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Bogacz, Rafal
 
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Results 1-8 of 8 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Song-2024-Nature Neuroscience-vor.pdf.jpgSong, Yuhang ; Millidge, Beren ; Salvatori, Tommaso ; Lukasiewicz, Thomas ; Xu, Zhenghua ; Bogacz, Rafal Inferring neural activity before plasticity as a foundation for learning beyond backpropagationArticle Artikel 2024
2Tang, Mufeng ; Salvatori, Tommaso ; Millidge, Beren ; Song, Yuhang ; Lukasiewicz, Thomas ; Bogacz, Rafal Recurrent predictive coding models for associative memory employing covariance learningArticle Artikel 14-Apr-2023
3Salvatori, Tommaso ; Millidge, Beren ; Song, Yuhang ; Bogacz, Rafal ; Lukasiewicz, Thomas Associative Memories in the Feature SpaceInproceedings Konferenzbeitrag 2023
4Millidge, Beren ; Song, Yuhang ; Salvatori, Tommaso ; Lukasiewicz, Thomas ; Bogacz, Rafal A Theoretical Framework for Inference and Learning in Predictive Coding NetworksInproceedings Konferenzbeitrag 2023
5Millidge, Beren ; Song, Yuhang ; Salvatori, Tommaso ; Lukasiewicz, Thomas ; Bogacz, Rafal Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian LearningInproceedings Konferenzbeitrag 2023
6Salvatori, Tommaso ; Pinchetti, Luca ; Millidge, Beren ; Song, Yuhang ; Bao, Tianyi ; Bogacz, Rafal ; Lukasiewicz, Thomas Learning on Arbitrary Graph Topologies via Predictive CodingInproceedings Konferenzbeitrag 2022
7Millidge, Beren ; Salvatori, Tommaso ; Song, Yuhang ; Lukasiewicz, Thomas ; Bogacz, Rafal Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory ModelsInproceedings Konferenzbeitrag 2022
8Millidge, Beren ; Salvatori, Tommaso ; Song, Yuhang ; Bogacz, Rafal ; Lukasiewicz, Thomas Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?Inproceedings Konferenzbeitrag 2022