Sliced Score Matching: A Scalable Approach to Density and Score Estimation

17 May 2019

Papers citing "Sliced Score Matching: A Scalable Approach to Density and Score Estimation"

45 / 295 papers shown

Title
Estimating High Order Gradients of the Data Distribution by Denoising Chenlin Meng Yang Song Wenzhe Li Stefano Ermon DiffM 8 44 0 08 Nov 2021
Pseudo-Spherical Contrastive Divergence Lantao Yu Jiaming Song Yang Song Stefano Ermon 23 7 0 01 Nov 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 37 399 0 08 Oct 2021
Smooth Normalizing Flows Jonas Köhler Andreas Krämer Frank Noé 24 53 0 01 Oct 2021
Interpreting diffusion score matching using normalizing flow Wenbo Gong Yingzhen Li DiffM 19 13 0 21 Jul 2021
On Out-of-distribution Detection with Energy-based Models Sven Elflein Bertrand Charpentier Daniel Zügner Stephan Günnemann OODD 14 18 0 03 Jul 2021
Conjugate Energy-Based Models Hao Wu Babak Esmaeili Michael L. Wick Jean-Baptiste Tristan Jan Willem van de Meent 16 2 0 25 Jun 2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models Tijin Yan Hongwei Zhang Tong Zhou Yufeng Zhan Yuanqing Xia DiffM AI4TS 28 38 0 18 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 11 657 0 10 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 37 134 0 07 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 19 27 0 06 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 30 186 0 05 Jun 2021
Ab-initio study of interacting fermions at finite temperature with neural canonical transformation Hao Xie Linfeng Zhang Lei Wang 14 26 0 18 May 2021
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models Jiaxiang Wu Shitong Luo Tao Shen Haidong Lan Sheng Wang Junzhou Huang DiffM 24 8 0 11 May 2021
Learning Gradient Fields for Molecular Conformation Generation Chence Shi Shitong Luo Minkai Xu Jian Tang DiffM AI4CE 31 210 0 09 May 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 13 24 0 20 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 36 478 0 08 Mar 2021
Active Slices for Sliced Stein Discrepancy Wenbo Gong Kaibo Zhang Yingzhen Li José Miguel Hernández-Lobato 17 8 0 05 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 62 621 0 22 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 12 241 0 09 Jan 2021
Score Matched Neural Exponential Families for Likelihood-Free Inference Lorenzo Pacchiardi Ritabrata Dutta 19 27 0 20 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 8 6,045 0 26 Nov 2020
Autoregressive Score Matching Chenlin Meng Lantao Yu Yang Song Jiaming Song Stefano Ermon DiffM 180 12 0 24 Oct 2020
Imitation with Neural Density Models Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 34 11 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 8 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 14 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 D. Duvenaud 6 70 0 08 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 25 12 0 27 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 14 769 0 02 Sep 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Zekun Hao Serge J. Belongie Noah Snavely B. Hariharan 3DPC 8 280 0 14 Aug 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 22 53 0 07 Jul 2020
Kernel Stein Generative Modeling Wei-Cheng Chang Chun-Liang Li Youssef Mroueh Yiming Yang DiffM BDL 33 5 0 06 Jul 2020
Sliced Kernelized Stein Discrepancy Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato 12 37 0 30 Jun 2020
Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability Suraj Srinivas F. Fleuret FAtt 8 1 0 16 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 26 1,113 0 16 Jun 2020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation Jae Hyun Lim Aaron Courville C. Pal Chin-Wei Huang DRL 6 23 0 09 Jun 2020
Nonparametric Score Estimators Yuhao Zhou Jiaxin Shi Jun Zhu 22 23 0 20 May 2020
Mutual Information Gradient Estimation for Representation Learning Liangjiang Wen Yiji Zhou Lirong He Mingyuan Zhou Zenglin Xu DRL SSL 12 27 0 03 May 2020
Energy-Based Imitation Learning Minghuan Liu Tairan He Minkai Xu Weinan Zhang 9 48 0 20 Apr 2020
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models Ziyu Wang Shuyu Cheng Yueru Li Jun Zhu Bo Zhang 18 14 0 18 Feb 2020
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling Will Grathwohl Kuan-Chieh Jackson Wang J. Jacobsen D. Duvenaud R. Zemel 11 14 0 13 Feb 2020
Learning Generative Models using Denoising Density Estimators Siavash Bigdeli Geng Lin Tiziano Portenier L. A. Dunbar Matthias Zwicker DiffM 26 15 0 08 Jan 2020
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching Zengyi Li Yubei Chen Friedrich T. Sommer DiffM 11 26 0 17 Oct 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 20 3,698 0 12 Jul 2019
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 86 222 0 06 Mar 2017