Learning on Arbitrary Graph Topologies via Predictive Coding

31 January 2022

Papers citing "Learning on Arbitrary Graph Topologies via Predictive Coding"

22 / 22 papers shown

Title
DMPCN: Dynamic Modulated Predictive Coding Network with Hybrid Feedback Representations A S M Sharifuzzaman Sagar Yu Chen Jun Hoong Chan 19 0 0 20 Apr 2025
Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning Alexander Ororbia Karl J. Friston Rajesh P. N. Rao SSL 47 0 0 22 Mar 2025
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 108 5 0 17 Feb 2025
Predictive Attractor Models R. Mounir Sudeep Sarkar 13 0 0 03 Oct 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm Eli Sennesh Hao Wu Tommaso Salvatori 19 0 0 11 Aug 2024
Predictive Coding Networks and Inference Learning: Tutorial and Survey B. V. Zwol Ro Jefferson E. V. D. Broek 39 0 0 04 Jul 2024
A Review of Neuroscience-Inspired Machine Learning Alexander Ororbia A. Mali Adam Kohan Beren Millidge Tommaso Salvatori 16 6 0 16 Feb 2024
Nature-Inspired Local Propagation Alessandro Betti Marco Gori AI4CE 18 0 0 04 Feb 2024
Predictive Coding beyond Correlations Tommaso Salvatori Luca Pinchetti Amine MĆharrak Beren Millidge Thomas Lukasiewicz BDL CML 11 3 0 27 Jun 2023
Block-local learning with probabilistic latent representations David Kappel Khaleelulla Khan Nazeer Cabrel Teguemne Fokam Christian Mayr Anand Subramoney 11 4 0 24 May 2023
Understanding and Improving Optimization in Predictive Coding Networks Nick Alonso J. Krichmar Emre Neftci 64 7 0 23 May 2023
Sequential Memory with Temporal Predictive Coding Mufeng Tang Helen C. Barron Rafal Bogacz 11 16 0 19 May 2023
Robust Graph Representation Learning via Predictive Coding Billy Byiringiro Tommaso Salvatori Thomas Lukasiewicz OOD 15 7 0 09 Dec 2022
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 11 10 0 16 Nov 2022
Predictive Coding beyond Gaussian Distributions Luca Pinchetti Tommaso Salvatori Yordan Yordanov Beren Millidge Yuhang Song Thomas Lukasiewicz UQCV BDL 19 11 0 07 Nov 2022
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems Alexander Ororbia A. Mali 32 7 0 19 Sep 2022
Preventing Deterioration of Classification Accuracy in Predictive Coding Networks Paul F Kinghorn Beren Millidge Christopher L. Buckley 9 5 0 15 Aug 2022
A Theoretical Framework for Inference and Learning in Predictive Coding Networks Beren Millidge Yuhang Song Tommaso Salvatori Thomas Lukasiewicz Rafal Bogacz 11 10 0 21 Jul 2022
A Theoretical Framework for Inference Learning Nick Alonso Beren Millidge J. Krichmar Emre Neftci 12 16 0 01 Jun 2022
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning Beren Millidge Yuhang Song Tommaso Salvatori Thomas Lukasiewicz Rafal Bogacz 13 21 0 31 May 2022
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? Beren Millidge Tommaso Salvatori Yuhang Song Rafal Bogacz Thomas Lukasiewicz AI4CE PINN 6 42 0 18 Feb 2022
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems Logan G. Wright Tatsuhiro Onodera Martin M. Stein Tianyu Wang Darren T. Schachter Zoey Hu Peter L. McMahon PINN AI4CE 22 457 0 27 Apr 2021