Ueda, Naonori

47 publications

AISTATS 2025 Energy-Consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda

ACML 2024 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

AISTATS 2022 Nonparametric Relational Models with Superrectangulation Masahiro Nakano, Ryo Nishikimi, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda

AISTATS 2022 Predictive Variational Bayesian Inference as Risk-Seeking Optimization Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama

ACML 2022 Position-Dependent Partial Convolutions for Supervised Spatial Interpolation Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara

NeurIPS 2022 Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda

ACML 2021 Bayesian Nonparametric Model for Arbitrary Cubic Partitioning Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda

ACML 2021 Encoder-Decoder-Based Image Transformation Approach for Integrating Precipitation Forecasts Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda

NeurIPS 2021 Loss Function Based Second-Order Jensen Inequality and Its Application to Particle Variational Inference Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama

NeurIPS 2021 Permuton-Induced Chinese Restaurant Process Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda

ACML 2021 Skew-Symmetrically Perturbed Gradient Flow for Convex Optimization Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane

MLJ 2020 Anomaly Detection with Inexact Labels Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda

NeurIPS 2020 Baxter Permutation Process Masahiro Nakano, Akisato Kimura, Takeshi Yamada, Naonori Ueda

AAAI 2020 Semi-Supervised Learning for Maximizing the Partial AUC Tomoharu Iwata, Akinori Fujino, Naonori Ueda

ICLR 2020 Translation Between Waves, Wave2wave Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda

ACML 2019 Adaptive Truncated Residual Regression for Fine-Grained Regression Problems Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda

AAAI 2019 Efficient Data Point Pruning for One-Class SVM Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda

NeurIPS 2019 Fully Neural Network Based Model for General Temporal Point Processes Takahiro Omi, Naonori Ueda, Kazuyuki Aihara

IJCAI 2018 Estimating Latent People Flow Without Tracking Individuals Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda

JMLR 2017 Averaged Collapsed Variational Bayes Inference Katsuhiko Ishiguro, Issei Sato, Naonori Ueda

NeurIPS 2017 Multi-Output Polynomial Networks and Factorization Machines Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda

AAAI 2017 Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda

IJCAI 2017 SVD-Based Screening for the Graphical Lasso Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda

NeurIPS 2016 Higher-Order Factorization Machines Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata

AAAI 2016 Infinite Plaid Models for Infinite Bi-Clustering Katsuhiko Ishiguro, Issei Sato, Masahiro Nakano, Akisato Kimura, Naonori Ueda

ICML 2016 Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda

ECML-PKDD 2015 Convex Factorization Machines Mathieu Blondel, Akinori Fujino, Naonori Ueda

AISTATS 2014 Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion Mathieu Blondel, Yotaro Kubo, Naonori Ueda

ICML 2014 Rectangular Tiling Process Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda

AAAI 2013 Unsupervised Cluster Matching via Probabilistic Latent Variable Models Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda

AISTATS 2012 Subset Infinite Relational Models Katsuhiko Ishiguro, Naonori Ueda, Hiroshi Sawada

NeurIPS 2010 Dynamic Infinite Relational Model for Time-Varying Relational Data Analysis Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Joshua B. Tenenbaum

NeurIPS 2009 Modeling Social Annotation Data with Content Relevance Using a Topic Model Tomoharu Iwata, Takeshi Yamada, Naonori Ueda

IJCAI 2009 Topic Tracking Model for Analyzing Consumer Purchase Behavior Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda

CVPR 2008 Simultaneous Clustering and Tracking Unknown Number of Objects Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda

IJCAI 2007 Semi-Supervised Learning for Multi-Component Data Classification Akinori Fujino, Naonori Ueda, Kazumi Saito

AAAI 2006 Learning Systems of Concepts with an Infinite Relational Model Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda

AAAI 2005 A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design Akinori Fujino, Naonori Ueda, Kazumi Saito

NeurIPS 2004 Parametric Embedding for Class Visualization Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum

ICML 2003 Cross-Entropy Directed Embedding of Network Data Takeshi Yamada, Kazumi Saito, Naonori Ueda

NeurIPS 2002 Application of Variational Bayesian Approach to Speech Recognition Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura, Naonori Ueda

NeurIPS 2002 Parametric Mixture Models for Multi-Labeled Text Naonori Ueda, Kazumi Saito

NeCo 2000 SMEM Algorithm for Mixture Models Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton

NeurIPS 1998 SMEM Algorithm for Mixture Models Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton

NeurIPS 1994 Deterministic Annealing Variant of the EM Algorithm Naonori Ueda, Ryohei Nakano

ECCV 1992 Tracking Moving Contours Using Energy-Minimizing Elastic Contour Models Naonori Ueda, Kenji Mase

CVPR 1991 Robust Vectorization Using Graph-Based Thinning and Reliability-Based Line Approximation Satoshi Suzuki, Naonori Ueda