Co-occurring keywords · papers mentioning both
Papers
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
ICLR 2024
Towards training digitally-tied analog blocks via hybrid gradient computation
NeurIPS 2024
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
ICLR 2023
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
ICML 2023
Energy-based learning algorithms for analog computing: a comparative study
NeurIPS 2023
Sequence Learning Using Equilibrium Propagation
IJCAI 2023
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
NeurIPS 2022
Biologically Motivated Algorithms for Propagating Local Target Representations
AAAI 2019
Initialized Equilibrium Propagation for Backprop-Free Training
ICLR 2019
Training a Spiking Neural Network with Equilibrium Propagation
AISTATS 2019
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
NeurIPS 2019