Picture for Maxence Ernoult

Maxence Ernoult

Towards training digitally-tied analog blocks via hybrid gradient computation

Add code
Sep 05, 2024
Viaarxiv icon

Energy-based learning algorithms for analog computing: a comparative study

Add code
Dec 22, 2023
Viaarxiv icon

Towards Scaling Difference Target Propagation by Learning Backprop Targets

Add code
Jan 31, 2022
Figure 1 for Towards Scaling Difference Target Propagation by Learning Backprop Targets
Figure 2 for Towards Scaling Difference Target Propagation by Learning Backprop Targets
Figure 3 for Towards Scaling Difference Target Propagation by Learning Backprop Targets
Figure 4 for Towards Scaling Difference Target Propagation by Learning Backprop Targets
Viaarxiv icon

Training Dynamical Binary Neural Networks with Equilibrium Propagation

Add code
Mar 16, 2021
Figure 1 for Training Dynamical Binary Neural Networks with Equilibrium Propagation
Figure 2 for Training Dynamical Binary Neural Networks with Equilibrium Propagation
Figure 3 for Training Dynamical Binary Neural Networks with Equilibrium Propagation
Figure 4 for Training Dynamical Binary Neural Networks with Equilibrium Propagation
Viaarxiv icon

Synaptic metaplasticity in binarized neural networks

Add code
Jan 19, 2021
Figure 1 for Synaptic metaplasticity in binarized neural networks
Figure 2 for Synaptic metaplasticity in binarized neural networks
Figure 3 for Synaptic metaplasticity in binarized neural networks
Figure 4 for Synaptic metaplasticity in binarized neural networks
Viaarxiv icon

Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias

Add code
Jan 14, 2021
Figure 1 for Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
Figure 2 for Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
Figure 3 for Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
Figure 4 for Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
Viaarxiv icon

EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations

Add code
Oct 15, 2020
Figure 1 for EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
Figure 2 for EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
Figure 3 for EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
Figure 4 for EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
Viaarxiv icon

Equilibrium Propagation with Continual Weight Updates

Add code
Apr 29, 2020
Figure 1 for Equilibrium Propagation with Continual Weight Updates
Figure 2 for Equilibrium Propagation with Continual Weight Updates
Figure 3 for Equilibrium Propagation with Continual Weight Updates
Figure 4 for Equilibrium Propagation with Continual Weight Updates
Viaarxiv icon

Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation

Add code
Apr 29, 2020
Figure 1 for Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation
Viaarxiv icon

Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input

Add code
May 31, 2019
Figure 1 for Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Figure 2 for Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Figure 3 for Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Figure 4 for Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Viaarxiv icon