2 papers
stat.ML2026
-TCAV: A Unified Framework for Testing with Concept Activation Vectors
Ekkehard Schnoor, Jawher Said, Malik Tiomoko +2
Concept Activation Vectors (CAVs) are a fundamental tool for concept-based explainability in deep learning, yet their practical utility is limited by statistical instability. We an…
cs.LG2026
Interpretable Multiple Myeloma Prognosis with Observational Medical Outcomes Partnership Data
Salma Rachidi, Aso Bozorgpanah, Eric Fey +1
Machine learning (ML) promises better clinical decision-making, yet opaque model behavior limits the adoption in healthcare. We propose two novel regularization techniques for ensu…