1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
Thomas Massena, Léo andéol, Thibaut Boissin +4
Conformal Prediction (CP) has proven to be an effective post-hoc method for improving the trustworthiness of neural networks by providing prediction sets with finite-sample guarant…
cs.CV2025
Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP
Alya Zouzou, Léo andéol, Mélanie Ducoffe +1
We explore the use of conformal prediction to provide statistical uncertainty guarantees for runway detection in vision-based landing systems (VLS). Using fine-tuned YOLOv5 and YOL…
stat.ML2024★ 1 cited
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)
Paul Novello, Joseba Dalmau, Léo Andeol
Research on Out-Of-Distribution (OOD) detection focuses mainly on building scores that efficiently distinguish OOD data from In Distribution (ID) data. On the other hand, Conformal…