Deep Learning and Hierarchal Generative Models

29 December 2016

Papers citing "Deep Learning and Hierarchal Generative Models"

7 / 7 papers shown

Title
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
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
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 43 11 0 29 Apr 2024
Reconstruction on Trees and Low-Degree Polynomials Frederic Koehler Elchanan Mossel 35 9 0 14 Sep 2021
Computational Separation Between Convolutional and Fully-Connected Networks Eran Malach Shai Shalev-Shwartz 19 26 0 03 Oct 2020
From Boltzmann Machines to Neural Networks and Back Again Surbhi Goel Adam R. Klivans Frederic Koehler 19 5 0 25 Jul 2020
Benefits of depth in neural networks Matus Telgarsky 148 602 0 14 Feb 2016