The most widely studied explainable AI (XAI) approaches are unsound. Thi...
Given a machine learning (ML) model and a prediction, explanations can b...
Decision trees (DTs) embody interpretable classifiers. DTs have been
adv...
Knowledge compilation (KC) languages find a growing number of practical ...
Recent work proposed δ-relevant inputs (or sets) as a probabilistic
expl...
Recent work proposed the computation of so-called PI-explanations of Nai...
Domain reduction is an essential tool for solving the constraint satisfa...
We investigate the complexity of local search based on steepest ascent. ...
We investigate rules which allow variable elimination in binary CSP
(con...
Singleton arc consistency is an important type of local consistency whic...
The gossip problem, in which information (known as secrets) must be shar...
Variable or value elimination in a constraint satisfaction problem (CSP)...
In the context of CSPs, a strong backdoor is a subset of variables such ...
The minimisation problem of a sum of unary and pairwise functions of dis...
Although the CSP (constraint satisfaction problem) is NP-complete, even ...
The constraint satisfaction problem (CSP) is a general problem central t...