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Signal Propagation: A Framework for Learning and Inference In a Forward
  Pass

Signal Propagation: A Framework for Learning and Inference In a Forward Pass

4 April 2022
Adam A. Kohan
E. Rietman
H. Siegelmann
ArXivPDFHTML

Papers citing "Signal Propagation: A Framework for Learning and Inference In a Forward Pass"

6 / 6 papers shown
Title
ADMM-Based Training for Spiking Neural Networks
ADMM-Based Training for Spiking Neural Networks
Giovanni Perin
Cesare Bidini
Riccardo Mazzieri
M. Rossi
24
0
0
08 May 2025
Benchmarking Predictive Coding Networks -- Made Simple
Benchmarking Predictive Coding Networks -- Made Simple
Luca Pinchetti
Chang Qi
Oleh Lokshyn
Gaspard Olivers
Cornelius Emde
...
Simon Frieder
Bayar I. Menzat
Rafal Bogacz
Thomas Lukasiewicz
Tommaso Salvatori
130
5
0
17 Feb 2025
Self-Contrastive Forward-Forward Algorithm
Self-Contrastive Forward-Forward Algorithm
Xing Chen
Dongshu Liu
Jérémie Laydevant
Julie Grollier
39
2
0
17 Sep 2024
Improving equilibrium propagation without weight symmetry through
  Jacobian homeostasis
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
Axel Laborieux
Friedemann Zenke
17
7
0
05 Sep 2023
The Forward-Forward Algorithm: Some Preliminary Investigations
The Forward-Forward Algorithm: Some Preliminary Investigations
Geoffrey E. Hinton
25
258
0
27 Dec 2022
Neuromorphic Deep Learning Machines
Neuromorphic Deep Learning Machines
Emre Neftci
C. Augustine
Somnath Paul
Georgios Detorakis
BDL
129
257
0
16 Dec 2016
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