Showing 1–20 of 23 results
/ Date/ Name
Jun 13, 2018Partial AUC Maximization via Nonlinear Scoring FunctionsFeb 14, 2024Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEsJun 2, 2022Excess risk analysis for epistemic uncertainty with application to variational inferenceFeb 8, 2018Few-shot learning of neural networks from scratch by pseudo example optimizationSep 30, 2025Second-timescale Glints from Satellites and Space Debris Detected with Tomo-e GozenJul 3, 2025Three-dimensional crustal deformation analysis using physics-informed deep learningApr 22, 2019The Hyper Suprime-Cam SSP Transient Survey in COSMOS: OverviewAug 15, 2020Photometric classification of HSC transients using machine learningOct 23, 2018Finding Appropriate Traffic Regulations via Graph Convolutional NetworksSep 12, 2016Machine-learning Selection of Optical Transients in Subaru/Hyper Suprime-Cam SurveyOct 9, 2018Unsupervised Object Matching for Relational DataMay 23, 2019Fully Neural Network based Model for General Temporal Point ProcessesSep 16, 2014Collapsed Variational Bayes Inference of Infinite Relational ModelJul 29, 2016Polynomial Networks and Factorization Machines: New Insights and Efficient Training AlgorithmsJul 25, 2016Higher-Order Factorization MachinesMay 22, 2017Multi-output Polynomial Networks and Factorization MachinesJul 20, 2020Translation Between Waves, wave2waveSep 11, 2019Anomaly Detection with Inexact LabelsJun 9, 2021Loss function based second-order Jensen inequality and its application to particle variational inferenceOct 20, 2023Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs