A Theoretical Framework for Inference and Learning in Predictive Coding Networks

21 July 2022

Papers citing "A Theoretical Framework for Inference and Learning in Predictive Coding Networks"

9 / 9 papers shown

Title
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 127 5 0 17 Feb 2025
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation Satoki Ishikawa Rio Yokota Ryo Karakida 46 0 0 04 Nov 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm Eli Sennesh Hao Wu Tommaso Salvatori 34 0 0 11 Aug 2024
Predictive Coding Networks and Inference Learning: Tutorial and Survey B. V. Zwol Ro Jefferson E. V. D. Broek 50 0 0 04 Jul 2024
A Sparse Quantized Hopfield Network for Online-Continual Memory Nick Alonso J. Krichmar 22 3 0 27 Jul 2023
Understanding Predictive Coding as an Adaptive Trust-Region Method Francesco Innocenti Ryan Singh Christopher L. Buckley 16 0 0 29 May 2023
Understanding and Improving Optimization in Predictive Coding Networks Nick Alonso J. Krichmar Emre Neftci 73 7 0 23 May 2023
Attention: Marginal Probability is All You Need? Ryan Singh Christopher L. Buckley 31 2 0 07 Apr 2023
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks Tommaso Salvatori Yuhang Song Yordan Yordanov Beren Millidge Zheng R. Xu Lei Sha Cornelius Emde Rafal Bogacz Thomas Lukasiewicz 24 10 0 16 Nov 2022