Recent progress towards theoretical interpretability guarantees for AI h...
We present a new theoretical framework for making black box classifiers ...
One of the goals of Explainable AI (XAI) is to determine which input
com...
We give a complete characterisation of families of probability distribut...
We formalise the widespread idea of interpreting neural network decision...
For a Boolean function Φ{0,1}^d→{0,1} and an assignment to
its variables...
Current learning machines have successfully solved hard application prob...