Review
Jul 2026
Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting
This work reviews the main architectures, pre-training strategies, and optimization methods underpinning foundation models for zero-shot time series forecasting, and investigates post-pre-training fine-tuning of selected foundation models to enhance their performance on specific datasets.
Morad Laglil, Bertrand Pracca, Emilie Devijver et al.
· arXiv.org · 1 citation