output
20082026
most citedAsymmetric nuclear matter : a variational approach

2 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.LG2026

Challenges of Explainability in Continual Learning for Time Series Forecasting

Quentin Besnard, Emmanuel Doumard, Nicolas Labroche +2

Deep learning models have shown strong potential for time series forecasting, yet their deployment in real-world environmental monitoring remains challenging due to non-stationary…

cs.AI2026

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

Quentin Besnard, Nicolas Ragot

Deep learning has led to remarkable progress in artificial intelligence, particularly in robotics, imaging and sound processing. However, a major limitation of neural networks rema…