Presentation at SEFM'22

Our paper Constrained Training of Recurrent Neural Networks for Automata Learning has been presented at SEFM’22 in Berlin.

In this paper, written together with Bernhard K. Aichernig, Sandra König, Cristinel Mateis, Dominik Schmidt, and Martin Tappler, we propose a recurrent neural network architecture that enables the learning of a finite automata.