3 papers
cs.LG2026
Training a Predictive Coding Network on ImageNet using Equilibrium Propagation
Tugdual Kerjan, Rasmus Høier, Benjamin Scellier
Equilibrium Propagation (EP) is a physics-based training framework that has primarily been employed in energy-based models, including continuous Hopfield networks, nonlinear resist…
cs.LG2025
A universal approximation theorem for nonlinear resistive networks
Benjamin Scellier, Siddhartha Mishra
Resistor networks have recently been studied as analog computing platforms for machine learning, particularly due to their compatibility with the Equilibrium Propagation training f…
cond-mat.dis-nn2025
Temporal Contrastive Learning through implicit non-equilibrium memory
Martin J. Falk, Adam T. Strupp, Benjamin Scellier +1
The backpropagation method has enabled transformative uses of neural networks. Alternatively, for energy-based models, local learning methods involving only nearby neurons offer be…