Hiroaki Sasaki

According to our database, Hiroaki Sasaki authored at least 36 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding.

Hiroaki Sasaki

CoRR, 2024

2022

Graph Embedding with Outlier-Robust Ratio Estimation.

Kaito Satta, Hiroaki Sasaki

IEICE Trans. Inf. Syst., October, 2022

Representation Learning for Maximization of MI, Nonlinear ICA and Nonlinear Subspaces with Robust Density Ratio Estimation.

Hiroaki Sasaki, Takashi Takenouchi

J. Mach. Learn. Res., 2022

Mode estimation on matrix manifolds: Convergence and robustness.

Hiroaki Sasaki, Jun-Ichiro Hirayama, Takafumi Kanamori

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

A unified view for unsupervised representation learning with density ratio estimation: Maximization of mutual information, nonlinear ICA and nonlinear subspace estimation.

Hiroaki Sasaki, Takashi Takenouchi

CoRR, 2021

2020

Robust contrastive learning and nonlinear ICA in the presence of outliers.

Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvärinen

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Robust modal regression with direct gradient approximation of modal regression risk.

Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Direct Log-Density Gradient Estimation with Gaussian Mixture Models and Its Application to Clustering.

Qi Zhang, Hiroaki Sasaki, Kazushi Ikeda

IEICE Trans. Inf. Syst., 2019

Robust modal regression with direct log-density derivative estimation.

Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori

CoRR, 2019

Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning.

Aapo Hyvärinen, Hiroaki Sasaki, Richard E. Turner

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities.

Hiroaki Sasaki, Voot Tangkaratt, Gang Niu, Masashi Sugiyama

Neural Comput., 2018

Neural-Kernelized Conditional Density Estimation.

Hiroaki Sasaki, Aapo Hyvärinen

CoRR, 2018

Anomaly Detection of Roads from Driving Data Using a Statistical Discrepancy Measure.

Kazushi Ikeda, Takatomi Kubo, Hiroaki Sasaki, Masataka Mori, Kentarou Hitomi, Kazuhito Takenaka, Kenji Muto

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction.

Voot Tangkaratt, Hiroaki Sasaki, Masashi Sugiyama

Neural Comput., 2017

Simultaneous Estimation of Nongaussian Components and Their Correlation Structure.

Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen

Neural Comput., 2017

Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios.

Hiroaki Sasaki, Takafumi Kanamori, Aapo Hyvärinen, Gang Niu, Masashi Sugiyama

J. Mach. Learn. Res., 2017

Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios.

Hiroaki Sasaki, Takafumi Kanamori, Masashi Sugiyama

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds.

Mina Ashizawa, Hiroaki Sasaki, Tomoya Sakai, Masashi Sugiyama

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Whitening-Free Least-Squares Non-Gaussian Component Analysis.

Hiroaki Shiino, Hiroaki Sasaki, Gang Niu, Masashi Sugiyama

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation.

Ikko Yamane, Hiroaki Sasaki, Masashi Sugiyama

Neural Comput., 2016

Direct Density Derivative Estimation.

Hiroaki Sasaki, Yung-Kyun Noh, Gang Niu, Masashi Sugiyama

Neural Comput., 2016

Modal Regression via Direct Log-Density Derivative Estimation.

Hiroaki Sasaki, Yurina Ono, Masashi Sugiyama

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Non-Gaussian Component Analysis with Log-Density Gradient Estimation.

Hiroaki Sasaki, Gang Niu, Masashi Sugiyama

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Key rate of the B92 quantum key distribution protocol with finite qubits.

Hiroaki Sasaki, Ryutaroh Matsumoto, Tomohiko Uyematsu

Proceedings of the IEEE International Symposium on Information Theory, 2015

Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation.

Hiroaki Sasaki, Yung-Kyun Noh, Masashi Sugiyama

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities.

Hiroaki Sasaki, Voot Tangkaratt, Masashi Sugiyama

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014

Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density.

Hiroaki Sasaki, Aapo Hyvärinen, Masashi Sugiyama

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations.

Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Correlated topographic analysis: estimating an ordering of correlated components.

Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen

Mach. Learn., 2013

Differential Base Pattern Coding for Cache Line Data Compression.

Haruhiko Kaneko, Satoshi Fujii, Hiroaki Sasaki

Proceedings of the 2013 Data Compression Conference, 2013

A system for visualizing human behavior based on car metaphors.

Hiroaki Sasaki, Tsutomu Terada, Masahiko Tsukamoto

Proceedings of the 4th Augmented Human International Conference, 2013

2012

Topographic Analysis of Correlated Components.

Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen

Proceedings of the 4th Asian Conference on Machine Learning, 2012

2010

Neural implementation of coarse-to-fine processing in V1 simple neurons.

Hiroaki Sasaki, Shunji Satoh, Shiro Usui

Neurocomputing, 2010

Efficient Representation by Horizontal Connection in Primary Visual Cortex.

Hiroaki Sasaki, Shunji Satoh, Shiro Usui

Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

2009

Super resolution: Another computational role of short-range horizontal connection in the primary visual cortex.

Hiroaki Sasaki, Shunji Satoh

Neural Networks, 2009

2004

Validation and applications of GLI Ocean product.

Hiroshi Murakami, Kosei Sasaoka, Kohtaro Hosoda, Mayumi Yoshida, Yasushi Mitomi, Akira Mukaida, Hajime Fukushima, Mitsuhiro Toratani, Robert Frouin, B. Greg Mitchell, Hiroshi Kawamura, Futoki Sakaida, Yoshimi Kawai, Motoaki Kishino, Katsumi Yokouchi, Yoko Kiyomoto, Dennis K. Clark, Sei-Ichi Saitoh, Akihiko Tanaka, Hiroaki Sasaki, Ian J. Barton, Joji Ishizaka

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004