Atsushi Suzuki

18 papers A* 8B 2C 1Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	GLoMOT: Efficient Online GNN-based Low-Frame-Rate Multi-Object Tracker. AAAI Yaxuan Hu, Jie Hua, Gang Wu, Yuhong Yang, Atsushi Suzuki, Zhongyuan Wang
2025	—	`conf`	MGGA: Universal Perturbations against Deepfake via Multiple Model-based Gradient-Guided Feature Layer Attack. DFF@MM Zhi Cao, Zhongyuan Wang, Run Wang, Yuhong Yang, Feng Tian, Gang Wu, Atsushi Suzuki
2025	J	`jnl`	Normalized Maximum Likelihood Code-Length on Riemannian Manifold Data Spaces. CoRR Kota Fukuzawa, Atsushi Suzuki, Kenji Yamanishi
2024	J	`jnl`	Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models. CoRR Atsushi Suzuki, Kota Fukuzawa, Kenji Yamanishi
2023	A*	`conf`	Dimensionality and Curvature Selection of Graph Embedding using Decomposed Normalized Maximum Likelihood Code-Length. ICDM Ryo Yuki, Atsushi Suzuki, Kenji Yamanishi
2023	A*	`conf`	Tight and fast generalization error bound of graph embedding in metric space. ICML Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi
2023	J	`jnl`	Tight and fast generalization error bound of graph embedding in metric space. CoRR Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi
2022	B	`conf`	RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation. IEEE Big Data Zipei Yan, Linchuan Xu, Atsushi Suzuki, Jing Wang, Jiannong Cao, Jun Huang
2021	J	`jnl`	Fourier-Analysis-Based Form of Normalized Maximum Likelihood: Exact Formula and Relation to Complex Bayesian Prior. IEEE Trans. Inf. Theory Atsushi Suzuki, Kenji Yamanishi
2021	A*	`conf`	Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic. NeurIPS Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza
2021	A*	`conf`	Generalization Error Bound for Hyperbolic Ordinal Embedding. ICML Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza
2021	J	`jnl`	Generalization Error Bound for Hyperbolic Ordinal Embedding. CoRR Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Marc Cavazza, Kenji Yamanishi
2019	A*	`conf`	Attributed Subspace Clustering. IJCAI Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi
2019	C	`conf`	Hyperbolic Ordinal Embedding. ACML Atsushi Suzuki, Jing Wang, Feng Tian, Atsushi Nitanda, Kenji Yamanishi
2019	A*	`conf`	Orderly Subspace Clustering. AAAI Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi
2018	B	`conf`	Exact Calculation of Normalized Maximum Likelihood Code Length Using Fourier Analysis. ISIT Atsushi Suzuki, Kenji Yamanishi
2018	J	`jnl`	Stable Geodesic Update on Hyperbolic Space and its Application to Poincare Embeddings. CoRR Yosuke Enokida, Atsushi Suzuki, Kenji Yamanishi
2016	A*	`conf`	Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding. ICDM Atsushi Suzuki, Kohei Miyaguchi, Kenji Yamanishi