Research Area:  Machine Learning
This paper presents the winning submission of the M4 forecasting competition. The submission utilizes a dynamic computational graph neural network system that enables a standard exponential smoothing model to be mixed with advanced long short term memory networks into a common framework. The result is a hybrid and hierarchical forecasting method.
Author(s) Name:  SlawekSmyl
Journal name:  International Journal of Forecasting
Publisher name:  Elsevier
Volume Information:  Volume 36, Issue 1, January–March 2020, Pages 75-85
Paper Link:   https://www.sciencedirect.com/science/article/abs/pii/S0169207019301153