2 papers
cs.LG2025
Structured Noise Modeling for Enhanced Time-Series Forecasting
Sepideh Koohfar
Time-series forecasting remains difficult in real-world settings because temporal patterns operate at multiple scales, from broad contextual trends to fast, fine-grained fluctuatio…
cs.LG2023
Fine-grained Forecasting Models Via Gaussian Process Blurring Effect
Sepideh Koohfar, Laura Dietz
Time series forecasting is a challenging task due to the existence of complex and dynamic temporal dependencies. This can lead to incorrect predictions by even the best forecasting…