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
From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization Qiang Zhang Ruida Zhou Yang Shen Tie Liu OffRL 36 1 0 04 Jan 2024
Diffusion Models, Image Super-Resolution And Everything: A Survey Brian B. Moser Arundhati S. Shanbhag Federico Raue Stanislav Frolov Sebastián M. Palacio Andreas Dengel 24 35 0 01 Jan 2024
Taming Mode Collapse in Score Distillation for Text-to-3D Generation Peihao Wang Dejia Xu Zhiwen Fan Dilin Wang Sreyas Mohan ... Rakesh Ranjan Yilei Li Qiang Liu Zhangyang Wang Vikas Chandra DiffM 23 27 0 31 Dec 2023
Investigating the Design Space of Diffusion Models for Speech Enhancement Philippe Gonzalez Zheng-Hua Tan Jan Østergaard Jesper Jensen T. S. Alstrøm Tobias May DiffM 25 6 0 07 Dec 2023
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking Jiapeng Tang Angela Dai Yinyu Nie Lev Markhasin Justus Thies Matthias Niessner DiffM 34 10 0 02 Dec 2023
DeepCache: Accelerating Diffusion Models for Free Xinyin Ma Gongfan Fang Xinchao Wang 22 122 0 01 Dec 2023
Leveraging Graph Diffusion Models for Network Refinement Tasks Puja Trivedi Ryan A. Rossi David Arbour Tong Yu Franck Dernoncourt Sungchul Kim Nedim Lipka Namyong Park Nesreen K. Ahmed Danai Koutra DiffM 24 0 0 29 Nov 2023
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI Yuheng Fan Hanxi Liao Shiqi Huang Yimin Luo Huazhu Fu Haikun Qi MedIm 29 18 0 19 Nov 2023
SceneScore: Learning a Cost Function for Object Arrangement Ivan Kapelyukh Edward Johns OffRL DiffM OCL 24 4 0 14 Nov 2023
Variational Weighting for Kernel Density Ratios Sangwoong Yoon Frank C. Park Gunsu S Yun Iljung Kim Yung-Kyun Noh 12 0 0 06 Nov 2023
Diffusion Models for Reinforcement Learning: A Survey Zhengbang Zhu Hanye Zhao Haoran He Yichao Zhong Shenyu Zhang Haoquan Guo Tingting Chen Weinan Zhang 41 59 0 02 Nov 2023
Scaling Riemannian Diffusion Models Aaron Lou Minkai Xu Stefano Ermon 22 8 0 30 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 29 10 0 28 Oct 2023
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification Mintong Kang D. Song Bo-wen Li 33 22 0 27 Oct 2023
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling Zhenyu Zhu Francesco Locatello V. Cevher 40 6 0 27 Oct 2023
Generative Fractional Diffusion Models Gabriel Nobis Maximilian Springenberg Marco Aversa Michael Detzel Rembert Daems ... Tolga Birdal Manfred Opper Christoph Knochenhauer Luis Oala Wojciech Samek DiffM 24 5 0 26 Oct 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration Longlin Yu Tianyu Xie Yu Zhu Tong Yang Xiangyu Zhang Cheng Zhang DiffM 16 5 0 26 Oct 2023
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution Aaron Lou Chenlin Meng Stefano Ermon DiffM 30 64 0 25 Oct 2023
Particle-based Variational Inference with Generalized Wasserstein Gradient Flow Ziheng Cheng Shiyue Zhang Longlin Yu Cheng Zhang BDL 32 6 0 25 Oct 2023
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process Zichong Li Yanbo Xu Simiao Zuo Hao Jiang Chao Zhang Tuo Zhao H. Zha 19 3 0 25 Oct 2023
Good Better Best: Self-Motivated Imitation Learning for noisy Demonstrations Ye Yuan Xin Li Yong Heng Leiji Zhang Mingzhong Wang DiffM 11 1 0 24 Oct 2023
General Identifiability and Achievability for Causal Representation Learning Burak Varici Emre Acartürk Karthikeyan Shanmugam A. Tajer CML 35 16 0 24 Oct 2023
Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation Yanfang Liu Minglei Yang Zezhong Zhang Feng Bao Yanzhao Cao Guannan Zhang 14 15 0 22 Oct 2023
Improved Techniques for Training Consistency Models Yang Song Prafulla Dhariwal 29 147 0 22 Oct 2023
Exponential weight averaging as damped harmonic motion J. Patsenker Henry Li Y. Kluger 16 0 0 20 Oct 2023
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models Belhal Karimi Jianwen Xie Ping Li DiffM 28 0 0 19 Oct 2023
Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning Shitong Duan Xiaoyuan Yi Peng Zhang T. Lu Xing Xie Ning Gu 16 9 0 17 Oct 2023
Sampling via Gradient Flows in the Space of Probability Measures Yifan Chen Daniel Zhengyu Huang Jiaoyang Huang Sebastian Reich Andrew M. Stuart 30 13 0 05 Oct 2023
Stochastic force inference via density estimation Victor Chardès S. Maddu Michael J. Shelley DiffM 11 3 0 03 Oct 2023
Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization Frederic Koehler T. Vuong DiffM SyDa 29 3 0 03 Oct 2023
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation Kangfu Mei M. Delbracio Hossein Talebi Zhengzhong Tu Vishal M. Patel P. Milanfar VLM DiffM 56 11 0 02 Oct 2023
Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu T. Chen Evangelos A. Theodorou Molei Tao DiffM 16 21 0 02 Oct 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 29 3 0 30 Sep 2023
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 25 4 0 28 Sep 2023
Bayesian Cramér-Rao Bound Estimation with Score-Based Models Evan Scope Crafts Xianyang Zhang Ye Zhao 13 2 0 28 Sep 2023
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping Tianhao Wu Mingdong Wu Jiyao Zhang Yunchong Gan Hao Dong 36 20 0 12 Sep 2023
Score-PA: Score-based 3D Part Assembly Junfeng Cheng Mingdong Wu Ruiyuan Zhang Guanqi Zhan Chao Wu Hao Dong 26 8 0 08 Sep 2023
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model Fengxiang Bie Yibo Yang Zhongzhu Zhou Adam Ghanem Minjia Zhang ... Pareesa Ameneh Golnari David A. Clifton Yuxiong He Dacheng Tao S. Song EGVM 25 18 0 02 Sep 2023
Semi-Implicit Variational Inference via Score Matching Longlin Yu C. Zhang 16 10 0 19 Aug 2023
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design Ziqiao Ao Jinglai Li 22 2 0 19 Aug 2023
Training Data Protection with Compositional Diffusion Models Aditya Golatkar Alessandro Achille A. Swaminathan Stefano Soatto DiffM 19 11 0 02 Aug 2023
Transferable Attack for Semantic Segmentation Mengqi He Jing Zhang Zhaoyuan Yang Mingyi He Nick Barnes Yuchao Dai 31 2 0 31 Jul 2023
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior Adam Block Ali Jadbabaie Daniel Pfrommer Max Simchowitz Russ Tedrake DiffM 39 22 0 27 Jul 2023
Sobolev Space Regularised Pre Density Models Mark Kozdoba Benny Perets Shie Mannor 11 1 0 25 Jul 2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement Hui Yuan Kaixuan Huang Chengzhuo Ni Minshuo Chen Mengdi Wang DiffM 10 34 0 13 Jul 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models Tobias Schröder Zijing Ou Jen Ning Lim Yingzhen Li Sebastian J. Vollmer Andrew B. Duncan 22 4 0 12 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 21 12 0 10 Jul 2023
Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance Paul Kuo-Ming Huang Si-An Chen Hsuan-Tien Lin 25 0 0 09 Jul 2023
Training Energy-Based Models with Diffusion Contrastive Divergences Weijian Luo Hao Jiang Tianyang Hu Jiacheng Sun Z. Li Zhihua Zhang DiffM 17 8 0 04 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 40 3 0 03 Jul 2023