Hiroaki Sasaki

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 25

Top Topics

Multitask Learning

Component Analysis

Gaussian Mixture

Graph Embedding

Top Venues

IEICE Trans. Inf. Syst.

Publications

Hiroaki Sasaki
Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding. CoRR (2024)
Hiroaki Sasaki, Jun-Ichiro Hirayama, Takafumi Kanamori
Mode estimation on matrix manifolds: Convergence and robustness. AISTATS (2022)
Kaito Satta, Hiroaki Sasaki
Graph Embedding with Outlier-Robust Ratio Estimation. IEICE Trans. Inf. Syst. (10) (2022)
Hiroaki Sasaki, Takashi Takenouchi
Representation Learning for Maximization of MI, Nonlinear ICA and Nonlinear Subspaces with Robust Density Ratio Estimation. J. Mach. Learn. Res. 23 (2022)
Hiroaki Sasaki, Takashi Takenouchi
A unified view for unsupervised representation learning with density ratio estimation: Maximization of mutual information, nonlinear ICA and nonlinear subspace estimation. CoRR (2021)
Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvärinen
Robust contrastive learning and nonlinear ICA in the presence of outliers. UAI (2020)
Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori
Robust modal regression with direct gradient approximation of modal regression risk. UAI (2020)
Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvärinen
Robust contrastive learning and nonlinear ICA in the presence of outliers. CoRR (2019)
Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori
Robust modal regression with direct log-density derivative estimation. CoRR (2019)
Aapo Hyvärinen, Hiroaki Sasaki, Richard E. Turner
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning. AISTATS (2019)
Qi Zhang, Hiroaki Sasaki, Kazushi Ikeda
Direct Log-Density Gradient Estimation with Gaussian Mixture Models and Its Application to Clustering. IEICE Trans. Inf. Syst. (6) (2019)
Aapo Hyvärinen, Hiroaki Sasaki, Richard E. Turner
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning. CoRR (2018)
Kazushi Ikeda, Takatomi Kubo, Hiroaki Sasaki, Masataka Mori, Kentarou Hitomi, Kazuhito Takenaka, Kenji Muto
Anomaly Detection of Roads from Driving Data Using a Statistical Discrepancy Measure. ITSC (2018)
Hiroaki Sasaki, Aapo Hyvärinen
Neural-Kernelized Conditional Density Estimation. CoRR (2018)
Hiroaki Sasaki, Voot Tangkaratt, Gang Niu, Masashi Sugiyama
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities. Neural Comput. 30 (2) (2018)
Hiroaki Shiino, Hiroaki Sasaki, Gang Niu, Masashi Sugiyama
Whitening-Free Least-Squares Non-Gaussian Component Analysis. ACML (2017)
Hiroaki Sasaki, Takafumi Kanamori, Masashi Sugiyama
Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios. AISTATS (2017)
Mina Ashizawa, Hiroaki Sasaki, Tomoya Sakai, Masashi Sugiyama
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds. AISTATS (2017)
Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen
Simultaneous Estimation of Nongaussian Components and Their Correlation Structure. Neural Comput. 29 (11) (2017)
Voot Tangkaratt, Hiroaki Sasaki, Masashi Sugiyama
Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction. Neural Comput. 29 (8) (2017)
Hiroaki Sasaki, Takafumi Kanamori, Aapo Hyvärinen, Gang Niu, Masashi Sugiyama
Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios. J. Mach. Learn. Res. 18 (2017)
Hiroaki Sasaki, Yung-Kyun Noh, Gang Niu, Masashi Sugiyama
Direct Density Derivative Estimation. Neural Comput. 28 (6) (2016)
Hiroaki Sasaki, Gang Niu, Masashi Sugiyama
Non-Gaussian Component Analysis with Log-Density Gradient Estimation. AISTATS (2016)
Hiroaki Sasaki, Yurina Ono, Masashi Sugiyama
Modal Regression via Direct Log-Density Derivative Estimation. ICONIP (2) (2016)
Ikko Yamane, Hiroaki Sasaki, Masashi Sugiyama
Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation. Neural Comput. 28 (7) (2016)
Hiroaki Sasaki, Ryutaroh Matsumoto, Tomohiko Uyematsu
Key Rate of the B92 Quantum Key Distribution Protocol with Finite Qubits. CoRR (2015)
Hiroaki Sasaki, Yung-Kyun Noh, Masashi Sugiyama
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation. AISTATS (2015)
Hiroaki Sasaki, Ryutaroh Matsumoto, Tomohiko Uyematsu
Key rate of the B92 quantum key distribution protocol with finite qubits. ISIT (2015)
Hiroaki Sasaki, Voot Tangkaratt, Masashi Sugiyama
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities. ACML (2015)
Hiroaki Sasaki, Aapo Hyvärinen, Masashi Sugiyama
Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density. ECML/PKDD (3) (2014)
Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen
Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations. AISTATS (2014)
Hiroaki Sasaki, Tsutomu Terada, Masahiko Tsukamoto
A system for visualizing human behavior based on car metaphors. AH (2013)
Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen
Correlated topographic analysis: estimating an ordering of correlated components. Mach. Learn. 92 (2-3) (2013)
Haruhiko Kaneko, Satoshi Fujii, Hiroaki Sasaki
Differential Base Pattern Coding for Cache Line Data Compression. DCC (2013)
Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen
Topographic Analysis of Correlated Components. ACML (2012)
Hiroaki Sasaki, Shunji Satoh, Shiro Usui
Neural implementation of coarse-to-fine processing in V1 simple neurons. Neurocomputing 73 (4-6) (2010)
Hiroaki Sasaki, Shunji Satoh, Shiro Usui
Efficient Representation by Horizontal Connection in Primary Visual Cortex. ICONIP (1) (2010)
Hiroaki Sasaki, Shunji Satoh
Super resolution: Another computational role of short-range horizontal connection in the primary visual cortex. Neural Networks 22 (4) (2009)
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
Validation and applications of GLI Ocean product. IGARSS (2004)