Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting

28 June 2018

Papers citing "Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting"

6 / 6 papers shown

Title
Hierarchical Count Echo State Network Models with Application to Graduate Student Enrollments Qi Wang Paul A. Parker Robert B. Lund 61 0 0 24 Jan 2025
Data-driven and machine-learning based prediction of wave propagation behavior in dam-break flood Changli Li Zheng Han Yan-ge Li Ming Li Wei-dong Wang 11 2 0 19 Sep 2022
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability Jorge S. S. Júnior Jérôme Mendes F. Souza C. Premebida AI4CE 20 9 0 09 Sep 2022
Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices Nadja Klein M. Smith David J. Nott BDL AI4TS 22 25 0 05 Oct 2020
Uncertainty Quantification for Sparse Deep Learning Yuexi Wang Veronika Rockova BDL UQCV 23 31 0 26 Feb 2020
Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting A. Zammit‐Mangion C. Wikle 8 47 0 29 Oct 2019