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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
Title
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data
Siddharth Rout
Eldad Haber
Stéphane Gaudreault
AI4TSAI4CE
368
1
0
15 Mar 2025
Understanding Flatness in Generative Models: Its Role and Benefits
Understanding Flatness in Generative Models: Its Role and Benefits
Taehwan Lee
Kyeongkook Seo
Jaejun Yoo
Sung Whan Yoon
DiffM
352
1
0
14 Mar 2025
On the Generalization Properties of Diffusion Models
On the Generalization Properties of Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Puheng Li
Zhong Li
Huishuai Zhang
Jiang Bian
542
58
0
13 Mar 2025
Generative modelling with jump-diffusions
Adrian Baule
DiffM
230
3
0
09 Mar 2025
Optimal Stochastic Trace Estimation in Generative Modeling
Optimal Stochastic Trace Estimation in Generative ModelingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Xinyang Liu
Hengrong Du
Wei Deng
Ruqi Zhang
AI4TS
251
0
0
26 Feb 2025
Nested Expectations with Kernel Quadrature
Nested Expectations with Kernel Quadrature
Zonghao Chen
Masha Naslidnyk
F. Briol
283
4
0
25 Feb 2025
Regularization can make diffusion models more efficient
Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
401
1
0
13 Feb 2025
Diffusion Generative Modeling on Lie Group Representations
Diffusion Generative Modeling on Lie Group Representations
Marco Bertolini
Tuan Le
Djork-Arné Clevert
DiffM
428
2
0
04 Feb 2025
Sequential Change Point Detection via Denoising Score Matching
Sequential Change Point Detection via Denoising Score Matching
Wenbin Zhou
Liyan Xie
Zhigang Peng
Shixiang Zhu
229
0
0
22 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving MapsInternational Conference on Learning Representations (ICLR), 2025
Henry Li
Ronen Basri
Y. Kluger
DiffM
435
3
0
13 Jan 2025
Score-Based Metropolis-Hastings Algorithms
Score-Based Metropolis-Hastings Algorithms
Ahmed Aloui
Ali Hasan
Juncheng Dong
Zihao Wu
Vahid Tarokh
DiffM
307
2
0
31 Dec 2024
Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
Yibo Wen
Chenwei Xu
Jerry Yao-Chieh Hu
Han Liu
Han Liu
DiffM
254
6
0
30 Dec 2024
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Yuning Han
Bingyin Zhao
Rui Chu
Feng Luo
Biplab Sikdar
Yingjie Lao
DiffMAAML
525
4
0
16 Dec 2024
Diffusion Model from Scratch
Diffusion Model from Scratch
Wang Zhen
Dong Yunyun
DiffM
280
0
0
14 Dec 2024
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
Yuanzhi Zhu
R. Wang
Shilin Lu
Junnan Li
Hanshu Yan
Lucas Beerens
SupR
449
14
0
12 Dec 2024
Non-Normal Diffusion Models
Non-Normal Diffusion Models
Henry Li
VLMDiffM
217
1
0
10 Dec 2024
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Michele De Vita
Vasileios Belagiannis
DiffM
395
3
0
29 Nov 2024
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operatorsNeural Information Processing Systems (NeurIPS), 2024
Zekun Shi
Zheyuan Hu
Min Lin
Kenji Kawaguchi
1.0K
16
0
27 Nov 2024
Denoising Fisher Training For Neural Implicit Samplers
Denoising Fisher Training For Neural Implicit Samplers
Weijian Luo
Wei Deng
204
0
0
03 Nov 2024
Supervised Score-Based Modeling by Gradient Boosting
Supervised Score-Based Modeling by Gradient BoostingAAAI Conference on Artificial Intelligence (AAAI), 2024
Changyuan Zhao
Hongyang Du
Guangyuan Liu
Dusit Niyato
DiffM
219
1
0
02 Nov 2024
Identifiability Guarantees for Causal Disentanglement from Purely
  Observational Data
Identifiability Guarantees for Causal Disentanglement from Purely Observational DataNeural Information Processing Systems (NeurIPS), 2024
Ryan Welch
Jiaqi Zhang
Caroline Uhler
CMLOOD
289
4
0
31 Oct 2024
Hamiltonian Score Matching and Generative Flows
Hamiltonian Score Matching and Generative FlowsNeural Information Processing Systems (NeurIPS), 2024
Peter Holderrieth
Yilun Xu
Tommi Jaakkola
232
3
0
27 Oct 2024
Dimension reduction via score ratio matching
Dimension reduction via score ratio matching
Ricardo Baptista
Michael C. Brennan
Youssef Marzouk
258
1
0
25 Oct 2024
Vision-Language Navigation with Energy-Based Policy
Vision-Language Navigation with Energy-Based PolicyNeural Information Processing Systems (NeurIPS), 2024
Rui Liu
Wenguan Wang
Yue Yang
209
16
0
18 Oct 2024
Training Neural Samplers with Reverse Diffusive KL Divergence
Training Neural Samplers with Reverse Diffusive KL DivergenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Wenlin Chen
Jiajun He
Mingtian Zhang
David Barber
José Miguel Hernández-Lobato
DiffM
343
15
0
16 Oct 2024
Parametric model reduction of mean-field and stochastic systems via
  higher-order action matching
Parametric model reduction of mean-field and stochastic systems via higher-order action matchingNeural Information Processing Systems (NeurIPS), 2024
Jules Berman
Tobias Blickhan
Benjamin Peherstorfer
543
4
0
15 Oct 2024
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal DiscoveryInternational Conference on Learning Representations (ICLR), 2024
Yingyu Lin
Yuxing Huang
Wenqin Liu
Haoran Deng
Ignavier Ng
Kun Zhang
Biwei Huang
Yi-An Ma
Zhen Zhang
336
3
0
08 Oct 2024
Continuous Ensemble Weather Forecasting with Diffusion models
Continuous Ensemble Weather Forecasting with Diffusion modelsInternational Conference on Learning Representations (ICLR), 2024
Martin Andrae
Tomas Landelius
Joel Oskarsson
Fredrik Lindsten
AI4Cl
351
14
0
07 Oct 2024
A Training-Free Conditional Diffusion Model for Learning Stochastic
  Dynamical Systems
A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical SystemsSIAM Journal on Scientific Computing (SISC), 2024
Yanfang Liu
Yuán Chen
Dongbin Xiu
Guannan Zhang
DiffM
274
11
0
04 Oct 2024
Bellman Diffusion: Generative Modeling as Learning a Linear Operator in
  the Distribution Space
Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space
Yangming Li
Chieh-Hsin Lai
Carola-Bibiane Schönlieb
Yuki Mitsufuji
Stefano Ermon
DiffM
178
1
0
02 Oct 2024
Equivariant score-based generative models provably learn distributions
  with symmetries efficiently
Equivariant score-based generative models provably learn distributions with symmetries efficiently
Ziyu Chen
Markos A. Katsoulakis
Benjamin J. Zhang
DiffM
183
4
0
02 Oct 2024
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEsNeural Information Processing Systems (NeurIPS), 2024
Qinpeng Cui
Yixuan Liu
Xinyi Zhang
Qiqi Bao
Zhongdao Wang
Qingmin Liao
Li Wang
Tian Lu
Emad Barsoum
167
7
0
26 Sep 2024
HJ-sampler: A Bayesian sampler for inverse problems of a stochastic
  process by leveraging Hamilton-Jacobi PDEs and score-based generative models
HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models
Tingwei Meng
Zongren Zou
Jérome Darbon
George Karniadakis
DiffM
247
3
0
15 Sep 2024
What happens to diffusion model likelihood when your model is
  conditional?
What happens to diffusion model likelihood when your model is conditional?
Mattias Cross
Anton Ragni
DiffM
289
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0
10 Sep 2024
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image
  Diffusion Models
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Rohit Jena
Ali Taghibakhshi
Sahil Jain
Gerald Shen
Nima Tajbakhsh
Arash Vahdat
392
7
0
09 Sep 2024
Reward-Directed Score-Based Diffusion Models via q-Learning
Reward-Directed Score-Based Diffusion Models via q-Learning
Ningyuan Chen
Jiale Zha
X. Zhou
DiffM
233
8
0
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Variance reduction of diffusion model's gradients with Taylor
  approximation-based control variate
Variance reduction of diffusion model's gradients with Taylor approximation-based control variate
Paul Jeha
Will Grathwohl
Michael Riis Andersen
Carl Henrik Ek
J. Frellsen
DiffM
264
5
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22 Aug 2024
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion ModelsAAAI Conference on Artificial Intelligence (AAAI), 2024
Chun-Yen Shih
Li-Xuan Peng
Jia-Wei Liao
Ernie Chu
Cheng-Fu Chou
Jun-Cheng Chen
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404
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Music2Latent: Consistency Autoencoders for Latent Audio Compression
Music2Latent: Consistency Autoencoders for Latent Audio CompressionInternational Society for Music Information Retrieval Conference (ISMIR), 2024
Marco Pasini
Stefan Lattner
George Fazekas
215
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Classifier Guidance Enhances Diffusion-based Adversarial Purification by
  Preserving Predictive Information
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Mingkun Zhang
Jianing Li
Wei Chen
Jiafeng Guo
Xueqi Cheng
257
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12 Aug 2024
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch
  Length Distributions
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions
Tianyu Xie
Frederick A. Matsen IV
M. Suchard
Cheng Zhang
145
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0
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Attacks and Defenses for Generative Diffusion Models: A Comprehensive
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Long Bao Le
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326
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Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
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Chuanqi Chen
Jin-Long Wu
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A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion
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Yuting Wei
Yuejie Chi
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Inverse Problems with Diffusion Models: A MAP Estimation Perspective
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Hossein Azizpour
Ricardo Vinuesa
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161
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SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
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CycleHOI: Improving Human-Object Interaction Detection with Cycle
  Consistency of Detection and Generation
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Yao Teng
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DiffM
299
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Your Diffusion Model is Secretly a Noise Classifier and Benefits from
  Contrastive Training
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Yunshu Wu
Yingtao Luo
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254
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Learning Distances from Data with Normalizing Flows and Score Matching
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247
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PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models
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DiffM
653
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