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ORCIDHiroaki Sasaki
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2020 – today
- 2024
[i7]Hiroaki Sasaki:
Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding. CoRR abs/2405.19760 (2024)- 2022
- [j12]Kaito Satta, Hiroaki Sasaki:
Graph Embedding with Outlier-Robust Ratio Estimation. IEICE Trans. Inf. Syst. 105-D(10): 1812-1816 (2022) - [j11]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: 231:1-231:55 (2022) - [c20]Hiroaki Sasaki, Jun-Ichiro Hirayama, Takafumi Kanamori:
Mode estimation on matrix manifolds: Convergence and robustness. AISTATS 2022: 8056-8079 - 2021
- [i6]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 abs/2101.02083 (2021) - 2020
- [c19]Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori:
Robust modal regression with direct gradient approximation of modal regression risk. UAI 2020: 380-389 - [c18]Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvärinen:
Robust contrastive learning and nonlinear ICA in the presence of outliers. UAI 2020: 659-668
2010 – 2019
- 2019
- [j10]Qi Zhang, Hiroaki Sasaki, Kazushi Ikeda:
Direct Log-Density Gradient Estimation with Gaussian Mixture Models and Its Application to Clustering. IEICE Trans. Inf. Syst. 102-D(6): 1154-1162 (2019) - [c17]Aapo Hyvärinen, Hiroaki Sasaki, Richard E. Turner:
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning. AISTATS 2019: 859-868 - [i5]Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori:
Robust modal regression with direct log-density derivative estimation. CoRR abs/1910.08280 (2019) - [i4]Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvärinen:
Robust contrastive learning and nonlinear ICA in the presence of outliers. CoRR abs/1911.00265 (2019) - 2018
- [j9]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) - [c16]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: 2064-2067 - [i3]Aapo Hyvärinen, Hiroaki Sasaki, Richard E. Turner:
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning. CoRR abs/1805.08651 (2018) - [i2]Hiroaki Sasaki, Aapo Hyvärinen:
Neural-Kernelized Conditional Density Estimation. CoRR abs/1806.01754 (2018) - 2017
- [j8]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: 180:1-180:47 (2017) - [j7]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): 2076-2122 (2017) - [j6]Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen:
Simultaneous Estimation of Nongaussian Components and Their Correlation Structure. Neural Comput. 29(11) (2017) - [c15]Hiroaki Shiino, Hiroaki Sasaki, Gang Niu, Masashi Sugiyama:
Whitening-Free Least-Squares Non-Gaussian Component Analysis. ACML 2017: 375-390 - [c14]Hiroaki Sasaki, Takafumi Kanamori, Masashi Sugiyama:
Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios. AISTATS 2017: 204-212 - [c13]Mina Ashizawa, Hiroaki Sasaki, Tomoya Sakai, Masashi Sugiyama:
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds. AISTATS 2017: 537-546 - 2016
- [j5]Hiroaki Sasaki, Yung-Kyun Noh, Gang Niu, Masashi Sugiyama:
Direct Density Derivative Estimation. Neural Comput. 28(6): 1101-1140 (2016) - [j4]Ikko Yamane, Hiroaki Sasaki, Masashi Sugiyama:
Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation. Neural Comput. 28(7): 1388-1410 (2016) - [c12]Hiroaki Sasaki, Gang Niu, Masashi Sugiyama:
Non-Gaussian Component Analysis with Log-Density Gradient Estimation. AISTATS 2016: 1177-1185 - [c11]Hiroaki Sasaki, Yurina Ono, Masashi Sugiyama:
Modal Regression via Direct Log-Density Derivative Estimation. ICONIP (2) 2016: 108-116 - 2015
- [c10]Hiroaki Sasaki, Voot Tangkaratt, Masashi Sugiyama:
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities. ACML 2015: 33-48 - [c9]Hiroaki Sasaki, Yung-Kyun Noh, Masashi Sugiyama:
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation. AISTATS 2015 - [c8]Hiroaki Sasaki, Ryutaroh Matsumoto, Tomohiko Uyematsu:
Key rate of the B92 quantum key distribution protocol with finite qubits. ISIT 2015: 696-699 - [i1]Hiroaki Sasaki, Ryutaroh Matsumoto, Tomohiko Uyematsu:
Key Rate of the B92 Quantum Key Distribution Protocol with Finite Qubits. CoRR abs/1504.05628 (2015) - 2014
- [c7]Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen:
Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations. AISTATS 2014: 868-876 - [c6]Hiroaki Sasaki, Aapo Hyvärinen, Masashi Sugiyama:
Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density. ECML/PKDD (3) 2014: 19-34 - 2013
- [j3]Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen:
Correlated topographic analysis: estimating an ordering of correlated components. Mach. Learn. 92(2-3): 285-317 (2013) - [c5]Hiroaki Sasaki, Tsutomu Terada, Masahiko Tsukamoto:
A system for visualizing human behavior based on car metaphors. AH 2013: 221-228 - [c4]Haruhiko Kaneko, Satoshi Fujii, Hiroaki Sasaki:
Differential Base Pattern Coding for Cache Line Data Compression. DCC 2013: 499 - 2012
- [c3]Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen:
Topographic Analysis of Correlated Components. ACML 2012: 365-378 - 2010
- [j2]Hiroaki Sasaki, Shunji Satoh, Shiro Usui:
Neural implementation of coarse-to-fine processing in V1 simple neurons. Neurocomputing 73(4-6): 867-873 (2010) - [c2]Hiroaki Sasaki, Shunji Satoh, Shiro Usui:
Efficient Representation by Horizontal Connection in Primary Visual Cortex. ICONIP (1) 2010: 132-139
2000 – 2009
- 2009
- [j1]Hiroaki Sasaki, Shunji Satoh:
Super resolution: Another computational role of short-range horizontal connection in the primary visual cortex. Neural Networks 22(4): 362-372 (2009) - 2004
- [c1]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: 2746-2747
Coauthor Index
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