G. Pourcel

Generalizing equilibrium propagation to Lagrangian systems with arbitrary boundary conditions & equivalence with Hamiltonian echo learning

Equilibrium Propagation (EP) is a learning algorithm that applies to Energy-Based Models (EBMs) on static inputs. It estimates loss gradients by contrasting two steady states of the same EBM, rather than resorting to explicit adjoint dynamics. EP originally appealed as a plausible learning theory for biological subst...