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"

50 / 295 papers shown

Title
Generalizing and Improving Jacobian and Hessian Regularization Chenwei Cui Zehao Yan Guangsheng Liu Liangfu Lu AAML 19 1 0 01 Dec 2022
Diffusion Probabilistic Model Made Slim Xingyi Yang Daquan Zhou Jiashi Feng Xinchao Wang DiffM 27 101 0 27 Nov 2022
Generative Modeling in Structural-Hankel Domain for Color Image Inpainting Zihao Li Chunhua Wu Shen-Te Wu Wenbo Wan Yuhao Wang Qiegen Liu DiffM 23 0 0 25 Nov 2022
End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 11 16 0 25 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 37 354 0 14 Nov 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions Hongrui Chen Holden Lee Jianfeng Lu DiffM 29 124 0 03 Nov 2022
Self-Adapting Noise-Contrastive Estimation for Energy-Based Models Na Xu 4 2 0 03 Nov 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 28 80 0 02 Nov 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 192 53 0 02 Nov 2022
Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference Pierre Glaser Michael Arbel Samo Hromadka Arnaud Doucet A. Gretton 25 2 0 26 Oct 2022
On the failure of variational score matching for VAE models W. K. Li DRL 10 1 0 24 Oct 2022
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 23 4 0 24 Oct 2022
Improving Adversarial Robustness by Contrastive Guided Diffusion Process Yidong Ouyang Liyan Xie Guang Cheng 20 6 0 18 Oct 2022
Action Matching: Learning Stochastic Dynamics from Samples Kirill Neklyudov Rob Brekelmans Daniel de Souza Severo Alireza Makhzani 19 41 0 13 Oct 2022
Diffusion Models for Causal Discovery via Topological Ordering Pedro Sanchez Xiao Liu Alison Q. OÑeil Sotirios A. Tsaftaris DiffM 88 47 0 12 Oct 2022
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models Meng Liu Haoran Liu Shuiwang Ji 24 5 0 11 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 52 33 0 10 Oct 2022
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation Chieh-Hsin Lai Yuhta Takida Naoki Murata Toshimitsu Uesaka Yuki Mitsufuji Stefano Ermon DiffM 18 28 0 09 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective Yao Zhu YueFeng Chen Xiaodan Li Kejiang Chen Yuan He Xiang Tian Bo Zheng Yao-wu Chen Qingming Huang AAML 20 57 0 09 Oct 2022
Statistical Efficiency of Score Matching: The View from Isoperimetry Frederic Koehler Alexander Heckett Andrej Risteski DiffM 102 50 0 03 Oct 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Tongzheng Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 26 19 0 27 Sep 2022
On Investigating the Conservative Property of Score-Based Generative Models Chen-Hao Chao Wei-Fang Sun Bo Wun Cheng Chun-Yi Lee 31 10 0 26 Sep 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 28 6 0 22 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 194 1,140 0 10 Sep 2022
Learning to Generate Realistic LiDAR Point Clouds Vlas Zyrianov Xiyue Zhu Shenlong Wang 3DPC DiffM 74 58 0 08 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 37 206 0 06 Sep 2022
Unifying Generative Models with GFlowNets and Beyond Dinghuai Zhang Ricky T. Q. Chen Nikolay Malkin Yoshua Bengio BDL AI4CE 54 25 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,300 0 02 Sep 2022
Understanding Diffusion Models: A Unified Perspective Calvin Luo DiffM 11 332 0 25 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection Abhishek Joshi Sathish Chalasani K. N. Iyer OODD 24 4 0 23 Aug 2022
Classification via score-based generative modelling Yongchao Huang DiffM 11 2 0 22 Jul 2022
Generative Adversarial Networks and Other Generative Models Markus T. Wenzel GAN 17 10 0 08 Jul 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 25 11 0 17 Jun 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching Cheng Lu Kaiwen Zheng Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 34 81 0 16 Jun 2022
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows Phillip Si Zeyi Chen Subham S. Sahoo Yair Schiff Volodymyr Kuleshov 14 6 0 14 Jun 2022
Convergence for score-based generative modeling with polynomial complexity Holden Lee Jianfeng Lu Yixin Tan DiffM 18 126 0 13 Jun 2022
Score-Based Generative Models Detect Manifolds Jakiw Pidstrigach DiffM 24 70 0 02 Jun 2022
A Kernelised Stein Statistic for Assessing Implicit Generative Models Wenkai Xu G. Reinert SyDa 18 3 0 31 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 208 51 0 27 May 2022
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization Yihang Gao Huafeng Liu Michael K. Ng Mingjie Zhou 17 2 0 23 May 2022
Statistical applications of contrastive learning Michael U. Gutmann Steven Kleinegesse Benjamin Rhodes 16 7 0 29 Apr 2022
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations Fang Wu Stan Z. Li DiffM 19 31 0 19 Apr 2022
Denoising Likelihood Score Matching for Conditional Score-based Data Generation Chen-Hao Chao Wei-Fang Sun Bo Wun Cheng Yi-Chen Lo Chia-Che Chang Yu-Lun Liu Yu-Lin Chang Chia-Ping Chen Chun-Yi Lee DiffM 24 38 0 27 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis Max W. Y. Lam J. Wang Dan Su Dong Yu DiffM 29 92 0 25 Mar 2022
Generalized Score Matching for Regression Jiazhen Xu J. Scealy A. Wood Tao Zou 19 5 0 18 Mar 2022
Score matching enables causal discovery of nonlinear additive noise models Paul Rolland V. Cevher Matthäus Kleindessner Chris Russel Bernhard Schölkopf Dominik Janzing Francesco Locatello CML 43 84 0 08 Mar 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min-Bin Lin Xiao Yang Junyi Zhu Shuicheng Yan 17 119 0 21 Feb 2022
A Differential Entropy Estimator for Training Neural Networks Georg Pichler Pierre Colombo Malik Boudiaf Günther Koliander Pablo Piantanida 15 21 0 14 Feb 2022
Heavy-tailed denoising score matching J. Deasy Nikola Simidjievski Pietro Lio' DiffM 25 14 0 17 Dec 2021
Density Ratio Estimation via Infinitesimal Classification Kristy Choi Chenlin Meng Yang Song Stefano Ermon 14 38 0 22 Nov 2021