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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
Purify++: Improving Diffusion-Purification with Advanced Diffusion
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Boya Zhang
Weijian Luo
Zhihua Zhang
214
16
0
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DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial
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Mintong Kang
Basel Alomair
Yue Liu
324
48
0
27 Oct 2023
Sample Complexity Bounds for Score-Matching: Causal Discovery and
  Generative Modeling
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative ModelingNeural Information Processing Systems (NeurIPS), 2023
Zhenyu Zhu
Francesco Locatello
Volkan Cevher
239
16
0
27 Oct 2023
Generative Fractional Diffusion Models
Generative Fractional Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Gabriel Nobis
Maximilian Springenberg
Marco Aversa
Michael Detzel
Rembert Daems
...
Tolga Birdal
Manfred Opper
Christoph Knochenhauer
Luis Oala
Wojciech Samek
DiffM
318
7
0
26 Oct 2023
Hierarchical Semi-Implicit Variational Inference with Application to
  Diffusion Model Acceleration
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model AccelerationNeural Information Processing Systems (NeurIPS), 2023
Longlin Yu
Tianyu Xie
Yu Zhu
Tong Yang
Xiangyu Zhang
Cheng Zhang
DiffM
206
13
0
26 Oct 2023
Discrete Diffusion Modeling by Estimating the Ratios of the Data
  Distribution
Discrete Diffusion Modeling by Estimating the Ratios of the Data DistributionInternational Conference on Machine Learning (ICML), 2023
Aaron Lou
Chenlin Meng
Stefano Ermon
DiffM
432
297
0
25 Oct 2023
Particle-based Variational Inference with Generalized Wasserstein
  Gradient Flow
Particle-based Variational Inference with Generalized Wasserstein Gradient FlowNeural Information Processing Systems (NeurIPS), 2023
Ziheng Cheng
Shiyue Zhang
Longlin Yu
Cheng Zhang
BDL
210
12
0
25 Oct 2023
SMURF-THP: Score Matching-based UnceRtainty quantiFication for
  Transformer Hawkes Process
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes ProcessInternational Conference on Machine Learning (ICML), 2023
Zichong Li
Yanbo Xu
Simiao Zuo
Hao Jiang
Chao Zhang
Tuo Zhao
H. Zha
153
6
0
25 Oct 2023
Good Better Best: Self-Motivated Imitation Learning for noisy
  Demonstrations
Good Better Best: Self-Motivated Imitation Learning for noisy Demonstrations
Ye Yuan
Xin Li
Yong Heng
Leiji Zhang
Mingzhong Wang
DiffM
266
3
0
24 Oct 2023
General Identifiability and Achievability for Causal Representation
  Learning
General Identifiability and Achievability for Causal Representation LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Burak Varici
Emre Acartürk
Karthikeyan Shanmugam
A. Tajer
CML
352
26
0
24 Oct 2023
Diffusion-Model-Assisted Supervised Learning of Generative Models for
  Density Estimation
Diffusion-Model-Assisted Supervised Learning of Generative Models for Density EstimationJournal of Machine Learning for Modeling and Computing (JMLMC), 2023
Yanfang Liu
Minglei Yang
Zezhong Zhang
Feng Bao
Yanzhao Cao
Guannan Zhang
174
21
0
22 Oct 2023
Improved Techniques for Training Consistency Models
Improved Techniques for Training Consistency ModelsInternational Conference on Learning Representations (ICLR), 2023
Yang Song
Prafulla Dhariwal
308
298
0
22 Oct 2023
Exponential weight averaging as damped harmonic motion
Exponential weight averaging as damped harmonic motion
J. Patsenker
Henry Li
Y. Kluger
179
0
0
20 Oct 2023
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning
  Energy-Based Models
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models
Belhal Karimi
Jianwen Xie
Ping Li
DiffM
265
0
0
19 Oct 2023
Denevil: Towards Deciphering and Navigating the Ethical Values of Large
  Language Models via Instruction Learning
Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction LearningInternational Conference on Learning Representations (ICLR), 2023
Shitong Duan
Xiaoyuan Yi
Peng Zhang
Tun Lu
Xing Xie
Ning Gu
230
23
0
17 Oct 2023
Sampling via Gradient Flows in the Space of Probability Measures
Sampling via Gradient Flows in the Space of Probability Measures
Yifan Chen
Daniel Zhengyu Huang
Jiaoyang Huang
Sebastian Reich
Andrew M. Stuart
368
19
0
05 Oct 2023
Stochastic force inference via density estimation
Stochastic force inference via density estimation
Victor Chardès
Suryanarayana Maddu
Michael J. Shelley
DiffM
148
6
0
03 Oct 2023
Sampling Multimodal Distributions with the Vanilla Score: Benefits of
  Data-Based Initialization
Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based InitializationInternational Conference on Learning Representations (ICLR), 2023
Frederic Koehler
T. Vuong
DiffMSyDa
180
10
0
03 Oct 2023
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster
  Image Generation
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationComputer Vision and Pattern Recognition (CVPR), 2023
Kangfu Mei
M. Delbracio
Hossein Talebi
Zhengzhong Tu
Vishal M. Patel
P. Milanfar
VLMDiffM
277
29
0
02 Oct 2023
Mirror Diffusion Models for Constrained and Watermarked Generation
Mirror Diffusion Models for Constrained and Watermarked GenerationNeural Information Processing Systems (NeurIPS), 2023
Guan-Horng Liu
T. Chen
Evangelos A. Theodorou
Molei Tao
DiffM
256
34
0
02 Oct 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive
  Survey
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey
Yunhao Chen
Zihui Yan
Yunjie Zhu
294
5
0
30 Sep 2023
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative
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Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion Models
Benjamin Hoover
Hendrik Strobelt
Dmitry Krotov
Judy Hoffman
Z. Kira
Duen Horng Chau
DiffM
281
8
0
28 Sep 2023
Bayesian Cramér-Rao Bound Estimation with Score-Based Models
Bayesian Cramér-Rao Bound Estimation with Score-Based ModelsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Evan Scope Crafts
Xianyang Zhang
Ye Zhao
64
2
0
28 Sep 2023
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous GraspingNeural Information Processing Systems (NeurIPS), 2023
Tianhao Wu
Mingdong Wu
Jiyao Zhang
Yunchong Gan
Hao Dong
526
31
0
12 Sep 2023
Score-PA: Score-based 3D Part Assembly
Score-PA: Score-based 3D Part AssemblyBritish Machine Vision Conference (BMVC), 2023
Junfeng Cheng
Mingdong Wu
Ruiyuan Zhang
Guanqi Zhan
Chao Wu
Hao Dong
187
11
0
08 Sep 2023
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of
  Large Model
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large ModelIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Fengxiang Bie
Jianlong Wu
Zhongzhu Zhou
Adam Ghanem
Minjia Zhang
...
Pareesa Ameneh Golnari
David A. Clifton
Yuxiong He
Dacheng Tao
Shuaiwen Leon Song
EGVM
253
55
0
02 Sep 2023
Semi-Implicit Variational Inference via Score Matching
Semi-Implicit Variational Inference via Score MatchingInternational Conference on Learning Representations (ICLR), 2023
Longlin Yu
Chuxu Zhang
251
18
0
19 Aug 2023
On Estimating the Gradient of the Expected Information Gain in Bayesian
  Experimental Design
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental DesignAAAI Conference on Artificial Intelligence (AAAI), 2023
Ziqiao Ao
Jinglai Li
196
4
0
19 Aug 2023
Training Data Protection with Compositional Diffusion Models
Training Data Protection with Compositional Diffusion Models
Aditya Golatkar
Alessandro Achille
A. Swaminathan
Stefano Soatto
DiffM
215
13
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Transferable Attack for Semantic Segmentation
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Mengqi He
Jing Zhang
Zhaoyuan Yang
Mingyi He
Nick Barnes
Yuchao Dai
213
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31 Jul 2023
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level
  Stability and High-Level Behavior
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level BehaviorNeural Information Processing Systems (NeurIPS), 2023
Adam Block
Ali Jadbabaie
Daniel Pfrommer
Max Simchowitz
Russ Tedrake
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495
35
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27 Jul 2023
Sobolev Space Regularised Pre Density Models
Sobolev Space Regularised Pre Density ModelsInternational Conference on Machine Learning (ICML), 2023
Mark Kozdoba
Benny Perets
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162
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Reward-Directed Conditional Diffusion: Provable Distribution Estimation
  and Reward Improvement
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward ImprovementNeural Information Processing Systems (NeurIPS), 2023
Hui Yuan
Kaixuan Huang
Chengzhuo Ni
Minshuo Chen
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242
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Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
Energy Discrepancies: A Score-Independent Loss for Energy-Based ModelsNeural Information Processing Systems (NeurIPS), 2023
Tobias Schröder
Chinmay Pani
Jen Ning Lim
Yingzhen Li
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Enhancing Adversarial Robustness via Score-Based Optimization
Enhancing Adversarial Robustness via Score-Based OptimizationNeural Information Processing Systems (NeurIPS), 2023
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338
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Score-based Conditional Generation with Fewer Labeled Data by
  Self-calibrating Classifier Guidance
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Si-An Chen
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Training Energy-Based Models with Diffusion Contrastive Divergences
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Weijian Luo
Hao Jiang
Tianyang Hu
Jiacheng Sun
Hao Sun
Zhihua Zhang
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291
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04 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
Transport meets Variational Inference: Controlled Monte Carlo DiffusionsInternational Conference on Learning Representations (ICLR), 2023
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MissDiff: Training Diffusion Models on Tabular Data with Missing Values
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Yidong Ouyang
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GenPose: Generative Category-level Object Pose Estimation via Diffusion
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Min-Yu Wu
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312
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Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative
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Yuting Wei
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332
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0
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Learning Unnormalized Statistical Models via Compositional Optimization
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Jiayu Qin
Lingyu Wu
Changyou Chen
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Lijun Zhang
336
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0
13 Jun 2023
Entropy-based Training Methods for Scalable Neural Implicit Sampler
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Weijian Luo
Boya Zhang
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ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching
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Faster Training of Diffusion Models and Improved Density Estimation via
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