Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data

2 November 2017

Papers citing "Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data"

5 / 5 papers shown

Title
Spatial Bayesian Neural Networks A. Zammit‐Mangion Michael D. Kaminski Ba-Hien Tran Maurizio Filippone Noel Cressie BDL 10 7 0 16 Nov 2023
Convergence Analysis for Training Stochastic Neural Networks via Stochastic Gradient Descent Richard Archibald F. Bao Yanzhao Cao Hui‐Jie Sun 36 2 0 17 Dec 2022
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints Jiayu Huang Yutian Pang Yongming Liu Hao Yan BDL UQCV 17 15 0 16 Oct 2022
Predicting Hurricane Trajectories using a Recurrent Neural Network Sheila Alemany J. Beltran Adrián Pérez Sam Ganzfried 9 133 0 01 Feb 2018
Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Trading M. Dixon Nicholas G. Polson Vadim O. Sokolov AI4TS 23 67 0 27 May 2017