Generative Modeling by Estimating Gradients of the Data Distribution

12 July 2019

Papers citing "Generative Modeling by Estimating Gradients of the Data Distribution"

50 / 2,622 papers shown

Title
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 61 140 0 02 Dec 2020
Refining Deep Generative Models via Discriminator Gradient Flow Abdul Fatir Ansari Ming Liang Ang Harold Soh 21 48 0 01 Dec 2020
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 164 6,230 0 26 Nov 2020
Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from ChangÉ-4 J. D. Curtó R. Duvall GAN 32 3 0 23 Nov 2020
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems Zaccharie Ramzi B. Remy F. Lanusse Jean-Luc Starck P. Ciuciu UQCV MedIm 50 14 0 16 Nov 2020
Diffusion models for Handwriting Generation Troy Luhman Eric Luhman DiffM 32 25 0 13 Nov 2020
Multiscale Score Matching for Out-of-Distribution Detection Ahsan Mahmood Junier Oliva M. Styner OODD 32 30 0 25 Oct 2020
Autoregressive Score Matching Chenlin Meng Lantao Yu Yang Song Jiaming Song Stefano Ermon DiffM 208 13 0 24 Oct 2020
Imitation with Neural Density Models Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 52 12 0 19 Oct 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
Bi-level Score Matching for Learning Energy-based Latent Variable Models Fan Bao Chongxuan Li Kun Xu Hang Su Jun Zhu Bo Zhang 33 13 0 15 Oct 2020
No MCMC for me: Amortized sampling for fast and stable training of energy-based models Will Grathwohl Jacob Kelly Milad Hashemi Mohammad Norouzi Kevin Swersky David Duvenaud 30 71 0 08 Oct 2020
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics Hirokazu Kameoka Takuhiro Kaneko Kou Tanaka Nobukatsu Hojo Shogo Seki DiffM 31 21 0 06 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 61 7,105 0 06 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models Zhisheng Xiao Karsten Kreis Jan Kautz Arash Vahdat 21 124 0 01 Oct 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model Zhuonan He Yikun Zhang Yu Guan S. Niu Yi Zhang Yang Chen Qiegen Liu DiffM MedIm 48 12 0 27 Sep 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 41 1,415 0 21 Sep 2020
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation Jason D. Lee Raphael Shu Kyunghyun Cho 14 26 0 15 Sep 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 40 125 0 11 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 24 780 0 02 Sep 2020
Blindness of score-based methods to isolated components and mixing proportions Wenliang K. Li Heishiro Kanagawa 36 34 0 23 Aug 2020
Few-Shot Learning with Intra-Class Knowledge Transfer Vivek Roy Yan Xu Yu-Xiong Wang Kris Kitani Ruslan Salakhutdinov M. Hebert VLM 29 3 0 22 Aug 2020
MPCC: Matching Priors and Conditionals for Clustering N. Astorga P. Huijse P. Protopapas P. Estévez 14 2 0 21 Aug 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 36 280 0 14 Aug 2020
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction Cong Quan Jinjie Zhou Yuanzheng Zhu Yang Chen Shanshan Wang Dong Liang Qiegen Liu DiffM MedIm 32 26 0 14 Aug 2020
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser Zahra Kadkhodaie Eero P. Simoncelli 37 82 0 27 Jul 2020
DeepNNK: Explaining deep models and their generalization using polytope interpolation Sarath Shekkizhar Antonio Ortega 14 6 0 20 Jul 2020
Hybrid Discriminative-Generative Training via Contrastive Learning Hao Liu Pieter Abbeel SSL 23 40 0 17 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 62 147 0 13 Jul 2020
Lessons Learned from the Training of GANs on Artificial Datasets Shichang Tang 22 18 0 13 Jul 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 38 53 0 07 Jul 2020
Kernel Stein Generative Modeling Wei-Cheng Chang Chun-Liang Li Youssef Mroueh Yiming Yang DiffM BDL 57 5 0 06 Jul 2020
Gradient Origin Networks Sam Bond-Taylor Chris G. Willcocks BDL DRL 43 18 0 06 Jul 2020
Sliced Kernelized Stein Discrepancy Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato 38 37 0 30 Jun 2020
Taming GANs with Lookahead-Minmax Tatjana Chavdarova Matteo Pagliardini Sebastian U. Stich François Fleuret Martin Jaggi GAN 24 25 0 25 Jun 2020
Normalizing Flows Across Dimensions Edmond Cunningham Renos Zabounidis Abhinav Agrawal Ina Fiterau Daniel Sheldon DRL 14 26 0 23 Jun 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 39 31 0 22 Jun 2020
Telescoping Density-Ratio Estimation Benjamin Rhodes Kai Xu Michael U. Gutmann 68 95 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 124 17,359 0 19 Jun 2020
Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis Adam Block Youssef Mroueh Alexander Rakhlin Jerret Ross 22 16 0 19 Jun 2020
Go with the Flow: Adaptive Control for Neural ODEs Mathieu Chalvidal Matthew Ricci Rufin VanRullen Thomas Serre 28 2 0 16 Jun 2020
Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability Suraj Srinivas François Fleuret FAtt 18 1 0 16 Jun 2020
The Bures Metric for Generative Adversarial Networks Hannes De Meulemeester J. Schreurs Michaël Fanuel B. De Moor Johan A. K. Suykens GAN 11 5 0 16 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 56 1,130 0 16 Jun 2020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation Jae Hyun Lim Aaron Courville C. Pal Chin-Wei Huang DRL 26 23 0 09 Jun 2020
Nonparametric Score Estimators Yuhao Zhou Jiaxin Shi Jun Zhu 40 23 0 20 May 2020
How to Train Your Energy-Based Model for Regression Fredrik K. Gustafsson Martin Danelljan Radu Timofte Thomas B. Schon 91 42 0 04 May 2020
Avoiding zero probability events when computing Value at Risk contributions Takaaki Koike Yuri F. Saporito Rodrigo S. Targino 11 3 0 28 Apr 2020
Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma X. Kong Shanghang Zhang Eduard H. Hovy DRL 32 3 0 12 Apr 2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator Yuxuan Song Qiwei Ye Minkai Xu Tie-Yan Liu 30 8 0 05 Apr 2020