Circuit realization and hardware linearization of monotone operator equilibrium networks
The paper links resistor-diode networks to monotone operator equilibrium networks, providing a simple way to build analog hardware for neural networks. It introduces 'hardware linearization' to replace nonlinear diodes with linear approximations, allowing gradients to be computed directly on-chip without needing complex software.