arXiv Machine Learning June 29, 2026 By Kazuhisa Fujita

Accelerating Hierarchical Sparse Predictive Coding with Hybrid Amortized Inference

Read the original on arXiv Machine Learning →

arXiv:2606. 27802v1 Announce Type: new Abstract: Hierarchical predictive coding provides an interpretable framework for perception as error-driven inference in multi-layer generative models, while sparse coding imposes parsimonious latent representations through explicit sparsity constraints.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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