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Sliced Score Matching: A Scalable Approach to Density and Score
  Estimation
v1v2 (latest)

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

Conference on Uncertainty in Artificial Intelligence (UAI), 2019
17 May 2019
Yang Song
Sahaj Garg
Jiaxin Shi
Stefano Ermon
ArXiv (abs)PDFHTML

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

50 / 333 papers shown
TSGM: Regular and Irregular Time-series Generation using Score-based Generative Models
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Haksoo Lim
Jaehoon Lee
Sewon Park
Minjung Kim
Noseong Park
DiffM
202
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0
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SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation
Zhenyuan Qin
Xincheng Shuai
Henghui Ding
DiffM
188
1
0
20 Nov 2025
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
Randall Balestriero
Yann LeCun
418
4
0
11 Nov 2025
Likely Interpolants of Generative Models
Likely Interpolants of Generative Models
Frederik Möbius Rygaard
Shen Zhu
Yinzhu Jin
Søren Hauberg
Tom Fletcher
180
0
0
30 Oct 2025
Score-based constrained generative modeling via Langevin diffusions with boundary conditions
Score-based constrained generative modeling via Langevin diffusions with boundary conditions
Adam Nordenhög
Akash Sharma
DiffM
148
0
0
28 Oct 2025
Fisher meets Feynman: score-based variational inference with a product of experts
Fisher meets Feynman: score-based variational inference with a product of experts
Diana Cai
Robert Mansel Gower
David M. Blei
Lawrence K. Saul
146
0
0
24 Oct 2025
Matricial Free Energy as a Gaussianizing Regularizer: Enhancing Autoencoders for Gaussian Code Generation
Matricial Free Energy as a Gaussianizing Regularizer: Enhancing Autoencoders for Gaussian Code Generation
Rishi Sonthalia
Raj Rao Nadakuditi
100
0
0
20 Oct 2025
MCMC: Bridging Rendering, Optimization and Generative AI
MCMC: Bridging Rendering, Optimization and Generative AI
Gurprit Singh
Wenzel Jakob
BDL
292
0
0
10 Oct 2025
Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation
Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation
Zhiyang Zhang
Ningcong Chen
Xin Zhang
Yanhua Li
Shen Su
Hui Lu
Jun Luo
103
0
0
07 Oct 2025
Fine-Tuning Diffusion Models via Intermediate Distribution Shaping
Fine-Tuning Diffusion Models via Intermediate Distribution Shaping
Gautham Govind Anil
Shaan Ul Haque
Nithish Kannen
Dheeraj M. Nagaraj
Sanjay Shakkottai
Karthikeyan Shanmugam
124
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03 Oct 2025
Dale meets Langevin: A Multiplicative Denoising Diffusion Model
Dale meets Langevin: A Multiplicative Denoising Diffusion Model
Nishanth Shetty
Madhava Prasath
C. Seelamantula
DiffM
193
0
0
03 Oct 2025
UniTac2Pose: A Unified Approach Learned in Simulation for Category-level Visuotactile In-hand Pose Estimation
UniTac2Pose: A Unified Approach Learned in Simulation for Category-level Visuotactile In-hand Pose Estimation
Mingdong Wu
Long Yang
Jin Liu
Weiyao Huang
Lehong Wu
Zelin Chen
Daolin Ma
Hao Dong
DiffM
132
0
0
19 Sep 2025
Data-Dependent Smoothing for Protein Discovery with Walk-Jump Sampling
Data-Dependent Smoothing for Protein Discovery with Walk-Jump Sampling
Srinivas Anumasa
Barath Chandran.C
Tingting Chen
Dianbo Liu
DiffM
69
0
0
02 Sep 2025
Probability Density from Latent Diffusion Models for Out-of-Distribution Detection
Probability Density from Latent Diffusion Models for Out-of-Distribution Detection
Joonas Järve
Karl Kaspar Haavel
Meelis Kull
156
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0
21 Aug 2025
ETA: Energy-based Test-time Adaptation for Depth Completion
ETA: Energy-based Test-time Adaptation for Depth Completion
Younjoon Chung
Hyoungseob Park
Patrick Rim
Xiaoran Zhang
Jihe He
Ziyao Zeng
Safa Cicek
Byung-Woo Hong
James S. Duncan
Alex Wong
TTA
351
2
0
08 Aug 2025
Likelihood Matching for Diffusion Models
Likelihood Matching for Diffusion Models
Lei Qian
Wu Su
Yanqi Huang
Song Xi Chen
DiffM
134
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0
05 Aug 2025
Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation
Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation
Runze Zhao
Yue Yu
Ruhan Wang
Chunfeng Huang
Dongruo Zhou
154
0
0
04 Aug 2025
Why Heuristic Weighting Works: A Theoretical Analysis of Denoising Score Matching
Why Heuristic Weighting Works: A Theoretical Analysis of Denoising Score Matching
Juyan Zhang
Rhys Newbury
Xinyang Zhang
T. Tran
Dana Kulic
Michael G. Burke
DiffM
111
0
0
03 Aug 2025
Flow Matching for Probabilistic Learning of Dynamical Systems from Missing or Noisy Data
Flow Matching for Probabilistic Learning of Dynamical Systems from Missing or Noisy Data
Siddharth Rout
Eldad Haber
Stéphane Gaudreault
AI4CE
112
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0
01 Aug 2025
On Reconstructing Training Data From Bayesian Posteriors and Trained Models
On Reconstructing Training Data From Bayesian Posteriors and Trained Models
George Wynne
AAML
122
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24 Jul 2025
A Comprehensive Review of Diffusion Models in Smart Agriculture: Progress, Applications, and Challenges
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Xing Hua
Haodong Chen
Qianqian Duan
Danfeng Hong
Ruijiao Li
Huiliang Shang
MedIm
425
2
0
24 Jul 2025
Beyond Scores: Proximal Diffusion Models
Beyond Scores: Proximal Diffusion Models
Zhenghan Fang
Mateo Díaz
Sam Buchanan
Jeremias Sulam
DiffM
140
2
0
11 Jul 2025
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
Qingyuan Cai
Xuecai Hu
Saihui Hou
Li Yao
Yongzhen Huang
DiffM
262
24
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01 Jul 2025
Diffusion-Based Hypothesis Testing and Change-Point Detection
Diffusion-Based Hypothesis Testing and Change-Point Detection
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142
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Geometric Regularity in Deterministic Sampling Dynamics of Diffusion-based Generative Models
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Siwei Lyu
DiffM
327
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NnD: Diffusion-based Generation of Physically-Nonnegative Objects
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Nadav Torem
Tamar Sde-Chen
Y. Schechner
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234
1
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11 Jun 2025
Jarzynski Reweighting and Sampling Dynamics for Training Energy-Based Models: Theoretical Analysis of Different Transition Kernels
Jarzynski Reweighting and Sampling Dynamics for Training Energy-Based Models: Theoretical Analysis of Different Transition KernelsBollettino dell'Unione Matematica Italiana (Boll. Un. Mat. Ital.), 2025
Davide Carbone
DiffM
169
1
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Direct Fisher Score Estimation for Likelihood Maximization
Direct Fisher Score Estimation for Likelihood Maximization
Sherman Khoo
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Song Liu
Mark Beaumont
145
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Learning normalized image densities via dual score matching
Learning normalized image densities via dual score matching
Florentin Guth
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Eero P. Simoncelli
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IGSM: Improved Geometric and Sensitivity Matching for Finetuning Pruned Diffusion Models
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234
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Score Matching With Missing Data
Score Matching With Missing Data
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Song Liu
Henry W. J. Reeve
234
2
0
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Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction
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Éric Savin
F. Gatti
Didier Clouteau
DiffMAI4CE
220
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Score-based Generative Modeling for Conditional Independence Testing
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Yewei Xia
Li Ke
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Hui Xue
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Jihong Guan
S. Kevin Zhou
177
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Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage
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Kaiyuan Cui
Weichen Zhao
Yongtao Guan
Tianshu Yu
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Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
Louis Bethune
David Vigouroux
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Rufin VanRullen
Thomas Serre
Victor Boutin
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FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems
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