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stat.ML2024
Probing the Latent Hierarchical Structure of Data via Diffusion Models
Antonio Sclocchi, Alessandro Favero, Noam Itzhak Levi +1
High-dimensional data must be highly structured to be learnable. Although the compositional and hierarchical nature of data is often put forward to explain learnability, quantitati…
stat.ML2024
A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data
Antonio Sclocchi, Alessandro Favero, Matthieu Wyart
Understanding the structure of real data is paramount in advancing modern deep-learning methodologies. Natural data such as images are believed to be composed of features organized…