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cs.AI2026
Physical knowledge on historical data matters more than enforcing physical constraints on the forecast
Etienne Lehembre, Pascal Audigane, Vincent Nguyen +2
Time series forecasting has seen signicant advancements with the emergence of new deep learning models. However, forecasting time series in applications involving physical processe…
cs.LG2026
GAP-Prompt: Gated Adaptive Prompting for Efficient Continual Learning
Trung-Anh Dang, Duy-Cuong Bui, Ngoc-Son Vu +2
Continual learning faces the persistent challenge of catastrophic forgetting, where sequential task updates degrade previously acquired knowledge. While prompt-based methods integr…