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
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models Chun-Yen Shih Li-Xuan Peng Jia-Wei Liao Ernie Chu Cheng-Fu Chou Jun-Cheng Chen AAML DiffM 39 1 0 21 Aug 2024
Music2Latent: Consistency Autoencoders for Latent Audio Compression Marco Pasini Stefan Lattner George Fazekas 24 6 0 12 Aug 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 37 6 0 12 Aug 2024
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions Tianyu Xie Frederick A. Matsen IV M. Suchard Cheng Zhang 18 1 0 09 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 42 16 0 06 Aug 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator Xinghao Dong Chuanqi Chen Jin-Long Wu DiffM AI4CE 41 5 0 06 Aug 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 35 22 0 05 Aug 2024
Inverse Problems with Diffusion Models: A MAP Estimation Perspective Sai Bharath Chandra Gutha Hossein Azizpour Ricardo Vinuesa DiffM 22 2 0 27 Jul 2024
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow Yuanzhi Zhu Xingchao Liu Qiang Liu 41 9 0 17 Jul 2024
CycleHOI: Improving Human-Object Interaction Detection with Cycle Consistency of Detection and Generation Yisen Wang Yao Teng Limin Wang DiffM 41 1 0 16 Jul 2024
Learning Distances from Data with Normalizing Flows and Score Matching Peter Sorrenson Daniel Behrend-Uriarte Christoph Schnörr Ullrich Kothe 25 2 0 12 Jul 2024
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training Yunshu Wu Yingtao Luo Xianghao Kong Evangelos E. Papalexakis Greg Ver Steeg DiffM 35 2 0 12 Jul 2024
PerlDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models Jinhua Zhang Hualian Sheng Sijia Cai Bing Deng Qiao Liang Wen Li Ying Fu Jieping Ye Shuhang Gu DiffM 32 2 0 08 Jul 2024
Provable Statistical Rates for Consistency Diffusion Models Zehao Dou Minshuo Chen Mengdi Wang Zhuoran Yang DiffM 29 3 0 23 Jun 2024
Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow Zhichao Chen Haoxuan Li Fangyikang Wang Odin Zhang Hu Xu Xiaoyu Jiang Zhihuan Song Eric H. Wang DiffM 42 1 0 22 Jun 2024
Hitchhiker's guide on Energy-Based Models: a comprehensive review on the relation with other generative models, sampling and statistical physics Davide Carbone 23 1 0 19 Jun 2024
Neural Residual Diffusion Models for Deep Scalable Vision Generation Zhiyuan Ma Liangliang Zhao Biqing Qi Bowen Zhou DiffM 56 2 0 19 Jun 2024
Variational Distillation of Diffusion Policies into Mixture of Experts Hongyi Zhou Denis Blessing Ge Li Onur Celik Xiaogang Jia Gerhard Neumann Rudolf Lioutikov DiffM 40 3 0 18 Jun 2024
Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations Zheyuan Hu Zhongqiang Zhang George Karniadakis Kenji Kawaguchi 50 0 0 17 Jun 2024
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency Maor Dikter Tsachi Blau Chaim Baskin 41 0 0 13 Jun 2024
Linear Causal Representation Learning from Unknown Multi-node Interventions Burak Varıcı Emre Acartürk Karthikeyan Shanmugam A. Tajer CML 32 1 0 09 Jun 2024
$Diffusion Models in $\textit{De Novo}$ Drug Design$ Diffusion Models in $\textit{De Novo}$ Drug Design Amira Alakhdar Barnabás Póczos Newell Washburn MedIm 36 13 0 07 Jun 2024
Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to Biomolecules Trevor Norton Debswapna Bhattacharya MedIm DiffM 45 2 0 31 May 2024
Kernel Semi-Implicit Variational Inference Ziheng Cheng Longlin Yu Tianyu Xie Shiyue Zhang Cheng Zhang 27 2 0 29 May 2024
Transfer Learning for Diffusion Models Yidong Ouyang Liyan Xie Hongyuan Zha Guang Cheng DiffM 55 2 0 27 May 2024
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu Tianrong Chen Lingkai Kong Evangelos A. Theodorou Molei Tao DiffM 35 4 0 25 May 2024
Score-based generative models are provably robust: an uncertainty quantification perspective Nikiforos Mimikos-Stamatopoulos Benjamin J. Zhang M. Katsoulakis DiffM 28 6 0 24 May 2024
Distilling Diffusion Models into Conditional GANs Minguk Kang Richard Zhang Connelly Barnes Sylvain Paris Suha Kwak Jaesik Park Eli Shechtman Jun-Yan Zhu Taesung Park 38 36 0 09 May 2024
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations Kaiwen Xue Yuhao Zhou Shen Nie Xu Min Xiaolu Zhang Jun Zhou Chongxuan Li DiffM 34 11 0 24 Apr 2024
Gradient Guidance for Diffusion Models: An Optimization Perspective Yingqing Guo Hui Yuan Yukang Yang Minshuo Chen Mengdi Wang 25 20 0 23 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 37 48 0 11 Apr 2024
Diffusion Model for Data-Driven Black-Box Optimization Zihao Li Hui Yuan Kaixuan Huang Chengzhuo Ni Yinyu Ye Minshuo Chen Mengdi Wang DiffM 32 9 0 20 Mar 2024
Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond Wenpin Tang 38 13 0 10 Mar 2024
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser Qingyuan Cai Xuecai Hu Saihui Hou Li Yao Yongzhen Huang DiffM 21 0 0 07 Mar 2024
Improving Adversarial Energy-Based Model via Diffusion Process Cong Geng Tian Han Peng-Tao Jiang Hao Zhang Jinwei Chen Søren Hauberg Bo-wen Li DiffM 25 2 0 04 Mar 2024
Generative AI in Vision: A Survey on Models, Metrics and Applications Gaurav Raut Apoorv Singh VLM MedIm 43 6 0 26 Feb 2024
Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations David Sommer Robert Gruhlke Max Kirstein Martin Eigel Claudia Schillings 22 3 0 23 Feb 2024
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities Fengyi Li Ayoub Belhadji Youssef Marzouk 22 1 0 23 Feb 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation Shahar Yadin Noam Elata T. Michaeli DiffM 35 1 0 15 Feb 2024
Optimal score estimation via empirical Bayes smoothing Andre Wibisono Yihong Wu Kaylee Yingxi Yang 54 20 0 12 Feb 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial Wenpin Tang Hanyang Zhao DiffM 44 23 0 12 Feb 2024
Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations Zheyuan Hu Zhongqiang Zhang George Karniadakis Kenji Kawaguchi 48 11 0 12 Feb 2024
Wasserstein proximal operators describe score-based generative models and resolve memorization Benjamin J. Zhang Siting Liu Wuchen Li M. Katsoulakis Stanley J. Osher DiffM 30 8 0 09 Feb 2024
Stable Autonomous Flow Matching Christopher Iliffe Sprague Arne Elofsson Hossein Azizpour 41 1 0 08 Feb 2024
SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal Denoising Yu-Tung Liu Kuan-Chen Wang Kai-Chun Liu Sheng-Yu Peng Yu Tsao DiffM MedIm 24 3 0 06 Feb 2024
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization Fangzhao Zhang Mert Pilanci DiffM 43 3 0 03 Feb 2024
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances Xuefeng Gao Lingjiong Zhu 38 20 0 31 Jan 2024
Contractive Diffusion Probabilistic Models Wenpin Tang Hanyang Zhao DiffM 41 12 0 23 Jan 2024
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning Zizhao Wang Caroline Wang Xuesu Xiao Yuke Zhu Peter Stone OffRL 26 4 0 23 Jan 2024
The Rise of Diffusion Models in Time-Series Forecasting Caspar Meijer Lydia Y. Chen DiffM AI4TS 32 8 0 05 Jan 2024