Hiroaki Sasaki

According to our database1, Hiroaki Sasaki authored at least 36 papers between 2004 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding.
CoRR, 2024

2022
Graph Embedding with Outlier-Robust Ratio Estimation.
IEICE Trans. Inf. Syst., October, 2022

Representation Learning for Maximization of MI, Nonlinear ICA and Nonlinear Subspaces with Robust Density Ratio Estimation.
J. Mach. Learn. Res., 2022

Mode estimation on matrix manifolds: Convergence and robustness.
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.
CoRR, 2021

2020
Robust contrastive learning and nonlinear ICA in the presence of outliers.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Robust modal regression with direct gradient approximation of modal regression risk.
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.
IEICE Trans. Inf. Syst., 2019

Robust modal regression with direct log-density derivative estimation.
CoRR, 2019

Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning.
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.
Neural Comput., 2018

Neural-Kernelized Conditional Density Estimation.
CoRR, 2018

Anomaly Detection of Roads from Driving Data Using a Statistical Discrepancy Measure.
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.
Neural Comput., 2017

Simultaneous Estimation of Nongaussian Components and Their Correlation Structure.
Neural Comput., 2017

Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios.
J. Mach. Learn. Res., 2017

Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Whitening-Free Least-Squares Non-Gaussian Component Analysis.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation.
Neural Comput., 2016

Direct Density Derivative Estimation.
Neural Comput., 2016

Modal Regression via Direct Log-Density Derivative Estimation.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Non-Gaussian Component Analysis with Log-Density Gradient Estimation.
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.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation.
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.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Correlated topographic analysis: estimating an ordering of correlated components.
Mach. Learn., 2013

Differential Base Pattern Coding for Cache Line Data Compression.
Proceedings of the 2013 Data Compression Conference, 2013

A system for visualizing human behavior based on car metaphors.
Proceedings of the 4th Augmented Human International Conference, 2013

2012
Topographic Analysis of Correlated Components.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

2010
Neural implementation of coarse-to-fine processing in V1 simple neurons.
Neurocomputing, 2010

Efficient Representation by Horizontal Connection in Primary Visual Cortex.
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.
Neural Networks, 2009

2004


  Loading...