Score-Based Generative Modeling through Stochastic Differential Equations

26 November 2020

Yang Song

Jascha Narain Sohl-Dickstein

Papers citing "Score-Based Generative Modeling through Stochastic Differential Equations"

24 / 4,374 papers shown

Title
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss Zhisheng Xiao Qing Yan Y. Amit 37 2 0 23 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 65 3,582 0 18 Feb 2021
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations Winnie Xu Ricky T. Q. Chen Xuechen Li David Duvenaud BDL UQCV 37 46 0 12 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 238 407 0 10 Feb 2021
Using Deep LSD to build operators in GANs latent space with meaning in real space J. Q. Toledo-Marín J. Glazier GAN 39 3 0 09 Feb 2021
Neural SDEs as Infinite-Dimensional GANs Patrick Kidger James Foster Xuechen Li Harald Oberhauser Terry Lyons DiffM 16 146 0 06 Feb 2021
Adversarial Text-to-Image Synthesis: A Review Stanislav Frolov Tobias Hinz Federico Raue Jörn Hees Andreas Dengel EGVM 32 176 0 25 Jan 2021
Stochastic Image Denoising by Sampling from the Posterior Distribution Bahjat Kawar Gregory Vaksman Michael Elad DiffM 35 62 0 23 Jan 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 69 635 0 22 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 38 249 0 09 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 197 263 0 07 Jan 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions Huangjie Zheng Mingyuan Zhou OT 50 29 0 28 Dec 2020
Learning Energy-Based Models With Adversarial Training Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 64 9 0 11 Dec 2020
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models Fan Bao Kun Xu Chongxuan Li Lanqing Hong Jun Zhu Bo Zhang DiffM 22 8 0 16 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja Alex Schwing Jan Kautz Arash Vahdat DRL 26 81 0 06 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 61 7,105 0 06 Oct 2020
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering Yihao Huang Felix Juefei Xu Qing Guo Yang Liu G. Pu 57 20 0 19 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Yue Liu AAML 40 128 0 09 Sep 2020
A Deterministic Approximation to Neural SDEs Andreas Look M. Kandemir Barbara Rakitsch Jan Peters DiffM 9 4 0 16 Jun 2020
Multimodal Controller for Generative Models Enmao Diao Jie Ding Vahid Tarokh 47 3 0 07 Feb 2020
Learning Generative Models using Denoising Density Estimators Siavash Bigdeli Geng Lin Tiziano Portenier L. A. Dunbar Matthias Zwicker DiffM 52 16 0 08 Jan 2020
A Near-Optimal Gradient Flow for Learning Neural Energy-Based Models Yang Wu Pengxu Wei Liang Lin 35 0 0 31 Oct 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 397 10,443 0 12 Dec 2018
MCMC using Hamiltonian dynamics Radford M. Neal 210 3,275 0 09 Jun 2012