3 papers
cs.LG2026
SPACR: Single-Pass Adaptive Training of Uncertainty-Aware Conformal Regressors
Soundouss Messoudi, Sylvain Rousseau, Sébastien Destercke
Conformal Prediction (CP) provides robust uncertainty guarantees for predictive models, but is typically applied post hoc, which misaligns model training with the conformal goal of…
cs.LG2025
Guaranteed prediction sets for functional surrogate models
Ander Gray, Vignesh Gopakumar, Sylvain Rousseau +1
We propose a method for obtaining statistically guaranteed prediction sets for functional machine learning methods: surrogate models which map between function spaces, motivated by…
cs.CV2024
Harnessing Superclasses for Learning from Hierarchical Databases
Nicolas Urbani, Sylvain Rousseau, Yves Grandvalet +1
In many large-scale classification problems, classes are organized in a known hierarchy, typically represented as a tree expressing the inclusion of classes in superclasses. We int…