| 2025 | AISTATS | Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations. | Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda |
| 2025 | ICCS | Large-Scale Nonlinear Viscoelastic Simulation for Crustal Deformation Accelerated by Data-Driven Method and Multi-grid Solver. | Sota Murakami, Kohei Fujita, Tsuyoshi Ichimura, Ryota Kaneko, Takane Hori, Muneo Hori, Maddegedara Lalith, Naonori Ueda |
| 2024 | ACML | MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters. | Hirotaka Hachiya, Yuto Kuroki, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara |
| 2023 | DASFAA | Efficient Network Representation Learning via Cluster Similarity. | Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Ueda |
| 2023 | ICCS | Development of 3D Viscoelastic Crustal Deformation Analysis Solver with Data-Driven Method on GPU. | Sota Murakami, Kohei Fujita, Tsuyoshi Ichimura, Takane Hori, Muneo Hori, Maddegedara Lalith, Naonori Ueda |
| 2023 | IGARSS | Moving Object Detection by Low-Rank Analysis of Region-Based Correlated Motion Fields. | Bahareh Kalantar, Naonori Ueda, Mohsen Zand, Husam Abdulrasool H. Al-Najjar |
| 2022 | ACML | Position-dependent partial convolutions for supervised spatial interpolation. | Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara |
| 2022 | AISTATS | Predictive variational Bayesian inference as risk-seeking optimization. | Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama |
| 2022 | AISTATS | Nonparametric Relational Models with Superrectangulation. | Masahiro Nakano, Ryo Nishikimi, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda |
| 2022 | IGARSS | A Deep Learning Approach for Automated Building Outlines Extraction in Compact Urban Environments. | Bahareh Kalantar, Ojogbane Success Sani, Seyd Teymoor Seydi, Alfian Abdul Halin, Shattri Mansor, Naonori Ueda |
| 2022 | IGARSS | Deep Ensemble Learning for Land Cover Classification Based on Hyperspectral Prisma Image. | Bahareh Kalantar, Seyd Teymoor Seydi, Naonori Ueda, Vahideh Saeidi, Alfian Abdul Halin, Farzin Shabani |
| 2022 | SC | Scalable Finite-Element Viscoelastic Crustal Deformation Analysis Accelerated with Data-Driven Method. | Kohei Fujita, Sota Murakami, Tsuyoshi Ichimura, Takane Hori, Muneo Hori, Maddegedara Lalith, Naonori Ueda |
| 2021 | ACML | Skew-symmetrically perturbed gradient flow for convex optimization. | Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane |
| 2021 | ACML | Encoder-decoder-based image transformation approach for integrating precipitation forecasts. | Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda |
| 2021 | ACML | Bayesian nonparametric model for arbitrary cubic partitioning. | Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda |
| 2021 | CIKM | Fast and Accurate Anchor Graph-based Label Prediction. | Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Sekitoshi Kanai, Naonori Ueda |
| 2021 | ICDE | Fast Similarity Computation for t-SNE. | Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Naonori Ueda |
| 2021 | IGARSS | The Effect of War on Land Use Dynamics in Mosul Iraq Using Remote Sensing and GIS Techniques. | Huda Jamal Jumaah, Bahareh Kalantar, Naonori Ueda, Ojogbane Success Sani, Qayssar Mahmood Ajaj, Sarah Jamal Jumaah |
| 2021 | PRICAI | Magnitude-Weighted Mean-Shift Clustering with Leave-One-Out Bandwidth Estimation. | Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda |
| 2020 | AAAI | Semi-Supervised Learning for Maximizing the Partial AUC. | Tomoharu Iwata, Akinori Fujino, Naonori Ueda |
| 2020 | ICCS | Data-Driven Approach to Inversion Analysis of Three-Dimensional Inner Soil Structure via Wave Propagation Analysis. | Takuma Yamaguchi, Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Wijerathne, Naonori Ueda |
| 2020 | KDD | Efficient Algorithm for the b-Matching Graph. | Yasuhiro Fujiwara, Atsutoshi Kumagai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda |
| 2019 | AAAI | Efficient Data Point Pruning for One-Class SVM. | Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda |
| 2019 | ACML | Adaptive truncated residual regression for fine-grained regression problems. | Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda |
| 2019 | CIKM | Fast Random Forest Algorithm via Incremental Upper Bound. | Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Junya Arai, Naonori Ueda |
| 2019 | IGARSS | Conditioning Factors Determination for Landslide Susceptibility Mapping Using Support Vector Machine Learning. | Bahareh Kalantar, Naonori Ueda, Usman Salihu Lay, Husam Abdulrasool H. Al-Najjar, Alfian Abdul Halin |
| 2019 | KDD | Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. | Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda |
| 2018 | BMVC | Few-shot learning of neural networks from scratch by pseudo example optimization. | Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda |
| 2018 | IJCAI | Estimating Latent People Flow without Tracking Individuals. | Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda |
| 2018 | PRIMA | Improving Route Traffic Estimation by Considering Staying Population. | Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada |
| 2017 | AAAI | Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes. | Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda |
| 2017 | ICDM | Autoregressive Tensor Factorization for Spatio-Temporal Predictions. | Koh Takeuchi, Hisashi Kashima, Naonori Ueda |
| 2017 | IJCAI | SVD-Based Screening for the Graphical Lasso. | Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda |
| 2017 | SIGMOD | Scaling Locally Linear Embedding. | Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda |
| 2016 | AAAI | Infinite Plaid Models for Infinite Bi-Clustering. | Katsuhiko Ishiguro, Issei Sato, Masahiro Nakano, Akisato Kimura, Naonori Ueda |
| 2016 | ICDM | A Semi-Supervised AUC Optimization Method with Generative Models. | Akinori Fujino, Naonori Ueda |
| 2016 | ICML | Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. | Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda |
| 2016 | Middleware | Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis. | Koh Takeuchi, Naonori Ueda |
| 2016 | Mobiquitous | Mobile Activity Recognition through Training Labels with Inaccurate Activity Segments. | Takamichi Toda, Sozo Inoue, Naonori Ueda |
| 2015 | KDD | Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. | Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima |
| 2014 | AISTATS | Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion. | Mathieu Blondel, Yotaro Kubo, Naonori Ueda |
| 2014 | ICDM | Fast and Exact Monitoring of Co-Evolving Data Streams. | Yasuko Matsubara, Yasushi Sakurai, Naonori Ueda, Masatoshi Yoshikawa |
| 2014 | ICML | Rectangular Tiling Process. | Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda |
| 2014 | ICPR | Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex. | Mathieu Blondel, Akinori Fujino, Naonori Ueda |
| 2013 | AAAI | Unsupervised Cluster Matching via Probabilistic Latent Variable Models. | Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda |
| 2012 | ICASSP | Efficient algorithms for multichannel extensions of Itakura-Saito nonnegative matrix factorization. | Hiroshi Sawada, Hirokazu Kameoka, Shoko Araki, Naonori Ueda |
| 2012 | KDD | Bayesian relational data analysis. | Naonori Ueda |
| 2011 | ICASSP | Formulations and algorithms for multichannel complex NMF. | Hiroshi Sawada, Hirokazu Kameoka, Shoko Araki, Naonori Ueda |
| 2011 | ICDM | A New Multi-task Learning Method for Personalized Activity Recognition. | Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li |
| 2011 | KDD | Fast approximate similarity search based on degree-reduced neighborhood graphs. | Kazuo Aoyama, Kazumi Saito, Hiroshi Sawada, Naonori Ueda |
| 2011 | PAKDD | Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training. | Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda |
| 2010 | CIKM | A robust semi-supervised classification method for transfer learning. | Akinori Fujino, Naonori Ueda, Masaaki Nagata |
| 2010 | ICASSP | Fast similarity search on a large speech data set with neighborhood graph indexing. | Kazuo Aoyama, Shinji Watanabe, Hiroshi Sawada, Yasuhiro Minami, Naonori Ueda, Kazumi Saito |
| 2010 | ICDM | Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method. | Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori Ueda |
| 2010 | KDD | Online multiscale dynamic topic models. | Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda |
| 2009 | ACL | Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling. | Daichi Mochihashi, Takeshi Yamada, Naonori Ueda |
| 2009 | ICONIP | RAST: A Related Abstract Search Tool. | Shiro Usui, Nilton Liuji Kamiji, Tatsuki Taniguchi, Naonori Ueda |
| 2009 | IJCAI | Topic Tracking Model for Analyzing Consumer Purchase Behavior. | Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda |
| 2008 | CVPR | Simultaneous clustering and tracking unknown number of objects. | Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda |
| 2008 | KDD | Probabilistic latent semantic visualization: topic model for visualizing documents. | Tomoharu Iwata, Takeshi Yamada, Naonori Ueda |
| 2007 | CIDM | One-shot Collaborative Filtering. | Shuhei Kuwata, Naonori Ueda |
| 2007 | IJCAI | Semi-Supervised Learning for Multi-Component Data Classification. | Akinori Fujino, Naonori Ueda, Kazumi Saito |
| 2007 | IJCNN | 3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization. | Shiro Usui, Antoine Naud, Naonori Ueda, Tatsuki Taniguchi |
| 2007 | KES | Pivot Learning for Efficient Similarity Search. | Manabu Kimura, Kazumi Saito, Naonori Ueda |
| 2006 | AAAI | Learning Systems of Concepts with an Infinite Relational Model. | Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda |
| 2006 | ESANN | Visual nonlinear discriminant analysis for classifier design. | Tomoharu Iwata, Kazumi Saito, Naonori Ueda |
| 2006 | IJCNN | Extracting Keywords from Research Abstracts for the Neuroinformatics Platform Index Tree. | Shiro Usui, Paulito P. Palmes, Kazunori Nagata, Tatsuki Taniguchi, Naonori Ueda |
| 2005 | AAAI | A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design. | Akinori Fujino, Naonori Ueda, Kazumi Saito |
| 2005 | IJCNN | Multinomial PCA for extracting major latent topics from document streams. | Masahiro Kimura, Kazumi Saito, Naonori Ueda |
| 2005 | SAC | Retrieving lightly annotated images using image similarities. | Masashi Inoue, Naonori Ueda |
| 2004 | KES | Extended Parametric Mixture Model for Robust Multi-labeled Text Categorization. | Yuji Kaneda, Naonori Ueda, Kazumi Saito |
| 2003 | ESANN | Modeling of growing networks with directional attachment and communities. | Masahiro Kimura, Kazumi Saito, Naonori Ueda |
| 2003 | ICASSP | Application of variational Bayesian estimation and clustering to acoustic model adaptation. | Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura, Naonori Ueda |
| 2003 | ICML | Cross-Entropy Directed Embedding of Network Data. | Takeshi Yamada, Kazumi Saito, Naonori Ueda |
| 2002 | Interspeech | Constructing shared-state hidden Markov models based on a Bayesian approach. | Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura, Naonori Ueda |
| 2002 | KDD | Single-shot detection of multiple categories of text using parametric mixture models. | Naonori Ueda, Kazumi Saito |
| 1997 | ICONIP | Self-Organization of Feature Columns and its Application to Object Classification. | Satoshi Suzuki, Naonori Ueda |
| 1992 | ECCV | Tracking Moving Contours Using Energy-Minimizing Elastic Contour Models. | Naonori Ueda, Kenji Mase |
| 1991 | CVPR | Robust vectorization using graph-based thinning and reliability-based line approximation. | Satoshi Suzuki, Naonori Ueda |
| 1990 | ICPR | Automatic shape model acquisition using multiscale segment matching. | Naonori Ueda, Satoshi Suzuki |