c8]Zipei Yan, Linchuan Xu, Atsushi Suzuki, Jing Wang, Jiannong Cao, Jun Huang:
RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation. IEEE Big Data 2022: 1172-1181 - 2021
- [j1]Atsushi Suzuki, Kenji Yamanishi:
Fourier-Analysis-Based Form of Normalized Maximum Likelihood: Exact Formula and Relation to Complex Bayesian Prior. IEEE Trans. Inf. Theory 67(9): 6164-6178 (2021) - [c7]Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza:
Generalization Error Bound for Hyperbolic Ordinal Embedding. ICML 2021: 10011-10021 - [c6]Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza:
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic. NeurIPS 2021: 1243-1255 - [i2]Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Marc Cavazza, Kenji Yamanishi:
Generalization Error Bound for Hyperbolic Ordinal Embedding. CoRR abs/2105.10475 (2021)
2010 – 2019
- 2019
- [c5]Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi:
Orderly Subspace Clustering. AAAI 2019: 5264-5272 - [c4]Atsushi Suzuki, Jing Wang, Feng Tian, Atsushi Nitanda, Kenji Yamanishi:
Hyperbolic Ordinal Embedding. ACML 2019: 1065-1080 - [c3]Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi:
Attributed Subspace Clustering. IJCAI 2019: 3719-3725 - 2018
- [c2]Atsushi Suzuki, Kenji Yamanishi:
Exact Calculation of Normalized Maximum Likelihood Code Length Using Fourier Analysis. ISIT 2018: 1211-1215 - [i1]Yosuke Enokida, Atsushi Suzuki, Kenji Yamanishi:
Stable Geodesic Update on Hyperbolic Space and its Application to Poincare Embeddings. CoRR abs/1805.10487 (2018) - 2016
- [c1]Atsushi Suzuki, Kohei Miyaguchi, Kenji Yamanishi:
Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding. ICDM 2016: 1221-1226
Coauthor Index
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