Hiroaki Sasaki

39 papers A 9B 2C 4Journal 19Unranked 5

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