2 papers
cs.LG2026
I-SAFE: Wasserstein Coherence Metrics for Structural Auditing of Scientific AI Models
Barbara Tarantino, Gennaro Auricchio, Paolo Giudici
Deep learning models are increasingly used in scientific prediction tasks where strong benchmark performance is often interpreted as evidence of scientifically meaningful behavior.…
cs.LG2026
ISAAC: Auditing Causal Reasoning in Deep Models for Drug-Target Interaction
Barbara Tarantino, Sun Kim, Yijingxiu Lu +1
Deep learning models for drug--target interaction (DTI) prediction often achieve strong benchmark performance without necessarily relying on mechanistically meaningful molecular fe…