Learning Figures with the Hausdorff Metric by Fractals. - Mahito Sugiyama; Eiju Hirowatari; Hideki Tsuiki; Akihiro Yamamoto (ALT, 2010)

The Coding Divergence for Measuring the Complexity of Separating Two Sets. - Mahito Sugiyama; Akihiro Yamamoto (ACML, 2010)

Semi-supervised Learning for Mixed-Type Data via Formal Concept Analysis. - Mahito Sugiyama; Akihiro Yamamoto (ICCS, 2011)

A Fast and Flexible Clustering Algorithm Using Binary Discretization. - Mahito Sugiyama; Akihiro Yamamoto (ICDM, 2011)

Discovering Ligands for TRP Ion Channels Using Formal Concept Analysis. - Mahito Sugiyama; Kentaro Imajo; Keisuke Otaki; Akihiro Yamamoto (ILP (Late Breaking Papers), 2011)

The Minimum Code Length for Clustering Using the Gray Code. - Mahito Sugiyama; Akihiro Yamamoto (ECML/PKDD (3), 2011)

Privacy Preserving Using Dummy Data for Set Operations in Itemset Mining Implemented with ZDDs. - Keisuke Otaki; Mahito Sugiyama; Akihiro Yamamoto (IEICE Trans. Inf. Syst., 2012)

Semi-Supervised Ligand Finding Using Formal Concept Analysis. - Mahito Sugiyama; Kentaro Imajo; Keisuke Otaki; Akihiro Yamamoto (Inf. Media Technol., 2012)

Measuring Statistical Dependence via the Mutual Information Dimension. - Mahito Sugiyama; Karsten M. Borgwardt (IJCAI, 2013)

Outliers on Concept Lattices. - Mahito Sugiyama (JSAI-isAI Workshops, 2013)

Rapid Distance-Based Outlier Detection via Sampling. - Mahito Sugiyama; Karsten M. Borgwardt (NIPS, 2013)

Efficient network-guided multi-locus association mapping with graph cuts. - Chloé-Agathe Azencott; Dominik G. Grimm; Mahito Sugiyama; Yoshinobu Kawahara; Karsten M. Borgwardt (Bioinform., 2013)

Semi-supervised learning on closed set lattices. - Mahito Sugiyama; Akihiro Yamamoto (Intell. Data Anal., 2013)

Learning figures with the Hausdorff metric by fractals - towards computable binary classification. - Mahito Sugiyama; Eiju Hirowatari; Hideki Tsuiki; Akihiro Yamamoto (Mach. Learn., 2013)

Detecting Anomalous Subgraphs on Attributed Graphs via Parametric Flow. - Mahito Sugiyama; Keisuke Otaki (JSAI-isAI Workshops, 2014)

Multi-Task Feature Selection on Multiple Networks via Maximum Flows. - Mahito Sugiyama; Chloé-Agathe Azencott; Dominik G. Grimm; Yoshinobu Kawahara; Karsten M. Borgwardt (SDM, 2014)

Identifying Higher-order Combinations of Binary Features. - Felipe Llinares; Mahito Sugiyama; Karsten M. Borgwardt (CoRR, 2014)

Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing. - Felipe Llinares-López; Mahito Sugiyama; Laetitia Papaxanthos; Karsten M. Borgwardt (KDD, 2015)

Halting in Random Walk Kernels. - Mahito Sugiyama; Karsten M. Borgwardt (NIPS, 2015)

Significant Subgraph Mining with Multiple Testing Correction. - Mahito Sugiyama; Felipe Llinares-López; Niklas Kasenburg; Karsten M. Borgwardt (SDM, 2015)

Genome-wide detection of intervals of genetic heterogeneity associated with complex traits. - Felipe Llinares-López; Dominik G. Grimm; Dean A. Bodenham; Udo Gieraths; Mahito Sugiyama; Beth Rowan; Karsten M. Borgwardt (Bioinform., 2015)

Information decomposition on structured space. - Mahito Sugiyama; Hiroyuki Nakahara; Koji Tsuda (ISIT, 2016)

Tensor Balancing on Statistical Manifold. - Mahito Sugiyama; Hiroyuki Nakahara; Koji Tsuda (ICML, 2017)

Significant Pattern Mining on Continuous Variables. - Mahito Sugiyama; Karsten M. Borgwardt (CoRR, 2017)

Legendre Decomposition for Tensors. - Mahito Sugiyama; Hiroyuki Nakahara; Koji Tsuda (NeurIPS, 2018)

graphkernels: R and Python packages for graph comparison. - Mahito Sugiyama; M. Elisabetta Ghisu; Felipe Llinares-López; Karsten M. Borgwardt (Bioinform., 2018)

Legendre Tensor Decomposition. - Mahito Sugiyama; Hiroyuki Nakahara; Koji Tsuda (CoRR, 2018)

Transductive Boltzmann Machines. - Mahito Sugiyama; Koji Tsuda; Hiroyuki Nakahara (CoRR, 2018)

Learning Graph Representation via Formal Concept Analysis. - Yuka Yoneda; Mahito Sugiyama; Takashi Washio (CoRR, 2018)

Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions. - Simon Luo; Mahito Sugiyama (AAAI, 2019)

Finding Statistically Significant Interactions between Continuous Features. - Mahito Sugiyama; Karsten M. Borgwardt (IJCAI, 2019)

Summarizing significant subgraphs by probabilistic logic programming. - Elena Bellodi; Ken Satoh; Mahito Sugiyama (Intell. Data Anal., 2019)

Coordinate Descent Method for Log-linear Model on Posets. - Shota Hayashi; Mahito Sugiyama; Shin Matsushima (DSAA, 2020)

Testing machine learning code using polyhedral region. - Md Sohel Ahmed; Fuyuki Ishikawa; Mahito Sugiyama (ESEC/SIGSOFT FSE, 2020)

A Geometric Look at Double Descent Risk: Volumes, Singularities, and Distinguishabilities. - Prasad Cheema; Mahito Sugiyama (CoRR, 2020)

Rank Reduction, Matrix Balancing, and Mean-Field Approximation on Statistical Manifold. - Kazu Ghalamkari; Mahito Sugiyama (CoRR, 2020)

Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes. - Simon Luo; Feng Zhou 011; Lamiae Azizi; Mahito Sugiyama (CoRR, 2020)

Unsupervised Tensor based Feature Extraction and Outlier Detection for Multivariate Time Series. - Kiyotaka Matsue; Mahito Sugiyama (DSAA, 2021)

Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation. - Kazu Ghalamkari; Mahito Sugiyama (NeurIPS, 2021)

Investigating Overparameterization for Non-Negative Matrix Factorization in Collaborative Filtering. - Yuhi Kawakami; Mahito Sugiyama (RecSys, 2021)

Hierarchical probabilistic model for blind source separation via Legendre transformation. - Simon Luo; Lamiae Azizi; Mahito Sugiyama (UAI, 2021)

A Closed Form Solution to Best Rank-1 Tensor Approximation via KL divergence Minimization. - Kazu Ghalamkari; Mahito Sugiyama (CoRR, 2021)

Unintended Effects on Adaptive Learning Rate for Training Neural Network with Output Scale Change. - Ryuichi Kanoh; Mahito Sugiyama (CoRR, 2021)

Fast Rank-1 NMF for Missing Data with KL Divergence. - Kazu Ghalamkari; Mahito Sugiyama (AISTATS, 2022)

A Neural Tangent Kernel Perspective of Infinite Tree Ensembles. - Ryuichi Kanoh; Mahito Sugiyama (ICLR, 2022)

A Neural Tangent Kernel Formula for Ensembles of Soft Trees with Arbitrary Architectures. - Ryuichi Kanoh; Mahito Sugiyama (CoRR, 2022)

Many-Body Approximation for Tensors. - Kazu Ghalamkari; Mahito Sugiyama (CoRR, 2022)

Unsupervised feature extraction from multivariate time series for outlier detection. - Kiyotaka Matsue; Mahito Sugiyama (Intell. Data Anal., 2022)

Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel. - Ryuichi Kanoh; Mahito Sugiyama (ICLR, 2023)

Many-body Approximation for Non-negative Tensors. - Kazu Ghalamkari; Mahito Sugiyama; Yoshinobu Kawahara (NeurIPS, 2023)

Unsupervised Tensor Based Feature Extraction From Multivariate Time Series. - Kiyotaka Matsue; Mahito Sugiyama (IEEE Access, 2023)

Molecular Graph Generation by Decomposition and Reassembling. - Masatsugu Yamada; Mahito Sugiyama (CoRR, 2023)

Neural Tangent Kernels for Axis-Aligned Tree Ensembles. - Ryuichi Kanoh; Mahito Sugiyama (ICML, 2024)

Bringing Structure to Naturalness: On the Naturalness of ASTs. - Profir-Petru Pârtachi; Mahito Sugiyama (ICSE Companion, 2024)

StiefelGen: A Simple, Model Agnostic Approach for Time Series Data Augmentation over Riemannian Manifolds. - Prasad Cheema; Mahito Sugiyama (CoRR, 2024)

Pseudo-Non-Linear Data Augmentation via Energy Minimization. - Pingbang Hu; Mahito Sugiyama (CoRR, 2024)

A Complete Decomposition of KL Error using Refined Information and Mode Interaction Selection. - James Enouen; Mahito Sugiyama (CoRR, 2024)

How graph features from message passing affect graph classification and regression? - Masatsugu Yamada; Mahito Sugiyama (Intell. Data Anal., 2024)

Linear Mode Connectivity in Differentiable Tree Ensembles. - Ryuichi Kanoh; Mahito Sugiyama (ICLR, 2025)

Optimal Submanifold Structure in Log-linear Models. - Zhou Derun; Mahito Sugiyama (UAI, 2025)

On the Cone Effect in the Learning Dynamics. - Zhanpeng Zhou; Yongyi Yang; Jie Ren; Mahito Sugiyama; Junchi Yan (CoRR, 2025)

New Evidence of the Two-Phase Learning Dynamics of Neural Networks. - Zhanpeng Zhou; Yongyi Yang; Mahito Sugiyama; Junchi Yan (CoRR, 2025)