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Maximum Likelihood Training of Score-Based Diffusion Models

Neural Information Processing Systems (NeurIPS), 2021

22 January 2021

Papers citing "Maximum Likelihood Training of Score-Based Diffusion Models"

50 / 515 papers shown

Title
Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models Xinyue Ai Yutong He Albert Gu Ruslan Salakhutdinov J. Zico Kolter Nicholas Matthew Boffi Max Simchowitz 32 1 0 02 Dec 2025
A Diffusion Model Framework for Maximum Entropy Reinforcement Learning Sebastian Sanokowski Kaustubh Patil Alois Knoll DiffM 68 0 0 01 Dec 2025
CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking Hao Li Yuhao Wang X. Hu Wenning Hao P. Zhang D. Wang Huchuan Lu 104 0 0 22 Nov 2025
Diffusion Models are Molecular Dynamics Simulators Justin S. Diamond M. Lill DiffM 28 0 0 21 Nov 2025
Time dependent loss reweighting for flow matching and diffusion models is theoretically justified Lukas Billera Hedwig Nora Nordlinder Ben Murrell DiffM 113 1 0 20 Nov 2025
A Closed-Form Framework for Schrödinger Bridges Between Arbitrary Densities Hanwen Huang DiffM 168 0 0 11 Nov 2025
TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching Modeling He Panjing Cheng Mingyue Li Li Zhang XiaoHan AI4TS 159 0 0 11 Nov 2025
Enhancing Diffusion Model Guidance through Calibration and Regularization Seyed Alireza Javid Amirhossein Bagheri Nuria González-Prelcic 158 0 0 08 Nov 2025
Joint Design of Protein Surface and Structure Using a Diffusion Bridge Model Guanlue Li Xufeng Zhao Fang Wu Sören Laue DiffM 91 0 0 08 Nov 2025
Enhancing Frequency Forgery Clues for Diffusion-Generated Image Detection D. Zhang Tong Zhang Shiming Ge Sabine Süsstrunk DiffM AAML 176 0 0 01 Nov 2025
Information-Theoretic Discrete Diffusion Moongyu Jeon Sangwoo Shin Dongjae Jeon Albert No DiffM FedML 163 0 0 28 Oct 2025
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models Byeonghu Na Minsang Park Gyuwon Sim DongHyeok Shin Heesun Bae Mina Kang Se Jung Kwon Wanmo Kang Il-Chul Moon 219 1 0 28 Oct 2025
A Free Probabilistic Framework for Denoising Diffusion Models: Entropy, Transport, and Reverse Processes Swagatam Das DiffM 110 0 0 26 Oct 2025
Variational Polya Tree Lu Xu Tsai Hor Chan Kwok Fai Lam Lequan Yu Guosheng Yin BDL 145 0 0 26 Oct 2025
Distributionally Robust Optimization via Diffusion Ambiguity Modeling Jiaqi Wen Jianyi Yang 92 2 0 26 Oct 2025
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders Wenyu Mao Jiancan Wu Guoqing Hu Zhengyi Yang Wei Ji Xiang Wang DiffM 225 0 0 20 Oct 2025
Reference-Specific Unlearning Metrics Can Hide the Truth: A Reality Check Sungjun Cho Dasol Hwang Frederic Sala Sangheum Hwang Kyunghyun Cho Sungmin Cha DiffM MU 158 0 0 14 Oct 2025
Reinforced sequential Monte Carlo for amortised sampling Sanghyeok Choi Sarthak Mittal Victor Elvira Jinkyoo Park Nikolay Malkin 118 0 0 13 Oct 2025
RLFR: Extending Reinforcement Learning for LLMs with Flow Environment Jinghao Zhang Naishan Zheng Ruilin Li Dongzhou Cheng Zheming Liang Feng Zhao Jiaqi Wang 133 0 0 11 Oct 2025
Local-Global Context-Aware and Structure-Preserving Image Super-Resolution Sanchar Palit S. Chaudhuri Biplab Banerjee SupR 266 0 0 11 Oct 2025
Optimal Stopping in Latent Diffusion Models Yu-Han Wu Quentin Berthet Gérard Biau Claire Boyer Romuald Elie Pierre Marion 124 0 0 09 Oct 2025
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency Kaiwen Zheng Y. Wang Qianli Ma Huayu Chen J. Zhang Yogesh Balaji Jianfei Chen Ming-Yu Liu Jun Zhu Qinsheng Zhang DiffM 249 10 0 09 Oct 2025
EigenScore: OOD Detection using Covariance in Diffusion Models Shirin Shoushtari Yi Wang Xiao Shi M. Salman Asif Ulugbek S. Kamilov DiffM 124 0 0 08 Oct 2025
Riddled basin geometry sets fundamental limits to predictability and reproducibility in deep learning Andrew Ly Pulin Gong AI4CE 180 0 0 07 Oct 2025
RegMix: Adversarial Mutual and Generalization Regularization for Enhancing DNN Robustness Zhenyu Liu Varun Ojha AAML 249 0 0 06 Oct 2025
Learning Robust Diffusion Models from Imprecise Supervision Dong-Dong Wu Jiacheng Cui Wei Wang Zhiqiang She Masashi Sugiyama DiffM 320 0 0 03 Oct 2025
Adaptive Guided Upsampling for Low-light Image Enhancement Angela Vivian Dcosta Chunbo Song Rafael Radkowski 112 0 0 02 Oct 2025
Combining complex Langevin dynamics with score-based and energy-based diffusion models Gert Aarts Diaa E. Habibi Lingxiao Wang K. Zhou DiffM 148 1 0 01 Oct 2025
Data-to-Energy Stochastic Dynamics Kirill Tamogashev Nikolay Malkin DiffM 124 0 0 30 Sep 2025
Let Physics Guide Your Protein Flows: Topology-aware Unfolding and Generation Yogesh Verma Markus Heinonen Vikas Garg DiffM AI4CE 404 0 0 29 Sep 2025
Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models Shuchen Xue Chongjian Ge Shilong Zhang Yichen Li Zhi-Ming Ma 131 2 0 29 Sep 2025
Position-Blind Ptychography: Viability of image reconstruction via data-driven variational inference Simon Welker Lorenz Kuger Tim Roith Berthy Feng Martin Burger Timo Gerkmann H. Chapman DiffM 100 0 0 28 Sep 2025
Diffusion Models are Kelly Gamblers Akhil Premkumar DiffM 210 0 0 28 Sep 2025
From Prompt to Progression: Taming Video Diffusion Models for Seamless Attribute Transition Ling Lo Kelvin C. K. Chan Wen-Huang Cheng Ming-Hsuan Yang DiffM EGVM VGen 149 0 0 24 Sep 2025
DiffusionNFT: Online Diffusion Reinforcement with Forward Process Kaiwen Zheng Huayu Chen Haotian Ye Haoxiang Wang Qinsheng Zhang Kai Jiang Hang Su Stefano Ermon Jun Zhu Ming-Yu Liu 228 10 0 19 Sep 2025
A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions Nishant Jain Tong Zhang 232 1 0 22 Aug 2025
Learning Point Cloud Representations with Pose Continuity for Depth-Based Category-Level 6D Object Pose Estimation Zhujun Li Shuo Zhang I. Stamos 3DPC 148 1 0 20 Aug 2025
Non-asymptotic convergence bound of conditional diffusion models Mengze Li DiffM 120 0 0 13 Aug 2025
Neural Bridge Processes Jian Xu Y. Liu Qibin Zhao John Paisley Delu Zeng DiffM 1.2K 0 0 10 Aug 2025
Likelihood Matching for Diffusion Models Lei Qian Wu Su Yanqi Huang Song Xi Chen DiffM 118 0 0 05 Aug 2025
Diffusion models for inverse problems Hyungjin Chung Jeongsol Kim Jong Chul Ye MedIm 165 0 0 04 Aug 2025
Diffusion Models for Future Networks and Communications: A Comprehensive Survey Nguyen Cong Luong Nguyen Duc Hai Duc Van Le H. T. Nguyen Thai-Hoc Vu ... Nguyen Duc Duy Anh Dusit Niyato Marco Di Renzo Dong In Kim Quoc-Viet Pham 165 1 0 03 Aug 2025
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 107 0 0 03 Aug 2025
Jet Image Generation in High Energy Physics Using Diffusion Models Victor D. Martinez V. Manian Sudhir Malik DiffM 86 0 0 01 Aug 2025
An h-space Based Adversarial Attack for Protection Against Few-shot Personalization Xide Xu Sandesh Kamath Muhammad Atif Butt Bogdan Raducanu DiffM AAML 137 0 0 23 Jul 2025
Improving Joint Embedding Predictive Architecture with Diffusion Noise Yuping Qiu Rui Zhu Ying-cong Chen DiffM 171 0 0 21 Jul 2025
Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis Bo-Hua Liang He Wang 241 2 0 15 Jul 2025
Solving dynamic portfolio selection problems via score-based diffusion models Ahmad Aghapour Erhan Bayraktar Fengyi Yuan DiffM 223 2 0 14 Jul 2025
Divergence Minimization Preference Optimization for Diffusion Model Alignment Binxu Li Minkai Xu Jiaqi Han Meihua Dang Stefano Ermon EGVM 255 2 0 10 Jul 2025
Training-Free Stein Diffusion Guidance: Posterior Correction for Sampling Beyond High-Density Regions Van Khoa Nguyen Lionel Blondé Alexandros Kalousis 132 0 0 07 Jul 2025