v1v2 (latest)

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

Conference on Uncertainty in Artificial Intelligence (UAI), 2019

17 May 2019

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

50 / 333 papers shown

Title
On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka Naoki Murata Yuki Mitsufuji Stefano Ermon DiffM 158 11 0 01 Jun 2023
Efficient Training of Energy-Based Models Using Jarzynski EqualityNeural Information Processing Systems (NeurIPS), 2023 D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 256 13 0 30 May 2023
Unifying GANs and Score-Based Diffusion as Generative Particle ModelsNeural Information Processing Systems (NeurIPS), 2023 Jean-Yves Franceschi Mike Gartrell Ludovic Dos Santos Thibaut Issenhuth Emmanuel de Bezenac Mickaël Chen A. Rakotomamonjy DiffM 358 28 0 25 May 2023
Minimizing $f$ -Divergences by Interpolating Velocity FieldsInternational Conference on Machine Learning (ICML), 2023 Song Liu Jiahao Yu J. Simons Mingxuan Yi Mark Beaumont 333 5 0 24 May 2023
Training Energy-Based Normalizing Flow with Score-Matching ObjectivesNeural Information Processing Systems (NeurIPS), 2023 Chen-Hao Chao Wei-Fang Sun Yen-Chang Hsu Z. Kira Chun-Yi Lee 251 7 0 24 May 2023
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction Francesco Pedrotti J. Maas Marco Mondelli DiffM 260 19 0 23 May 2023
Moment Matching Denoising Gibbs SamplingNeural Information Processing Systems (NeurIPS), 2023 Mingtian Zhang Alex Hawkins-Hooker Brooks Paige David Barber DiffM 387 5 0 19 May 2023
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov NetworksInternational Conference on Learning Representations (ICLR), 2023 Yujia Zheng Ignavier Ng Yewen Fan Kun Zhang 143 6 0 19 May 2023
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variableInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Hyeok Kyu Kwon Minwoo Chae DRL 259 3 0 11 May 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher InformationNeural Information Processing Systems (NeurIPS), 2023 Kiwan Maeng Chuan Guo Sanjay Kariyappa G. E. Suh 193 13 0 06 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEsInternational Conference on Machine Learning (ICML), 2023 Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 278 50 0 06 May 2023
Diffusion Models for Time Series Applications: A Survey Lequan Lin Zhengkun Li Ruikun Li Xuliang Li Junbin Gao MedIm DiffM 214 111 0 01 May 2023
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression Guohao Shen Yuling Jiao Yuanyuan Lin Jian Huang 290 5 0 01 May 2023
Energy-Based Sliced Wasserstein DistanceNeural Information Processing Systems (NeurIPS), 2023 Khai Nguyen Nhat Ho OT 3DPC 280 35 0 26 Apr 2023
A mean-field games laboratory for generative modeling Benjamin J. Zhang Markos A. Katsoulakis 493 31 0 26 Apr 2023
Two-stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems Bosong Huang Weihao Yu Ruzhong Xie Jing Xiao Jin Huang DiffM 143 9 0 18 Apr 2023
Reflected Diffusion ModelsInternational Conference on Machine Learning (ICML), 2023 Aaron Lou Stefano Ermon 264 75 0 10 Apr 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models Weijian Luo DiffM MedIm 286 48 0 09 Apr 2023
Anomaly Detection via Gumbel Noise Score Matching Ahsan Mahmood Junier Oliva Martin Styner 173 2 0 06 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material Mengchun Zhang Maryam Qamar Taegoo Kang Yuna Jung Chenshuang Zhang Sung-Ho Bae Chaoning Zhang DiffM MedIm 179 58 0 04 Apr 2023
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era Chaoning Zhang Chenshuang Zhang Chenghao Li Yu Qiao Sheng Zheng ... Sung-Ho Bae Lik-Hang Lee Pan Hui In So Kweon Choong Seon Hong LM&MA AI4MH LRM ELM 184 150 0 04 Apr 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? Chaoning Zhang Chenshuang Zhang Sheng Zheng Yu Qiao Chenghao Li ... Lik-Hang Lee Yang Yang Heng Tao Shen In So Kweon Choong Seon Hong 279 193 0 21 Mar 2023
Generalized Score MatchingJournal of Multivariate Analysis (J. Multivar. Anal.), 2023 Jiazhen Xu J. Scealy A. Wood Tao Zou 164 2 0 15 Mar 2023
MeshDiffusion: Score-based Generative 3D Mesh ModelingInternational Conference on Learning Representations (ICLR), 2023 Zhen Liu Yao Feng Michael J. Black Derek Nowrouzezahrai Liam Paull Wei-yu Liu DiffM 255 206 0 14 Mar 2023
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions L. Bogensperger Dominik Narnhofer Filip Ilic Thomas Pock DiffM MedIm 240 9 0 10 Mar 2023
A Complete Recipe for Diffusion Generative ModelsIEEE International Conference on Computer Vision (ICCV), 2023 Kushagra Pandey Stephan Mandt DiffM 174 11 0 03 Mar 2023
Consistency ModelsInternational Conference on Machine Learning (ICML), 2023 Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 440 1,399 0 02 Mar 2023
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023 Jamie M. Wynn Daniyar Turmukhambetov DiffM AI4CE 273 140 0 23 Feb 2023
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance Yifan Chen Daniel Zhengyu Huang Jiaoyang Huang Sebastian Reich Andrew M. Stuart 643 22 0 21 Feb 2023
Scalable Infomin LearningNeural Information Processing Systems (NeurIPS), 2023 Yanzhi Chen Wei-Der Sun Yingzhen Li Adrian Weller 229 9 0 21 Feb 2023
On Calibrating Diffusion Probabilistic ModelsNeural Information Processing Systems (NeurIPS), 2023 Tianyu Pang Cheng Lu Chao Du Min Lin Shuicheng Yan Zhijie Deng DiffM 214 3 0 21 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate DiffusionsInternational Conference on Learning Representations (ICLR), 2023 Raghav Singhal Mark Goldstein Rajesh Ranganath DiffM 236 26 0 14 Feb 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional DataInternational Conference on Machine Learning (ICML), 2023 Minshuo Chen Kaixuan Huang Tuo Zhao Mengdi Wang DiffM 130 142 0 14 Feb 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk ControlInternational Conference on Machine Learning (ICML), 2023 Jacopo Teneggi Matthew Tivnan J. W. Stayman Jeremias Sulam DiffM 369 41 0 07 Feb 2023
Flow Matching on General GeometriesInternational Conference on Learning Representations (ICLR), 2023 Ricky T. Q. Chen Y. Lipman AI4CE 382 141 0 07 Feb 2023
Master's Thesis: Out-of-distribution Detection with Energy-based Models Sven Elflein OODD 143 2 0 28 Jan 2023
Solving Inverse Physics Problems with Score MatchingNeural Information Processing Systems (NeurIPS), 2023 Benjamin Holzschuh S. Vegetti Nils Thuerey DiffM 174 14 0 24 Jan 2023
Score-based Causal Representation Learning with Interventions Burak Varici Emre Acartürk Karthikeyan Shanmugam Abhishek Kumar A. Tajer CML 337 47 0 19 Jan 2023
GFPose: Learning 3D Human Pose Prior with Gradient FieldsComputer Vision and Pattern Recognition (CVPR), 2022 Hai Ci Min-Yu Wu Wenjie Zhu Xiaoxuan Ma Hao Dong Fangwei Zhong Yizhou Wang 3DH 207 75 0 16 Dec 2022
Generalizing and Improving Jacobian and Hessian Regularization Chenwei Cui Zehao Yan Guangsheng Liu Liangfu Lu AAML 177 1 0 01 Dec 2022
Diffusion Probabilistic Model Made SlimComputer Vision and Pattern Recognition (CVPR), 2022 Xingyi Yang Daquan Zhou Jiashi Feng Xinchao Wang DiffM 291 131 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 90 0 0 25 Nov 2022
End-to-End Stochastic Optimization with Energy-Based ModelNeural Information Processing Systems (NeurIPS), 2022 Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 98 22 0 25 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey Amirhossein Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz Ilker Hacihaliloglu Dorit Merhof DiffM MedIm 458 550 0 14 Nov 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness AssumptionsInternational Conference on Machine Learning (ICML), 2022 Hongrui Chen Holden Lee Jianfeng Lu DiffM 195 179 0 03 Nov 2022
Self-Adapting Noise-Contrastive Estimation for Energy-Based Models Na Xu 110 2 0 03 Nov 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 407 125 0 02 Nov 2022
Concrete Score Matching: Generalized Score Matching for Discrete DataNeural Information Processing Systems (NeurIPS), 2022 Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 507 106 0 02 Nov 2022
Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference Pierre Glaser Michael Arbel Samo Hromadka Arnaud Doucet Arthur Gretton 303 4 0 26 Oct 2022
On the failure of variational score matching for VAE models W. K. Li DRL 162 2 0 24 Oct 2022