Equilibrium Model

Equilibrium models represent a class of computational methods aiming to find stable solutions by iteratively refining an initial state until a steady-state is reached. Current research focuses on understanding their theoretical properties, particularly concerning convergence and stability, with deep equilibrium models and related architectures being prominent. This work is significant for its applications in diverse fields like decentralized finance, solving inverse problems, and even analyzing phase transitions in physics, offering efficient and robust solutions to complex problems.