41 citations · 152 across the 18 of their papers we have counts for
3 papers · 1 filter
Energy-based learning algorithms for analog computing: a comparative study
Benjamin Scellier, Maxence Ernoult, Jack Kendall +1
Energy-based learning algorithms have recently gained a surge of interest due to their compatibility with analog (post-digital) hardware. Existing algorithms include contrastive le…
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…
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…