Mahito Sugiyama

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 41

Top Topics

Feature Extraction

Boltzmann Machines

Top Venues

Intell. Data Anal.

Publications

Prasad Cheema, Mahito Sugiyama
StiefelGen: A Simple, Model Agnostic Approach for Time Series Data Augmentation over Riemannian Manifolds. CoRR (2024)
Ryuichi Kanoh, Mahito Sugiyama
Linear Mode Connectivity in Differentiable Tree Ensembles. CoRR (2024)
Profir-Petru Pârtachi, Mahito Sugiyama
Bringing Structure to Naturalness: On the Naturalness of ASTs. ICSE Companion (2024)
Masatsugu Yamada, Mahito Sugiyama
How graph features from message passing affect graph classification and regression? Intell. Data Anal. 28 (1) (2024)
Kiyotaka Matsue, Mahito Sugiyama
Unsupervised Tensor Based Feature Extraction From Multivariate Time Series. IEEE Access 11 (2023)
Kazu Ghalamkari, Mahito Sugiyama, Yoshinobu Kawahara
Many-body Approximation for Non-negative Tensors. NeurIPS (2023)
Masatsugu Yamada, Mahito Sugiyama
Molecular Graph Generation by Decomposition and Reassembling. CoRR (2023)
Ryuichi Kanoh, Mahito Sugiyama
Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel. ICLR (2023)
Kazu Ghalamkari, Mahito Sugiyama
Many-Body Approximation for Tensors. CoRR (2022)
Kazu Ghalamkari, Mahito Sugiyama
Fast Rank-1 NMF for Missing Data with KL Divergence. AISTATS (2022)
Ryuichi Kanoh, Mahito Sugiyama
A Neural Tangent Kernel Formula for Ensembles of Soft Trees with Arbitrary Architectures. CoRR (2022)
Kiyotaka Matsue, Mahito Sugiyama
Unsupervised feature extraction from multivariate time series for outlier detection. Intell. Data Anal. 26 (6) (2022)
Ryuichi Kanoh, Mahito Sugiyama
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles. ICLR (2022)
Kazu Ghalamkari, Mahito Sugiyama
Fast Rank-1 NMF for Missing Data with KL Divergence. CoRR (2021)
Yuhi Kawakami, Mahito Sugiyama
Investigating Overparameterization for Non-Negative Matrix Factorization in Collaborative Filtering. RecSys (2021)
Simon Luo, Lamiae Azizi, Mahito Sugiyama
Hierarchical probabilistic model for blind source separation via Legendre transformation. UAI (2021)
Ryuichi Kanoh, Mahito Sugiyama
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles. CoRR (2021)
Ryuichi Kanoh, Mahito Sugiyama
Unintended Effects on Adaptive Learning Rate for Training Neural Network with Output Scale Change. CoRR (2021)
Kazu Ghalamkari, Mahito Sugiyama
Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation. NeurIPS (2021)
Kiyotaka Matsue, Mahito Sugiyama
Unsupervised Tensor based Feature Extraction and Outlier Detection for Multivariate Time Series. DSAA (2021)
Kazu Ghalamkari, Mahito Sugiyama
A Closed Form Solution to Best Rank-1 Tensor Approximation via KL divergence Minimization. CoRR (2021)
Shota Hayashi, Mahito Sugiyama, Shin Matsushima
Coordinate Descent Method for Log-linear Model on Posets. DSAA (2020)
Kazu Ghalamkari, Mahito Sugiyama
Rank Reduction, Matrix Balancing, and Mean-Field Approximation on Statistical Manifold. CoRR (2020)
Md Sohel Ahmed, Fuyuki Ishikawa, Mahito Sugiyama
Testing machine learning code using polyhedral region. ESEC/SIGSOFT FSE (2020)
Simon Luo, Feng Zhou, Lamiae Azizi, Mahito Sugiyama
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes. CoRR (2020)
Prasad Cheema, Mahito Sugiyama
A Geometric Look at Double Descent Risk: Volumes, Singularities, and Distinguishabilities. CoRR (2020)
Simon Luo, Lamiae Azizi, Mahito Sugiyama
Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation. CoRR (2019)
Simon Luo, Mahito Sugiyama
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions. AAAI (2019)
Mahito Sugiyama, Karsten M. Borgwardt
Finding Statistically Significant Interactions between Continuous Features. IJCAI (2019)
Elena Bellodi, Ken Satoh, Mahito Sugiyama
Summarizing significant subgraphs by probabilistic logic programming. Intell. Data Anal. 23 (6) (2019)
Simon Luo, Mahito Sugiyama
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions. CoRR (2019)
Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
Legendre Tensor Decomposition. CoRR (2018)
Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
Legendre Decomposition for Tensors. NeurIPS (2018)
Mahito Sugiyama, M. Elisabetta Ghisu, Felipe Llinares-López, Karsten M. Borgwardt
graphkernels: R and Python packages for graph comparison. Bioinform. 34 (3) (2018)
Mahito Sugiyama, Koji Tsuda, Hiroyuki Nakahara
Transductive Boltzmann Machines. CoRR (2018)
Yuka Yoneda, Mahito Sugiyama, Takashi Washio
Learning Graph Representation via Formal Concept Analysis. CoRR (2018)
Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
Tensor Balancing on Statistical Manifold. CoRR (2017)
Mahito Sugiyama, Karsten M. Borgwardt
Significant Pattern Mining on Continuous Variables. CoRR (2017)
Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
Tensor Balancing on Statistical Manifold. ICML (2017)
Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
Information decomposition on structured space. ISIT (2016)
Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
Information Decomposition on Structured Space. CoRR (2016)
Felipe Llinares-López, Dominik G. Grimm, Dean A. Bodenham, Udo Gieraths, Mahito Sugiyama, Beth Rowan, Karsten M. Borgwardt
Genome-wide detection of intervals of genetic heterogeneity associated with complex traits. Bioinform. 31 (12) (2015)
Mahito Sugiyama, Karsten M. Borgwardt
Halting in Random Walk Kernels. NIPS (2015)
Mahito Sugiyama, Felipe Llinares-López, Niklas Kasenburg, Karsten M. Borgwardt
Significant Subgraph Mining with Multiple Testing Correction. SDM (2015)
Felipe Llinares-López, Mahito Sugiyama, Laetitia Papaxanthos, Karsten M. Borgwardt
Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing. KDD (2015)
Mahito Sugiyama, Felipe Llinares-López, Niklas Kasenburg, Karsten M. Borgwardt
Significant Subgraph Mining with Multiple Testing Correction. CoRR (2014)
Mahito Sugiyama, Chloé-Agathe Azencott, Dominik G. Grimm, Yoshinobu Kawahara, Karsten M. Borgwardt
Multi-Task Feature Selection on Multiple Networks via Maximum Flows. SDM (2014)
Felipe Llinares, Mahito Sugiyama, Karsten M. Borgwardt
Identifying Higher-order Combinations of Binary Features. CoRR (2014)
Mahito Sugiyama, Keisuke Otaki
Detecting Anomalous Subgraphs on Attributed Graphs via Parametric Flow. JSAI-isAI Workshops (2014)
Mahito Sugiyama, Akihiro Yamamoto
Semi-supervised learning on closed set lattices. Intell. Data Anal. 17 (3) (2013)
Chloé-Agathe Azencott, Dominik G. Grimm, Mahito Sugiyama, Yoshinobu Kawahara, Karsten M. Borgwardt
Efficient network-guided multi-locus association mapping with graph cuts. Bioinform. 29 (13) (2013)
Mahito Sugiyama, Eiju Hirowatari, Hideki Tsuiki, Akihiro Yamamoto
Learning figures with the Hausdorff metric by fractals - towards computable binary classification. Mach. Learn. 90 (1) (2013)
Mahito Sugiyama, Karsten M. Borgwardt
Measuring Statistical Dependence via the Mutual Information Dimension. IJCAI (2013)
Mahito Sugiyama
Outliers on Concept Lattices. JSAI-isAI Workshops (2013)
Mahito Sugiyama, Karsten M. Borgwardt
Rapid Distance-Based Outlier Detection via Sampling. NIPS (2013)
Keisuke Otaki, Mahito Sugiyama, Akihiro Yamamoto
Privacy Preserving Using Dummy Data for Set Operations in Itemset Mining Implemented with ZDDs. IEICE Trans. Inf. Syst. (12) (2012)
Mahito Sugiyama, Kentaro Imajo, Keisuke Otaki, Akihiro Yamamoto
Semi-Supervised Ligand Finding Using Formal Concept Analysis. Inf. Media Technol. 7 (3) (2012)
Mahito Sugiyama, Akihiro Yamamoto
A Fast and Flexible Clustering Algorithm Using Binary Discretization. ICDM (2011)
Mahito Sugiyama, Akihiro Yamamoto
Semi-supervised Learning for Mixed-Type Data via Formal Concept Analysis. ICCS (2011)
Mahito Sugiyama, Kentaro Imajo, Keisuke Otaki, Akihiro Yamamoto
Discovering Ligands for TRP Ion Channels Using Formal Concept Analysis. ILP (Late Breaking Papers) (2011)
Mahito Sugiyama, Akihiro Yamamoto
The Minimum Code Length for Clustering Using the Gray Code. ECML/PKDD (3) (2011)
Mahito Sugiyama, Eiju Hirowatari, Hideki Tsuiki, Akihiro Yamamoto
Learning Figures with the Hausdorff Metric by Fractals. ALT (2010)
Mahito Sugiyama, Akihiro Yamamoto
The Coding Divergence for Measuring the Complexity of Separating Two Sets. ACML (2010)