10 papers
Circuit realization and hardware linearization of monotone operator equilibrium networks
Thomas Chaffey
It is shown that the port behavior of a resistor-diode network corresponds to the solution of a ReLU monotone operator equilibrium network (a neural network in the limit of infinit…
Quantization Robustness of Monotone Operator Equilibrium Networks
James Li, Philip H. W. Leong, Thomas Chaffey
Monotone operator equilibrium networks are implicit-layer models whose output is the unique equilibrium of a monotone operator, guaranteeing existence, uniqueness, and convergence.…
Convergence of energy-based learning in linear resistive networks
Anne-Men Huijzer, Thomas Chaffey, Bart Besselink +1
Energy-based learning algorithms are alternatives to backpropagation and are well-suited to distributed implementations in analog electronic devices. However, a rigorous theory of…
Kernel Modelling of Fading Memory Systems
Yongkang Huo, Thomas Chaffey, Rodolphe Sepulchre
The paper is a follow-up of the recently introduced kernel-based framework to identify nonlinear input-output systems regularized by desirable input-output incremental properties.…
Operator-Splitting Methods for Neuromorphic Circuit Simulation
Amir Shahhosseini, Thomas Chaffey, Rodolphe Sepulchre
A novel splitting algorithm is proposed for the numerical simulation of neuromorphic circuits. The algorithm is grounded in the operator-theoretic concept of monotonicity, which be…
An Operator-Theoretic Framework to Simulate Neuromorphic Circuits
Amir Shahhosseini, Thomas Chaffey, Rodolphe Sepulchre
Splitting algorithms are well-established in convex optimization and are designed to solve large-scale problems. Using such algorithms to simulate the behavior of nonlinear circuit…