arXiv Machine Learning June 25, 2026 By Sandeepa Weerasekara, Sandareka Wickramanayake

TopoCast: A Topological Fidelity Framework for Evaluating Transformer-Based Time Series Forecasting

Read the original on arXiv Machine Learning →

arXiv:2606. 25439v1 Announce Type: new Abstract: Deep learning-based models have achieved state-of-the-art performance in Time Series Forecasting (TSF), yet their evaluation remains dominated by pointwise error metrics such as Mean Squared Error (MSE), which quantify numerical accuracy but overlook structural properties of the forecast signal, including recurrent dynamics, oscillatory behavior, and phase alignment.

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