← Authors

Naonori Ueda

28 papers · 2009–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (16) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🀝 Dynamic Duo (10) πŸ† Keyword Champion (3) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (7) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (131) πŸ’Ž Century Club (28)

Conferences

NIPS (9) ACML (6) AISTATS (4) AAAI (2) ICML (2) IJCAI (2) ACL (1) IJCNLP (1) JMLR (1)

Top co-authors

Tomoharu Iwata (10) Takeshi Yamada (8) Akisato Kimura (5) Yasuhiro Fujiwara (5) Masahiro Nakano (5) Katsuhiko Ishiguro (4) Hirotaka Hachiya (4) Mathieu Blondel (4) Yusuke Tanaka (3) Issei Sato (3)

Keywords

relational datum (6) bayesian inference (3) convex optimization (3) bayesian nonparametric (3) stochastic process (3) factorization machine (3) probabilistic modeling (3) polynomial network (2) high-dimensional datum (2) cluster analysis (2) generative model (2) stick-breaking process (2) variational inference (2) posterior inference (2) feature interaction (2) bayesian nonparametrics (2) probabilistic model (2) information retrieval (1) collapsed variational bayes (1) binary classification (1)

Papers

Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations AISTATS 2025
MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters ACML 2024
Position-dependent partial convolutions for supervised spatial interpolation ACML 2022
Predictive variational Bayesian inference as risk-seeking optimization AISTATS 2022
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data NIPS 2022
Nonparametric Relational Models with Superrectangulation AISTATS 2022
Skew-symmetrically perturbed gradient flow for convex optimization ACML 2021
Encoder-decoder-based image transformation approach for integrating precipitation forecasts ACML 2021
Bayesian nonparametric model for arbitrary cubic partitioning ACML 2021
Loss function based second-order Jensen inequality and its application to particle variational inference NIPS 2021
Permuton-induced Chinese Restaurant Process NIPS 2021
Baxter Permutation Process NIPS 2020
Semi-Supervised Learning for Maximizing the Partial AUC AAAI 2020
Adaptive truncated residual regression for fine-grained regression problems ACML 2019
Fully Neural Network based Model for General Temporal Point Processes NIPS 2019
Efficient Data Point Pruning for One-Class SVM AAAI 2019
Estimating Latent People Flow without Tracking Individuals IJCAI 2018
Averaged Collapsed Variational Bayes Inference JMLR 2017
Multi-output Polynomial Networks and Factorization Machines NIPS 2017
SVD-Based Screening for the Graphical Lasso IJCAI 2017
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms ICML 2016
Higher-Order Factorization Machines NIPS 2016
Rectangular Tiling Process ICML 2014
Subset Infinite Relational Models AISTATS 2012
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NIPS 2010
Modeling Social Annotation Data with Content Relevance using a Topic Model NIPS 2009
Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling ACL 2009
Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling IJCNLP 2009