| 2025 | ICLR | SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG. | Shanglin Li, Motoaki Kawanabe, Reinmar J. Kobler |
| 2024 | ESANN | Geometric Deep Learning to Enhance Imbalanced Domain Adaptation in EEG. | Shanglin Li, Motoaki Kawanabe, Reinmar J. Kobler |
| 2024 | ICLR | Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data. | Ce Ju, Reinmar J. Kobler, Liyao Tang, Cuntai Guan, Motoaki Kawanabe |
| 2024 | IROS | Answerability Fields: Answerable Location Estimation via Diffusion Models. | Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto, Motoaki Kawanabe |
| 2024 | IROS | Map-based Modular Approach for Zero-shot Embodied Question Answering. | Koya Sakamoto, Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe |
| 2022 | CVPR | ScanQA: 3D Question Answering for Spatial Scene Understanding. | Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe |
| 2022 | ICASSP | Controlling The Frchet Variance Improves Batch Normalization on the Symmetric Positive Definite Manifold. | Reinmar J. Kobler, Jun-ichiro Hirayama, Motoaki Kawanabe |
| 2020 | BMVC | Two-Stream Spatiotemporal Compositional Attention Network for VideoQA. | Taiki Miyanishi, Takuya Maekawa, Motoaki Kawanabe |
| 2019 | IROS | Pedestrian Density Prediction for Efficient Mobile Robot Exploration. | Marc Patrick H. Zapf, Motoaki Kawanabe, Luis Yoichi Morales Saiki |
| 2018 | AAAI | Generating an Event Timeline About Daily Activities From a Semantic Concept Stream. | Taiki Miyanishi, Junichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe |
| 2018 | ICASSP | A Sparse Coding Framework for Gaze Prediction in Egocentric Video. | Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe |
| 2018 | IJCAI | Answering Mixed Type Questions about Daily Living Episodes. | Taiki Miyanishi, Junichiro Hirayama, Atsunori Kanemura, Motoaki Kawanabe |
| 2018 | RO-MAN | Data-Driven, 3-D Classification of Person-Object Relationships and Semantic Context Clustering for Robotics and AI Applications. | Marc Patrick H. Zapf, Astha Gupta, Luis Yoichi Morales Saiki, Motoaki Kawanabe |
| 2017 | ICIP | Extracting key frames from first-person videos in the common space of multiple sensors. | Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe |
| 2017 | ICML | SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling. | Junichiro Hirayama, Aapo Hyvrinen, Motoaki Kawanabe |
| 2014 | ICASSP | Robust common spatial patterns by minimum divergence covariance estimator. | Wojciech Samek, Motoaki Kawanabe |
| 2013 | IROS | A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration. | Atsunori Kanemura, Yoichi Morales Saiki, Motoaki Kawanabe, Hiroshi Morioka, Nagasrikanth Kallakuri, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita, Shin Ishii |
| 2011 | CAIP | Multi-task Learning via Non-sparse Multiple Kernel Learning. | Wojciech Samek, Alexander Binder, Motoaki Kawanabe |
| 2011 | HAIS | Modelling Non-stationarities in EEG Data with Robust Principal Component Analysis. | Javier Pascual, Motoaki Kawanabe, Carmen Vidaurre |
| 2011 | HAIS | Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation. | Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Kawanabe |
| 2011 | ICANN | An Information Geometrical View of Stationary Subspace Analysis. | Motoaki Kawanabe, Wojciech Samek, Paul von Bnau, Frank C. Meinecke |
| 2011 | ICASSP | Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals. | Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Kawanabe |
| 2011 | WACV | Multi-modal visual concept classification of images via Markov random walk over tags. | Motoaki Kawanabe, Alexander Binder, Christina Mller, Wojciech Wojcikiewicz |
| 2010 | ACCV | A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition. | Alexander Binder, Wojciech Wojcikiewicz, Christina Mller, Motoaki Kawanabe |
| 2010 | ICIP | Shrinking large visual vocabularies using multi-label agglomerative information bottleneck. | Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe |
| 2010 | ICPR | Enhancing Image Classification with Class-wise Clustered Vocabularies. | Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe |
| 2010 | SDM | Direct Density Ratio Estimation with Dimensionality Reduction. | Masashi Sugiyama, Satoshi Hara, Paul von Bnau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe |
| 2009 | ACCV | Efficient Classification of Images with Taxonomies. | Alexander Binder, Motoaki Kawanabe, Ulf Brefeld |
| 2009 | IWANN | A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification. | Motoaki Kawanabe, Carmen Vidaurre, Benjamin Blankertz, Klaus-Robert Mller |
| 2008 | ICML | A semiparametric statistical approach to model-free policy evaluation. | Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii |
| 2007 | ICML | Asymptotic Bayesian generalization error when training and test distributions are different. | Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Mller |
| 2006 | ICASSP | Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis. | Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Vladimir G. Spokoiny, Klaus-Robert Mller |
| 2005 | ICANN | Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor. | Motoaki Kawanabe |
| 2004 | ESANN | Regularizing generalization error estimators: a novel approach to robust model selection. | Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Mller |
| 2002 | ICANN | The Leave-One-Out Kernel. | Koji Tsuda, Motoaki Kawanabe |