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Training a Predictive Coding Network on ImageNet using Equilibrium Propagation

An equilibrium propagation method trains a 10-layer predictive coding network on ImageNet, achieving 13.23% top-5 error near the backpropagation baseline and scaling both approaches to ImageNet for the first time.

Tugdual Kerjan, Rasmus Høier, Benjamin Scellier

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 2/5