5 papers
PotentialEP: Backprop-Free Training of CIFAR-Scale Generative Models via Equilibrium Propagation
Alex Gower
Generating an image with a diffusion or flow-matching model typically involves integrating a velocity field for hundreds of sequential steps. That computation suits a GPU poorly an…
FlowEqProp: Training Flow Matching Generative Models with Gradient Equilibrium Propagation
Alex Gower
We introduce Gradient Equilibrium Propagation (GradEP), a mechanism that extends Equilibrium Propagation (EP) to train energy gradients rather than energy minima, enabling EP to be…
Learning at the Speed of Physics: Equilibrium Propagation on Oscillator Ising Machines
Alex Gower
Physical systems that naturally perform energy descent offer a direct route to accelerating machine learning. Oscillator Ising Machines (OIMs) exemplify this idea: their GHz-freque…
How to Train an Oscillator Ising Machine using Equilibrium Propagation
Alex Gower
We show that Oscillator Ising Machines (OIMs) are prime candidates for use as neuromorphic machine learning processors with Equilibrium Propagation (EP) based on-chip learning. The…
Saddles-to-minima topological crossover and glassiness in the Rubik's Cube
Alex Gower, Oliver Hart, Claudio Castelnovo
Slow relaxation and glassiness have been the focus of extensive research attention, along with popular and technological interest, for many decades. While much understanding has be…