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Spontaneous Symmetry Breaking in Generative Diffusion Models

31 May 2023

Papers citing "Spontaneous Symmetry Breaking in Generative Diffusion Models"

25 / 25 papers shown

Title
Dynamic Negative Guidance of Diffusion Models Felix Koulischer Johannes Deleu G. Raya T. Demeester L. Ambrogioni DiffM 105 10 0 18 Oct 2024
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion Enrico Ventura Beatrice Achilli Gianluigi Silvestri Carlo Lucibello L. Ambrogioni DiffM 87 10 0 08 Oct 2024
Cascade of phase transitions in the training of Energy-based models Dimitrios Bachtis Giulio Biroli A. Decelle Beatriz Seoane 79 5 0 23 May 2024
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 124 94 0 02 Nov 2022
Make-A-Video: Text-to-Video Generation without Text-Video Data Uriel Singer Adam Polyak Thomas Hayes Xiaoyue Yin Jie An ... Oron Ashual Oran Gafni Devi Parikh Sonal Gupta Yaniv Taigman DiffM VGen 83 1,428 0 29 Sep 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 209 1,638 0 07 Apr 2022
Equivariant Diffusion for Molecule Generation in 3D Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 133 620 0 31 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu Lantao Yu Yang Song Chence Shi Stefano Ermon Jian Tang BDL DiffM 162 519 0 06 Mar 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds Luping Liu Yi Ren Zhijie Lin Zhou Zhao DiffM 105 652 0 20 Feb 2022
Coordinate Independent Convolutional Networks -- Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds Maurice Weiler Patrick Forré E. Verlinde Max Welling 57 84 0 10 Jun 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 113 1,033 0 19 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 353 6,566 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 289 7,469 0 06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 158 1,468 0 21 Sep 2020
Sampling using $SU(N)$ gauge equivariant flows D. Boyda G. Kanwar S. Racanière Danilo Jimenez Rezende M. S. Albergo Kyle Cranmer D. Hackett P. Shanahan 74 129 0 12 Aug 2020
Lorentz Group Equivariant Neural Network for Particle Physics A. Bogatskiy Brandon M. Anderson Jan T. Offermann M. Roussi David W. Miller Risi Kondor AI4CE 68 141 0 08 Jun 2020
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities Jonas Köhler Leon Klein Frank Noé DRL 106 276 0 03 Jun 2020
Equivariant flow-based sampling for lattice gauge theory G. Kanwar M. S. Albergo D. Boyda Kyle Cranmer D. Hackett S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 53 176 0 13 Mar 2020
Normalizing Flows on Tori and Spheres Danilo Jimenez Rezende George Papamakarios S. Racanière M. S. Albergo G. Kanwar P. Shanahan Kyle Cranmer TPM 84 157 0 06 Feb 2020
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 80 1,013 0 28 Nov 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 486 9,067 0 10 Jun 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 171 1,945 0 24 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 486 2,577 0 25 Jan 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,196 0 21 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 7,016 0 12 Mar 2015