Record link: 
http://hdl.handle.net/20.500.12708/192475
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Title: 
Learning on Arbitrary Graph Topologies via Predictive Coding
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Citation: 
Salvatori, T., Pinchetti, L., Millidge, B., Song, Y., Bao, T., Bogacz, R., & Lukasiewicz, T. (2022). Learning on Arbitrary Graph Topologies via Predictive Coding. In Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (pp. 38232–38244). Neural information processing systems foundation. http://hdl.handle.net/20.500.12708/192475
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Salvatori, Tommaso 
Pinchetti, Luca 
Millidge, Beren 
Song, Yuhang 
Bao, Tianyi 
Bogacz, Rafal 
Lukasiewicz, Thomas 
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Organisational Unit: 
E192-07 - Forschungsbereich Artificial Intelligence Techniques 
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Published in: 
Advances in Neural Information Processing Systems 35 (NeurIPS 2022) 
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ISBN: 
9781713871088
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Volume: 
35
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Date (published): 
2022
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Event name: 
36th Conference on Neural Information Processing Systems 35 (NeurIPS 2022) 
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Event date: 
28-Nov-2022 - 9-Dec-2022
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Event place: 
New Orleans, United States of America (the)
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Number of Pages: 
13
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Publisher: 
Neural information processing systems foundation
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Peer reviewed: 
Yes
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Keywords: 
predictive coding; backpropagation; arbitrary graph topologies
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
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Appears in Collections:
Conference Paper

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