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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 / 512 papers shown

Title
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Sheng-Yen Chou Pin-Yu Chen Tsung-Yi Ho DiffM 328 67 0 12 Jun 2023
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Yule Wang Zijing Wu Chengrui Li Anqi Wu DiffM 280 14 0 09 Jun 2023
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning Shuxin Zheng Jiyan He Yu Xie Yu Shi Claudio Zeni ... Peiran Jin Chi Chen Frank Noé Haiguang Liu Tie-Yan Liu AI4CE 135 43 0 08 Jun 2023
Multi-modal Latent DiffusionEntropy (Entropy), 2023 Mustapha Bounoua Giulio Franzese Pietro Michiardi DiffM 187 15 0 07 Jun 2023
On the Design Fundamentals of Diffusion Models: A SurveyPattern Recognition (Pattern Recogn.), 2023 Ziyi Chang George Alex Koulieris Hyung Jin Chang Hubert P. H. Shum DiffM 469 76 0 07 Jun 2023
High-dimensional and Permutation Invariant Anomaly DetectionSciPost Physics (SciPost Phys.), 2023 Vinicius Mikuni Benjamin Nachman DiffM 321 22 0 06 Jun 2023
Variational Gaussian Process Diffusion ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Prakhar Verma Vincent Adam Arno Solin DiffM 269 9 0 03 Jun 2023
Addressing Negative Transfer in Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 455 31 0 01 Jun 2023
Efficient Diffusion Policies for Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 Bingyi Kang Xiao Ma Chao Du Tianyu Pang Shuicheng Yan OffRL 284 112 0 31 May 2023
F?D: On understanding the role of deep feature spaces on face generation evaluation Krish Kabra Guha Balakrishnan EGVM CVBM 251 1 0 31 May 2023
A Geometric Perspective on Diffusion Models Defang Chen Zhenyu Zhou Jianhan Mei Chunhua Shen Chun-Yen Chen C. Wang DiffM 177 21 0 31 May 2023
Efficient Training of Energy-Based Models Using Jarzynski EqualityNeural Information Processing Systems (NeurIPS), 2023 D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 240 13 0 30 May 2023
Flow Matching for Scalable Simulation-Based InferenceNeural Information Processing Systems (NeurIPS), 2023 Maximilian Dax J. Wildberger Simon Buchholz Stephen R. Green Jakob H. Macke Bernhard Schölkopf 142 92 0 26 May 2023
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Ying Fan Olivia Watkins Yuqing Du Hao Liu Moonkyung Ryu Craig Boutilier Pieter Abbeel Mohammad Ghavamzadeh Kangwook Lee Kimin Lee 285 265 0 25 May 2023
Trans-Dimensional Generative Modeling via Jump Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Andrew Campbell William Harvey Christian D. Weilbach Valentin De Bortoli Tom Rainforth Arnaud Doucet DiffM 194 23 0 25 May 2023
On the Generalization of Diffusion Model Mingyang Yi Jiacheng Sun Zhenguo Li 170 27 0 24 May 2023
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction Francesco Pedrotti J. Maas Marco Mondelli DiffM 252 19 0 23 May 2023
DiffUCD:Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model Xiangrong Zhang Shunli Tian Guanchun Wang Huiyu Zhou Licheng Jiao DiffM 146 10 0 21 May 2023
The probability flow ODE is provably fastNeural Information Processing Systems (NeurIPS), 2023 Sitan Chen Sinho Chewi Holden Lee Yuanzhi Li Jianfeng Lu Adil Salim DiffM 243 127 0 19 May 2023
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion Chao-Hong Tan Jia-Chen Gu Zhen-Hua Ling DiffM 152 1 0 19 May 2023
Blackout Diffusion: Generative Diffusion Models in Discrete-State SpacesInternational Conference on Machine Learning (ICML), 2023 Javier E. Santos Z. Fox Nicholas Lubbers Yen Ting Lin DiffM 188 22 0 18 May 2023
Dirichlet Diffusion Score Model for Biological Sequence GenerationInternational Conference on Machine Learning (ICML), 2023 P. Avdeyev Chenlai Shi Y.M. Tan Kseniia Dudnyk Jian Zhou DiffM 240 70 0 18 May 2023
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 449 5 0 17 May 2023
To smooth a cloud or to pin it down: Guarantees and Insights on Score Matching in Denoising Diffusion Models Francisco Vargas Teodora Reu A. Kerekes Michael M Bronstein DiffM 282 1 0 16 May 2023
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series ImputationInternational Conference on Machine Learning (ICML), 2023 Yu Chen Wei Deng Shikai Fang Fengpei Li Ni Yang Yikai Zhang Kashif Rasul Shandian Zhe Anderson Schneider Yuriy Nevmyvaka OT AI4TS 198 31 0 12 May 2023
LatentPINNs: Generative physics-informed neural networks via a latent representation learningArtificial Intelligence in Geosciences (AI in Geosciences), 2023 M. H. Taufik T. Alkhalifah AI4CE DiffM 143 10 0 11 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 359 29 0 08 May 2023
A Variational Perspective on Solving Inverse Problems with Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023 Morteza Mardani Jiaming Song Jan Kautz Arash Vahdat DiffM 247 196 0 07 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEsInternational Conference on Machine Learning (ICML), 2023 Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 246 50 0 06 May 2023
Unpaired Downscaling of Fluid Flows with Diffusion BridgesArtificial Intelligence for the Earth Systems (AI4ES), 2023 Tobias Bischoff Katherine Deck 236 20 0 02 May 2023
Multisample Flow Matching: Straightening Flows with Minibatch CouplingsInternational Conference on Machine Learning (ICML), 2023 Aram-Alexandre Pooladian Heli Ben-Hamu Carles Domingo-Enrich Brandon Amos Y. Lipman Ricky T. Q. Chen 272 200 0 28 Apr 2023
A mean-field games laboratory for generative modeling Benjamin J. Zhang Markos A. Katsoulakis 441 32 0 26 Apr 2023
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated ImagesNeural Information Processing Systems (NeurIPS), 2023 Zeyu Lu Di Huang Mengwei He Jingjing Qu Chengzhi Wu Xihui Liu Wanli Ouyang 209 90 0 25 Apr 2023
Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb DiffM 114 2 0 24 Apr 2023
Score-Based Diffusion Models as Principled Priors for Inverse ImagingIEEE International Conference on Computer Vision (ICCV), 2023 Berthy Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine Bouman William T. Freeman DiffM 269 127 0 23 Apr 2023
On Accelerating Diffusion-Based Sampling Process via Improved Integration ApproximationInternational Conference on Learning Representations (ICLR), 2023 Guoqiang Zhang Niwa Kenta W. Kleijn DiffM 178 9 0 22 Apr 2023
Lookahead Diffusion Probabilistic Models for Refining Mean EstimationComputer Vision and Pattern Recognition (CVPR), 2023 Guoqiang Zhang Niwa Kenta W. Kleijn DiffM 129 12 0 22 Apr 2023
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelComputer Vision and Pattern Recognition (CVPR), 2023 Minchul Kim Feng Liu Anil Jain Xiaoming Liu DiffM 209 155 0 14 Apr 2023
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment Hanze Dong Wei Xiong Deepanshu Goyal Yihan Zhang Winnie Chow Boyao Wang Shizhe Diao Jipeng Zhang Kashun Shum Tong Zhang ALM 338 620 0 13 Apr 2023
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and ReconstructionIEEE International Conference on Computer Vision (ICCV), 2023 Hansheng Chen Jiatao Gu Anpei Chen Wei Tian Zhuowen Tu Lingjie Liu Haoran Su VGen DiffM 281 188 0 13 Apr 2023
Reflected Diffusion ModelsInternational Conference on Machine Learning (ICML), 2023 Aaron Lou Stefano Ermon 264 73 0 10 Apr 2023
3D GANs and Latent Space: A comprehensive survey S. Tata Subhankar Mishra 206 3 0 08 Apr 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 229 10 0 28 Mar 2023
MDTv2: Masked Diffusion Transformer is a Strong Image SynthesizerIEEE International Conference on Computer Vision (ICCV), 2023 Shanghua Gao Pan Zhou Mingg-Ming Cheng Shuicheng Yan DiffM 746 235 0 25 Mar 2023
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceIEEE International Conference on Computer Vision (ICCV), 2023 Bram Wallace Akash Gokul Stefano Ermon Nikhil Naik 379 102 0 23 Mar 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 887 526 0 15 Mar 2023
Generalised Scale-Space Properties for Probabilistic Diffusion ModelsScale Space and Variational Methods in Computer Vision (SSVM), 2023 Pascal Peter DiffM 156 1 0 14 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at ScaleInternational Conference on Machine Learning (ICML), 2023 Fan Bao Shen Nie Kaiwen Xue Chongxuan Li Shiliang Pu Yaole Wang Gang Yue Yue Cao Hang Su Jun Zhu DiffM 473 177 0 12 Mar 2023
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation Paul Hagemann Sophie Mildenberger Lars Ruthotto Gabriele Steidl Ni Yang DiffM 370 32 0 08 Mar 2023
Deep Momentum Multi-Marginal Schrödinger Bridge T. Chen Guan-Horng Liu Molei Tao Evangelos A. Theodorou 267 20 0 03 Mar 2023