Definition
A neural network design that finds an answer by solving for where iteration would settle, rather than running fixed steps.
Deep Equilibrium Models, an architecture that defines its forward pass as the fixed point of a learned operator solved via root-finding.
Also called: DEQs, Deep Equilibrium Models