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
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 50 0 0 02 May 2025
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees Nishant Jain Xunpeng Huang Yian Ma Tong Zhang 46 0 0 02 May 2025
Flow Matching Ergodic Coverage Max Muchen Sun Allison Pinosky Todd Murphey 30 0 0 24 Apr 2025
Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions Hoang Tran Zezhong Zhang F. Bao Dan Lu Guannan Zhang DiffM 44 0 0 20 Apr 2025
DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Tianhui Song Weixin Feng Shuai Wang X. Li Tiezheng Ge Bo Zheng Limin Wang MoMe 62 0 0 16 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 141 1 0 16 Apr 2025
Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training Lexington Whalen Zhenbang Du Haoran You Chaojian Li Sixu Li Yingyan 33 0 0 13 Apr 2025
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures Gen Li Changxiao Cai Yuting Wei DiffM 36 1 0 07 Apr 2025
Nonlinear Multiple Response Regression and Learning of Latent Spaces Ye Tian Sanyou Wu Long Feng 29 0 0 27 Mar 2025
Debiasing Kernel-Based Generative Models Tian Qin Wei-Min Huang 48 0 0 26 Mar 2025
Hiding Images in Diffusion Models by Editing Learned Score Functions Haoyu Chen Yunqiao Yang Nan Zhong Kede Ma DiffM 63 0 0 24 Mar 2025
Improving Discriminator Guidance in Diffusion Models Alexandre Verine Mehdi Inane Florian Le Bronnec Benjamin Négrevergne Y. Chevaleyre DiffM 50 0 0 20 Mar 2025
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data Siddharth Rout Eldad Haber Stéphane Gaudreault AI4TS AI4CE 60 0 0 15 Mar 2025
Understanding Flatness in Generative Models: Its Role and Benefits Taehwan Lee Kyeongkook Seo Jaejun Yoo Sung Whan Yoon DiffM 55 0 0 14 Mar 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 72 29 0 13 Mar 2025
Generative modelling with jump-diffusions Adrian Baule DiffM 50 0 0 09 Mar 2025
Optimal Stochastic Trace Estimation in Generative Modeling Xinyang Liu Hengrong Du Wei Deng Ruqi Zhang AI4TS 47 0 0 26 Feb 2025
Nested Expectations with Kernel Quadrature Zonghao Chen Masha Naslidnyk F. Briol 31 0 0 25 Feb 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 98 0 0 13 Feb 2025
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching Marco Bertolini Tuan Le Djork-Arné Clevert DiffM 81 0 0 04 Feb 2025
Sequential Change Point Detection via Denoising Score Matching Wenbin Zhou Liyan Xie Zhigang Peng Shixiang Zhu 32 0 0 22 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 54 2 0 13 Jan 2025
On the Mode-Seeking Properties of Langevin Dynamics Xiwei Cheng Kexin Fu Farzan Farnia 59 0 0 08 Jan 2025
AlignAb: Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies Yibo Wen Chenwei Xu Jerry Yao-Chieh Hu Han-Wen Liu DiffM 35 1 0 31 Dec 2024
Score-Based Metropolis-Hastings Algorithms Ahmed Aloui Ali Hasan Juncheng Dong Zihao Wu Vahid Tarokh DiffM 34 0 0 31 Dec 2024
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models Yuning Han Bingyin Zhao Rui Chu Feng Luo Biplab Sikdar Yingjie Lao DiffM AAML 72 1 0 16 Dec 2024
Diffusion Model from Scratch Wang Zhen Dong Yunyun DiffM 62 0 0 14 Dec 2024
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs Yuanzhi Zhu R. Wang Shilin Lu Junnan Li Hanshu Yan K. Zhang SupR 79 3 0 12 Dec 2024
Non-Normal Diffusion Models Henry Li VLM DiffM 108 1 0 10 Dec 2024
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation Michele De Vita Vasileios Belagiannis DiffM 91 1 0 29 Nov 2024
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators Zekun Shi Zheyuan Hu Min-Bin Lin Kenji Kawaguchi 133 4 0 27 Nov 2024
Denoising Fisher Training For Neural Implicit Samplers Weijian Luo Wei Deng 30 0 0 03 Nov 2024
Supervised Score-Based Modeling by Gradient Boosting Changyuan Zhao Hongyang Du Guangyuan Liu Dusit Niyato DiffM 41 0 0 02 Nov 2024
Identifiability Guarantees for Causal Disentanglement from Purely Observational Data Ryan Welch Jiaqi Zhang Caroline Uhler CML OOD 51 1 0 31 Oct 2024
Hamiltonian Score Matching and Generative Flows Peter Holderrieth Yilun Xu Tommi Jaakkola 26 0 0 27 Oct 2024
Dimension reduction via score ratio matching Ricardo Baptista Michael C. Brennan Youssef Marzouk 23 1 0 25 Oct 2024
Vision-Language Navigation with Energy-Based Policy Rui Liu Wenguan Wang Y. Yang 40 3 0 18 Oct 2024
Training Neural Samplers with Reverse Diffusive KL Divergence Jiajun He Wenlin Chen Mingtian Zhang David Barber José Miguel Hernández-Lobato DiffM 34 4 0 16 Oct 2024
Parametric model reduction of mean-field and stochastic systems via higher-order action matching Jules Berman Tobias Blickhan Benjamin Peherstorfer 32 0 0 15 Oct 2024
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery Yingyu Lin Yuxing Huang Wenqin Liu Haoran Deng Ignavier Ng Kun Zhang Mingming Gong Yi-An Ma Biwei Huang 33 1 0 08 Oct 2024
Continuous Ensemble Weather Forecasting with Diffusion models Martin Andrae Tomas Landelius Joel Oskarsson Fredrik Lindsten AI4Cl 35 2 0 07 Oct 2024
A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical Systems Yanfang Liu Yuán Chen Dongbin Xiu Guannan Zhang DiffM 28 4 0 04 Oct 2024
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 48 0 0 02 Oct 2024
Equivariant score-based generative models provably learn distributions with symmetries efficiently Ziyu Chen M. Katsoulakis Benjamin J. Zhang DiffM 37 2 0 02 Oct 2024
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs Qinpeng Cui Yixuan Liu Xinyi Zhang Qiqi Bao Zhongdao Wang Qingmin Liao Li Wang Tian Lu Emad Barsoum 30 4 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 Tingwei Meng Zongren Zou Jérome Darbon George Karniadakis DiffM 40 2 0 15 Sep 2024
What happens to diffusion model likelihood when your model is conditional? Mattias Cross Anton Ragni DiffM 35 0 0 10 Sep 2024
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models Rohit Jena Ali Taghibakhshi Sahil Jain Gerald Shen Nima Tajbakhsh Arash Vahdat 38 3 0 09 Sep 2024
Reward-Directed Score-Based Diffusion Models via q-Learning Xuefeng Gao Jiale Zha X. Zhou DiffM 34 2 0 07 Sep 2024
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 27 1 0 22 Aug 2024