Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons

2 February 2023

Papers citing "Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons"

9 / 9 papers shown

Title
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks A. Mali Tommaso Salvatori Alexander Ororbia 25 0 0 07 Oct 2024
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 28 2 0 17 Sep 2024
Towards training digitally-tied analog blocks via hybrid gradient computation Timothy Nest M. Ernoult 39 1 0 05 Sep 2024
Two Tales of Single-Phase Contrastive Hebbian Learning R. Høier Christopher Zach 14 1 0 13 Feb 2024
Energy-based learning algorithms for analog computing: a comparative study B. Scellier M. Ernoult Jack D. Kendall Suhas Kumar 17 26 0 22 Dec 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis Axel Laborieux Friedemann Zenke 8 6 0 05 Sep 2023
A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions Abdullah Makkeh Marcel Graetz Andreas C. Schneider David A. Ehrlich V. Priesemann Michael Wibral 37 1 0 03 Jun 2023
Training an Ising Machine with Equilibrium Propagation Jérémie Laydevant Danijela Marković Julie Grollier 9 30 0 22 May 2023
Lifted Neural Networks Armin Askari Geoffrey Negiar Rajiv Sambharya L. Ghaoui 14 36 0 03 May 2018