Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding. - Atsushi Suzuki 002; Kohei Miyaguchi; Kenji Yamanishi (ICDM, 2016)

Exact Calculation of Normalized Maximum Likelihood Code Length Using Fourier Analysis. - Atsushi Suzuki 002; Kenji Yamanishi (ISIT, 2018)

Stable Geodesic Update on Hyperbolic Space and its Application to Poincare Embeddings. - Yosuke Enokida; Atsushi Suzuki 002; Kenji Yamanishi (CoRR, 2018)

Orderly Subspace Clustering. - Jing Wang 023; Atsushi Suzuki 002; Linchuan Xu; Feng Tian 006; Liang Yang 002; Kenji Yamanishi (AAAI, 2019)

Hyperbolic Ordinal Embedding. - Atsushi Suzuki 002; Jing Wang 023; Feng Tian 006; Atsushi Nitanda; Kenji Yamanishi (ACML, 2019)

Attributed Subspace Clustering. - Jing Wang 023; Linchuan Xu; Feng Tian 006; Atsushi Suzuki 002; Changqing Zhang 002; Kenji Yamanishi (IJCAI, 2019)

Generalization Error Bound for Hyperbolic Ordinal Embedding. - Atsushi Suzuki 002; Atsushi Nitanda; Jing Wang 023; Linchuan Xu; Kenji Yamanishi; Marc Cavazza (ICML, 2021)

Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic. - Atsushi Suzuki 002; Atsushi Nitanda; Jing Wang 023; Linchuan Xu; Kenji Yamanishi; Marc Cavazza (NeurIPS, 2021)

Fourier-Analysis-Based Form of Normalized Maximum Likelihood: Exact Formula and Relation to Complex Bayesian Prior. - Atsushi Suzuki 002; Kenji Yamanishi (IEEE Trans. Inf. Theory, 2021)

RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation. - Zipei Yan; Linchuan Xu; Atsushi Suzuki 002; Jing Wang 023; Jiannong Cao 001; Jun Huang 003 (IEEE Big Data, 2022)

Dimensionality and Curvature Selection of Graph Embedding using Decomposed Normalized Maximum Likelihood Code-Length. - Ryo Yuki; Atsushi Suzuki 002; Kenji Yamanishi (ICDM, 2023)

Tight and fast generalization error bound of graph embedding in metric space. - Atsushi Suzuki 002; Atsushi Nitanda; Taiji Suzuki; Jing Wang 023; Feng Tian 006; Kenji Yamanishi (ICML, 2023)

Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models. - Atsushi Suzuki 002; Kota Fukuzawa; Kenji Yamanishi (CoRR, 2024)

MGGA: Universal Perturbations against Deepfake via Multiple Model-based Gradient-Guided Feature Layer Attack. - Zhi Cao 012; Zhongyuan Wang 001; Run Wang 001; Yuhong Yang 001; Feng Tian 006; Gang Wu 010; Atsushi Suzuki 002 (DFF@MM, 2025)

Normalized Maximum Likelihood Code-Length on Riemannian Manifold Data Spaces. - Kota Fukuzawa; Atsushi Suzuki 002; Kenji Yamanishi (CoRR, 2025)

GLoMOT: Efficient Online GNN-based Low-Frame-Rate Multi-Object Tracker. - Yaxuan Hu 001; Jie Hua 005; Gang Wu 010; Yuhong Yang 001; Atsushi Suzuki 002; Zhongyuan Wang 001 (AAAI, 2026)

Normalized Maximum Likelihood Code-Length on Riemannian Data Spaces. - Kota Fukuzawa; Atsushi Suzuki 002; Kenji Yamanishi (IEEE Trans. Inf. Theory, 2026)