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cs.AI2025
Bayesian Networks, Markov Networks, Moralisation, Triangulation: a Categorical Perspective
Antonio Lorenzin, Fabio Zanasi
Moralisation and Triangulation are transformations allowing to switch between different ways of factoring a probability distribution into a graphical model. Moralisation allows to…
cs.AI2025
Logic Explanation of AI Classifiers by Categorical Explaining Functors
Stefano Fioravanti, Francesco Giannini, Paolo Frazzetto +2
The most common methods in explainable artificial intelligence are post-hoc techniques which identify the most relevant features used by pretrained opaque models. Some of the most…
cs.AI2025
An Algebraic Approach to Moralisation and Triangulation of Probabilistic Graphical Models
Antonio Lorenzin, Fabio Zanasi
Moralisation and Triangulation are transformations allowing to switch between different ways of factoring a probability distribution into a graphical model. Moralisation allows to…