41 citations · 152 across the 18 of their papers we have counts for
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physics.app-ph2024★ 4 cited
Training of Physical Neural Networks
Ali Momeni, Babak Rahmani, Benjamin Scellier +25
Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research…
quant-ph2024
Quantum Equilibrium Propagation: Gradient-Descent Training of Quantum Systems
Benjamin Scellier
Equilibrium propagation (EP) is a training framework for energy-based systems, i.e. systems whose physics minimizes an energy function. EP has been explored in various classical ph…
cs.ET2024★ 1 cited
A Fast Algorithm to Simulate Nonlinear Resistive Networks
Benjamin Scellier
Analog electrical networks have long been investigated as energy-efficient computing platforms for machine learning, leveraging analog physics during inference. More recently, resi…