A Phase Transition in Diffusion Models Reveals the Hierarchical Nature
of Data

A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data

26 February 2024

Antonio Sclocchi

Alessandro Favero

Papers citing "A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data"

13 / 13 papers shown

Title
Emergence of Structure in Ensembles of Random Neural Networks Luca Muscarnera Luigi Loreti Giovanni Todeschini Alessio Fumagalli Francesco Regazzoni 26 0 0 15 May 2025
Scaling Laws and Representation Learning in Simple Hierarchical Languages: Transformers vs. Convolutional Architectures Francesco Cagnetta Alessandro Favero Antonio Sclocchi M. Wyart 26 0 0 11 May 2025
Learning curves theory for hierarchically compositional data with power-law distributed features Francesco Cagnetta Hyunmo Kang M. Wyart 36 0 0 11 May 2025
Entropic Time Schedulers for Generative Diffusion Models Dejan Stancevic Luca Ambrogioni DiffM OOD 51 0 0 18 Apr 2025
Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations Krunoslav Lehman Pavasovic Jakob Verbeek Giulio Biroli Marc Mézard 64 0 0 11 Feb 2025
Dynamic Negative Guidance of Diffusion Models Felix Koulischer Johannes Deleu G. Raya T. Demeester L. Ambrogioni DiffM 49 2 0 03 Jan 2025
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi Lei Wang K. Zhou 26 4 0 28 Oct 2024
Probing the Latent Hierarchical Structure of Data via Diffusion Models Antonio Sclocchi Alessandro Favero Noam Itzhak Levi M. Wyart DiffM 33 3 0 17 Oct 2024
Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong Guan-Hong Chen Biwei Huang Eric P. Xing Yuejie Chi Kun Zhang 52 4 0 01 Jun 2024
Cascade of phase transitions in the training of Energy-based models Dimitrios Bachtis Giulio Biroli A. Decelle Beatriz Seoane 39 4 0 23 May 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 41 11 0 29 Apr 2024
Learning multi-scale local conditional probability models of images Zahra Kadkhodaie Florentin Guth S. Mallat Eero P. Simoncelli DiffM 37 17 0 06 Mar 2023
Diffusion Models are Minimax Optimal Distribution Estimators Kazusato Oko Shunta Akiyama Taiji Suzuki DiffM 72 85 0 03 Mar 2023