3 papers
cs.AI2026
Partial Identification under Causal Orders by Linear Programming
Eric Rossetto, Alessandro Antonucci
Non-parametric (partial) identification of counterfactual queries typically relies on a fully specified causal graph. Motivated by settings with incomplete domain knowledge, we cha…
cs.LG2026
Automatic Causal Fairness Analysis with LLM-Generated Reporting
Alessia Berarducci, Eric Rossetto, Alessandro Antonucci +1
AutoML, intended as the process of automating the application of machine learning to real-world problems, is a key step for AI popularisation. Most AutoML frameworks are not accoun…
cs.RO2023
Humanising robot-assisted navigation
Placido Falqueto, Alessandro Antonucci, Luigi Palopoli +1
Robot-assisted navigation is a perfect example of a class of applications requiring flexible control approaches. When the human is reliable, the robot should concede space to their…