Kawanabe, Motoaki

31 publications

ICLR 2025 SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG Shanglin Li, Motoaki Kawanabe, Reinmar J Kobler

ICLR 2024 Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data Ce Ju, Reinmar J Kobler, Liyao Tang, Cuntai Guan, Motoaki Kawanabe

NeurIPS 2023 CityRefer: Geography-Aware 3D Visual Grounding Dataset on City-Scale Point Cloud Data Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue

NeurIPS 2022 SPD Domain-Specific Batch Normalization to Crack Interpretable Unsupervised Domain Adaptation in EEG Reinmar Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe

CVPR 2022 ScanQA: 3D Question Answering for Spatial Scene Understanding Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe

IJCAI 2018 Answering Mixed Type Questions About Daily Living Episodes Taiki Miyanishi, Junichiro Hirayama, Atsunori Kanemura, Motoaki Kawanabe

AAAI 2018 Generating an Event Timeline About Daily Activities from a Semantic Concept Stream Taiki Miyanishi, Junichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe

ICML 2017 SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling Jun-ichiro Hirayama, Aapo Hyvärinen, Motoaki Kawanabe

NeurIPS 2013 Robust Spatial Filtering with Beta Divergence Wojciech Samek, Duncan Blythe, Klaus-Robert Müller, Motoaki Kawanabe

JMLR 2011 Generalized TD Learning Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii

JMLR 2010 How to Explain Individual Classification Decisions David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller

ICCVW 2009 Learning Invariances with Stationary Subspace Analysis Frank C. Meinecke, Paul von Bünau, Motoaki Kawanabe, Klaus-Robert Müller

ECML-PKDD 2009 Optimal Online Learning Procedures for Model-Free Policy Evaluation Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii

ICML 2008 A Semiparametric Statistical Approach to Model-Free Policy Evaluation Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii

ICML 2007 Asymptotic Bayesian Generalization Error When Training and Test Distributions Are Different Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller

NeurIPS 2007 Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul V. Buenau, Motoaki Kawanabe

NeurIPS 2007 Heterogeneous Component Analysis Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller, Shin Ishii

NeurIPS 2007 Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike Hohlefeld, Klaus-Robert Müller, Vadim V. Nikulin

JMLR 2006 In Search of Non-Gaussian Components of a High-Dimensional Distribution Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller

JMLR 2005 Estimating Functions for Blind Separation When Sources Have Variance Dependencies Motoaki Kawanabe, Klaus-Robert Müller

NeurIPS 2005 Non-Gaussian Component Analysis: A Semi-Parametric Framework for Linear Dimension Reduction Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny, Klaus-Robert Müller

NeCo 2004 Asymptotic Properties of the Fisher Kernel Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller

NeCo 2004 Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller

JMLR 2003 Blind Separation of Post-Nonlinear Mixtures Using Linearizing Transformations and Temporal Decorrelation Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller

NeCo 2003 Kernel-Based Nonlinear Blind Source Separation Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller

NeCo 2002 A New Discriminative Kernel from Probabilistic Models Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller

NeurIPS 2002 Clustering with the Fisher Score Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller

NeurIPS 2001 A New Discriminative Kernel from Probabilistic Models Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller

NeurIPS 2001 Estimating the Reliability of ICA Projections Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller

NeurIPS 2001 Kernel Feature Spaces and Nonlinear Blind Souce Separation Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller

NeCo 1994 Estimation of Network Parameters in Semiparametric Stochastic Perceptron Motoaki Kawanabe, Shun-ichi Amari