Naonori Ueda
28 papers · 2009–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (15) π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Conference Polyglot
(9)
πΊοΈ
Taxonomy Completionist
(15)
π§
Keyword Pioneer
π€
Dynamic Duo
(10)
π
Keyword Champion
(3)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(7)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(131)
π
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
Keywords
relational datum
(6)
bayesian nonparametrics
(5)
bayesian inference
(3)
factorization machine
(3)
convex optimization
(3)
stochastic process
(3)
probabilistic modeling
(3)
polynomial network
(2)
high-dimensional datum
(2)
cluster analysis
(2)
generative model
(2)
stick-breaking process
(2)
posterior inference
(2)
feature interaction
(2)
probabilistic model
(2)
variational inference
(2)
information retrieval
(1)
collapsed variational bayes
(1)
binary classification
(1)
model misspecification
(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