3 papers
cs.LG2026
Time Series Forecasting Through the Lens of Dynamics
Alexis-Raja Brachet, Pierre-Yves Richard, Céline Hudelot
While deep learning is facing an homogenization across modalities led by Transformers, they are still challenged by shallow linear models in the time series forecasting task. Our h…
cs.CV2025
Fairness and Robustness of CLIP-Based Models for Chest X-rays
Théo Sourget, David Restrepo, Céline Hudelot +3
Motivated by the strong performance of CLIP-based models in natural image-text domains, recent efforts have adapted these architectures to medical tasks, particularly in radiology,…
cs.AI2025
A Complexity Map of Probabilistic Reasoning for Neurosymbolic Classification Techniques
Arthur Ledaguenel, Céline Hudelot, Mostepha Khouadjia
Neurosymbolic artificial intelligence is a growing field of research aiming to combine neural network learning capabilities with the reasoning abilities of symbolic systems. Inform…