A Nonlinear Separation Principle: Applications to Neural Networks, Control and Learning
arXiv:2604.15238v1 Announce Type: cross
Abstract: This paper investigates continuous-time and discrete-time firing-rate and Hopfield recurrent neural networks (RNNs), with applications in nonlinear control design and implicit deep learning. First, we …