How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model

Umberto Maria Tomasini; Matthieu Wyart

2024 ICML ICML 2024

How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🐣 Hot Topic Early Bird - sparsity

Authors

Umberto Maria Tomasini, Matthieu Wyart

Topics

Machine Learning > Core Methods > Representation Learning Machine Learning > Optimization & Theory > Learning Theory Deep Learning > Models > Generative Models

Keywords

sample complexity hierarchical representation sparsity cnn insensitivity sparse random hierarchy model

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