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
MissDiff: Training Diffusion Models on Tabular Data with Missing Values Yidong Ouyang Liyan Xie Chongxuan Li Guang Cheng DiffM 21 22 0 02 Jul 2023
GenPose: Generative Category-level Object Pose Estimation via Diffusion Models Jiyao Zhang Min-Yu Wu Hao Dong DiffM 43 35 0 18 Jun 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 34 57 0 15 Jun 2023
Learning Unnormalized Statistical Models via Compositional Optimization Wei Jiang Jiayu Qin Lingyu Wu Changyou Chen Tianbao Yang Lijun Zhang 28 3 0 13 Jun 2023
Entropy-based Training Methods for Scalable Neural Implicit Sampler Weijian Luo Boya Zhang Zhihua Zhang 26 10 0 08 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 29 53 0 07 Jun 2023
ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function Jinyoung Kim Soonwoo Kwon Hyojun Go Yunsung Lee Seungtaek Choi Hyun-Gyoon Kim 27 1 0 07 Jun 2023
A Comprehensive Survey on Generative Diffusion Models for Structured Data Heejoon Koo To Eun Kim DiffM MedIm 33 7 0 07 Jun 2023
Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching Etrit Haxholli Marco Lorenzi DiffM 12 2 0 05 Jun 2023
Machine Learning Force Fields with Data Cost Aware Training Alexander Bukharin Tianyi Liu Sheng Wang Simiao Zuo Weihao Gao Wen Yan Tuo Zhao AI4CE 23 0 0 05 Jun 2023
GANs Settle Scores! Siddarth Asokan Nishanth Shetty Aadithya Srikanth C. Seelamantula 32 0 0 02 Jun 2023
On the Effectiveness of Hybrid Mutual Information Estimation Marco Federici David Ruhe Patrick Forré 11 5 0 01 Jun 2023
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 11 10 0 01 Jun 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 16 4 0 30 May 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models Jean-Yves Franceschi Mike Gartrell Ludovic Dos Santos Thibaut Issenhuth Emmanuel de Bezenac Mickaël Chen A. Rakotomamonjy DiffM 18 20 0 25 May 2023
Minimizing $f$ -Divergences by Interpolating Velocity Fields Song Liu Jiahao Yu J. Simons Mingxuan Yi Mark Beaumont 20 2 0 24 May 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives Chen-Hao Chao Wei-Fang Sun Yen-Chang Hsu Z. Kira Chun-Yi Lee 25 2 0 24 May 2023
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction Francesco Pedrotti J. Maas Marco Mondelli DiffM 37 14 0 23 May 2023
Moment Matching Denoising Gibbs Sampling Mingtian Zhang Alex Hawkins-Hooker Brooks Paige David Barber DiffM 24 3 0 19 May 2023
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks Yujia Zheng Ignavier Ng Yewen Fan Kun Zhang 11 4 0 19 May 2023
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable Hyeok Kyu Kwon Minwoo Chae DRL 21 3 0 11 May 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa G. E. Suh 11 8 0 06 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 29 26 0 06 May 2023
Diffusion Models for Time Series Applications: A Survey Lequan Lin Zhengkun Li Ruikun Li Xuliang Li Junbin Gao MedIm DiffM 28 64 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 48 3 0 01 May 2023
Energy-Based Sliced Wasserstein Distance Khai Nguyen Nhat Ho 23 21 0 26 Apr 2023
A mean-field games laboratory for generative modeling Benjamin J. Zhang M. Katsoulakis 22 17 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 12 2 0 18 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 24 49 0 10 Apr 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models Weijian Luo DiffM MedIm 52 33 0 09 Apr 2023
Anomaly Detection via Gumbel Noise Score Matching Ahsan Mahmood Junier Oliva Martin Styner 16 1 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 31 44 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 31 130 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 79 159 0 21 Mar 2023
Generalized Score Matching Jiazhen Xu J. Scealy A. Wood Tao Zou 17 0 0 15 Mar 2023
MeshDiffusion: Score-based Generative 3D Mesh Modeling Zhen Liu Yao Feng Michael J. Black Derek Nowrouzezahrai Liam Paull Wei-yu Liu DiffM 23 151 0 14 Mar 2023
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions L. Bogensperger Dominik Narnhofer Filip Ilic T. Pock DiffM MedIm 19 8 0 10 Mar 2023
A Complete Recipe for Diffusion Generative Models Kushagra Pandey Stephan Mandt DiffM 41 8 0 03 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 20 863 0 02 Mar 2023
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models Jamie M. Wynn Daniyar Turmukhambetov DiffM AI4CE 15 110 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 11 17 0 21 Feb 2023
Scalable Infomin Learning Yanzhi Chen Wei-Der Sun Yingzhen Li Adrian Weller 72 8 0 21 Feb 2023
On Calibrating Diffusion Probabilistic Models Tianyu Pang Cheng Lu Chao Du Min-Bin Lin Shuicheng Yan Zhijie Deng DiffM 27 2 0 21 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions Raghav Singhal Mark Goldstein Rajesh Ranganath DiffM 22 21 0 14 Feb 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data Minshuo Chen Kaixuan Huang Tuo Zhao Mengdi Wang DiffM 15 90 0 14 Feb 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Jacopo Teneggi Matthew Tivnan J. W. Stayman Jeremias Sulam DiffM 30 28 0 07 Feb 2023
Flow Matching on General Geometries Ricky T. Q. Chen Y. Lipman AI4CE 16 66 0 07 Feb 2023
Solving Inverse Physics Problems with Score Matching Benjamin Holzschuh S. Vegetti Nils Thuerey DiffM 11 9 0 24 Jan 2023
Score-based Causal Representation Learning with Interventions Burak Varici Emre Acartürk Karthikeyan Shanmugam Abhishek Kumar A. Tajer CML 33 38 0 19 Jan 2023
GFPose: Learning 3D Human Pose Prior with Gradient Fields Hai Ci Min-Yu Wu Wenjie Zhu Xiaoxuan Ma Hao Dong Fangwei Zhong Yizhou Wang 3DH 13 61 0 16 Dec 2022