Nicolas Ragot

Attention-based Experience Replay Framework for Continual Learning of Agnostic Time Series Forecasting Models

This work introduces a novel framework for continual time series forecasting, designed to extend existing static forecasting models commonly used in the literature by incorporating an Experience Replay strategy guided by Attention mechanisms, which allows the model to adapt dynamically to new contexts while preserving prior knowledge, effectively mitigating catastrophic forgetting.