Generalization error bounds for deep unfolding RNNs

Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis

Abstract: Recurrent Neural Networks (RNNs) are powerful models with the ability to model sequential data. However, they are often viewed as black-boxes and lack in interpretability. Deep unfolding methods ta...