4 papers
Holonic Active Distillation for Scalable Multi-Agent Learning in Multi-Sensor Systems
Dani Manjah, Tim Bary, Benoît Macq +1
The rapid expansion of sensor-based networks introduces major challenges in scalability, adaptability, and knowledge transfer, especially in open environments where new subsystems…
Localized Conformal Prediction for Image Classification with Vision-Language Models
Clément Fuchs, Tim Bary, Benoît Macq
Conformal predictions have attracted significant attention in the field of uncertainty quantification, mainly because of their strong marginal coverage guarantees. Full conditional…
CADS: Conformal Adaptive Decision System for Cost-Efficient Image Classification
Mikael Turkoglu, Tim Bary, Vincent Thielens +2
While high-capacity AI models have advanced state-of-the-art performance, their practical deployment is often hindered by high inference costs, environmental impact, and a "one-siz…
No Need for Learning to Defer? A Training Free Deferral Framework to Multiple Experts through Conformal Prediction
Tim Bary, Benoît Macq, Louis Petit
AI systems often struggle to provide reliable predictions across all inputs, motivating hybrid human-AI decision-making. Existing Learning to Defer (L2D) approaches address this by…