2 papers
cs.AI2026
A Geometric Unification of Concept Learning with Concept Cones
Alexandre Rocchi, Thomas Fel, Gianni Franchi
Two traditions of interpretability have evolved side by side but seldom spoken to each other: Concept Bottleneck Models (CBMs), which prescribe what a concept should be, and Sparse…
cs.CV2026
From Local Geometry to Global Pseudo Labeling for Robust Positive Unlabeled Learning under Covariate Shift
Firas Gabetni, Alexandre Rocchi Henry, Nacim Belkhir +2
Detecting covariate shift is critical for building reliable vision systems. While most prior work focuses on improving robustness to shift, explicitly detecting covariate shift rem…