Ijcnn2026

Our paper, “Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and Projection”, has been accepted at the 2026 International Joint Conference on Neural Networks (IJCNN 2026). We propose a modular framework that decomposes time series forecasting into representation, information extraction, and projection stages, enabling systematic comparison and composition of pipeline components.