Mahito Sugiyama

Orcid: 0000-0001-5907-9831

According to our database1, Mahito Sugiyama authored at least 53 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
How graph features from message passing affect graph classification and regression?
Intell. Data Anal., 2024

StiefelGen: A Simple, Model Agnostic Approach for Time Series Data Augmentation over Riemannian Manifolds.
CoRR, 2024

2023
Molecular Graph Generation by Decomposition and Reassembling.
CoRR, 2023

Unsupervised Tensor Based Feature Extraction From Multivariate Time Series.
IEEE Access, 2023

Many-body Approximation for Non-negative Tensors.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Unsupervised feature extraction from multivariate time series for outlier detection.
Intell. Data Anal., 2022

Many-Body Approximation for Tensors.
CoRR, 2022

A Neural Tangent Kernel Formula for Ensembles of Soft Trees with Arbitrary Architectures.
CoRR, 2022

A Neural Tangent Kernel Perspective of Infinite Tree Ensembles.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Fast Rank-1 NMF for Missing Data with KL Divergence.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Unintended Effects on Adaptive Learning Rate for Training Neural Network with Output Scale Change.
CoRR, 2021

A Closed Form Solution to Best Rank-1 Tensor Approximation via KL divergence Minimization.
CoRR, 2021

Hierarchical probabilistic model for blind source separation via Legendre transformation.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Investigating Overparameterization for Non-Negative Matrix Factorization in Collaborative Filtering.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Tensor based Feature Extraction and Outlier Detection for Multivariate Time Series.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes.
CoRR, 2020

Rank Reduction, Matrix Balancing, and Mean-Field Approximation on Statistical Manifold.
CoRR, 2020

A Geometric Look at Double Descent Risk: Volumes, Singularities, and Distinguishabilities.
CoRR, 2020

Testing machine learning code using polyhedral region.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Coordinate Descent Method for Log-linear Model on Posets.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
Summarizing significant subgraphs by probabilistic logic programming.
Intell. Data Anal., 2019

Finding Statistically Significant Interactions between Continuous Features.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning Graph Representation via Formal Concept Analysis.
CoRR, 2018

Transductive Boltzmann Machines.
CoRR, 2018

Legendre Tensor Decomposition.
CoRR, 2018

graphkernels: R and Python packages for graph comparison.
Bioinform., 2018

Legendre Decomposition for Tensors.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Significant Pattern Mining on Continuous Variables.
CoRR, 2017

Tensor Balancing on Statistical Manifold.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Information decomposition on structured space.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
Genome-wide detection of intervals of genetic heterogeneity associated with complex traits.
Bioinform., 2015

Significant Subgraph Mining with Multiple Testing Correction.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Halting in Random Walk Kernels.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Identifying Higher-order Combinations of Binary Features.
CoRR, 2014

Multi-Task Feature Selection on Multiple Networks via Maximum Flows.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Detecting Anomalous Subgraphs on Attributed Graphs via Parametric Flow.
Proceedings of the New Frontiers in Artificial Intelligence, 2014

2013
Learning figures with the Hausdorff metric by fractals - towards computable binary classification.
Mach. Learn., 2013

Semi-supervised learning on closed set lattices.
Intell. Data Anal., 2013

Efficient network-guided multi-locus association mapping with graph cuts.
Bioinform., 2013

Rapid Distance-Based Outlier Detection via Sampling.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Outliers on Concept Lattices.
Proceedings of the New Frontiers in Artificial Intelligence, 2013

Measuring Statistical Dependence via the Mutual Information Dimension.
Proceedings of the IJCAI 2013, 2013

2012
Privacy Preserving Using Dummy Data for Set Operations in Itemset Mining Implemented with ZDDs.
IEICE Trans. Inf. Syst., 2012

2011
The Minimum Code Length for Clustering Using the Gray Code.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Discovering Ligands for TRP Ion Channels Using Formal Concept Analysis.
Proceedings of the Latest Advances in Inductive Logic Programming, 2011

A Fast and Flexible Clustering Algorithm Using Binary Discretization.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Semi-supervised Learning for Mixed-Type Data via Formal Concept Analysis.
Proceedings of the Conceptual Structures for Discovering Knowledge, 2011

2010
The Coding Divergence for Measuring the Complexity of Separating Two Sets.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Learning Figures with the Hausdorff Metric by Fractals.
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010


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