Dino Pedreschi

Methods and tools for causal discovery and causal inference

2022 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

Abstract Causality is a complex concept, which roots its developments across several fields, such as statistics, economics, epidemiology, computer science, and philosophy. In recent years, the study of causal relationships has become a crucial part …

Dense Hebbian neural networks: a replica symmetric picture of supervised learning

2022 · arXiv (Cornell University)

We consider dense, associative neural-networks trained by a teacher (i.e., with supervision) and we investigate their computational capabilities analytically, via statistical-mechanics of spin glasses, and numerically, via Monte Carlo simulations. In particular, we obtain a …

Co-design of Human-centered, Explainable AI for Clinical Decision Support

2023 · ACM Transactions on Interactive Intelligent Systems

eXplainable AI (XAI) involves two intertwined but separate challenges: the development of techniques to extract explanations from black-box AI models and the way such explanations are presented to users, i.e., the explanation user interface. Despite …