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05/22/2023
Training an Ising Machine with Equilibrium Propagation
Ising machines, which are hardware implementations of the Ising model of...
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11/02/2022
RF signal classification in hardware with an RF spintronic neural network
Extracting information from radiofrequency (RF) signals using artificial...
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04/04/2022
Quantum materials for energy-efficient neuromorphic computing
Neuromorphic computing approaches become increasingly important as we ad...
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07/23/2021
Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations
Deep learning has an increasing impact to assist research, allowing, for...
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03/16/2021
Training Dynamical Binary Neural Networks with Equilibrium Propagation
Equilibrium Propagation (EP) is an algorithm intrinsically adapted to th...
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10/15/2020
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
Neuromorphic systems achieve high energy efficiency by computing with sp...
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06/06/2020
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
Equilibrium Propagation (EP) is a biologically-inspired algorithm for co...
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04/29/2020
Equilibrium Propagation with Continual Weight Updates
Equilibrium Propagation (EP) is a learning algorithm that bridges Machin...
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04/29/2020
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation
Equilibrium Propagation (EP) is a biologically inspired alternative algo...
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05/31/2019
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Equilibrium Propagation (EP) is a biologically inspired learning algorit...
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05/10/2019
Role of non-linear data processing on speech recognition task in the framework of reservoir computing
The reservoir computing neural network architecture is widely used to te...
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01/25/2017