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Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm


Nov 16, 2022
Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz

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* 18 pages, 7 figures 

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Predictive Coding beyond Gaussian Distributions


Nov 07, 2022
Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz

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Bird-Eye Transformers for Text Generation Models


Oct 08, 2022
Lei Sha, Yuhang Song, Yordan Yordanov, Tommaso Salvatori, Thomas Lukasiewicz

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A Theoretical Framework for Inference and Learning in Predictive Coding Networks


Aug 03, 2022
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz

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* 21/07/22 initial upload (finally); 03/08/22 revisions 

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Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning


May 31, 2022
Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz

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* 31/05/22 initial upload 

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Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?


Feb 18, 2022
Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz

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* 18/02/22 initial upload 

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Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models


Feb 09, 2022
Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz

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* 09/02/22 initial upload 

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Learning on Arbitrary Graph Topologies via Predictive Coding


Feb 05, 2022
Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz

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* 15 pages, 11 figures 

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Associative Memories via Predictive Coding


Sep 16, 2021
Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz

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* 24 pages, 18 figures 

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Predictive Coding Can Do Exact Backpropagation on Any Neural Network


Mar 08, 2021
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu

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* 15 pages, 9 figures 

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