Maximum Likelihood Training of Score-Based Diffusion Models

22 January 2021

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

50 / 427 papers shown

Title
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
Self-supervised learning with diffusion-based multichannel speech enhancement for speaker verification under noisy conditions Sandipana Dowerah Ajinkya Kulkarni Romain Serizel D. Jouvet DiffM 11 1 0 05 Jul 2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks Jingwei Zhang Han Shi Jincheng Yu Enze Xie Zhenguo Li DiffM 13 3 0 05 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
MissDiff: Training Diffusion Models on Tabular Data with Missing Values Yidong Ouyang Liyan Xie Chongxuan Li Guang Cheng DiffM 21 22 0 02 Jul 2023
Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models Simian Luo Chuanhao Yan Chenxu Hu Hang Zhao DiffM 24 79 0 29 Jun 2023
Eliminating Lipschitz Singularities in Diffusion Models Zhantao Yang Ruili Feng Han Zhang Yujun Shen Kaixuan Zhu ... Yifei Zhang Yu Liu Deli Zhao Jingren Zhou Fan Cheng 14 9 0 20 Jun 2023
GenPose: Generative Category-level Object Pose Estimation via Diffusion Models Jiyao Zhang Min-Yu Wu Hao Dong DiffM 43 35 0 18 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 109 102 0 16 Jun 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 29 57 0 15 Jun 2023
Unbalanced Diffusion Schrödinger Bridge Matteo Pariset Ya-Ping Hsieh Charlotte Bunne Andreas Krause Valentin De Bortoli DiffM OT 21 3 0 15 Jun 2023
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification Jingyi Zhou Jiamu Sheng Jiayuan Fan Peng Ye Tongdi He Bin Wang Tao Chen DiffM 11 15 0 15 Jun 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models En-hao Liu Xuefei Ning Zi-Han Lin Huazhong Yang Yu Wang 47 37 0 15 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu Songhua Liu Xingyi Yang Xinchao Wang OODD 18 18 0 14 Jun 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models Sheng-Yen Chou Pin-Yu Chen Tsung-Yi Ho DiffM 11 52 0 12 Jun 2023
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models Yule Wang Zijing Wu Chengrui Li Anqi Wu DiffM 25 11 0 09 Jun 2023
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning Shuxin Zheng Jiyan He Chang-Shu Liu Yu Shi Ziheng Lu ... Peiran Jin Chi Chen Frank Noé Haiguang Liu Tie-Yan Liu AI4CE 15 40 0 08 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 29 52 0 07 Jun 2023
Multi-modal Latent Diffusion Mustapha Bounoua Giulio Franzese Pietro Michiardi DiffM 16 13 0 07 Jun 2023
High-dimensional and Permutation Invariant Anomaly Detection Vinicius Mikuni Benjamin Nachman DiffM 19 16 0 06 Jun 2023
Variational Gaussian Process Diffusion Processes Prakhar Verma Vincent Adam Arno Solin DiffM 14 4 0 03 Jun 2023
Addressing Negative Transfer in Diffusion Models Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 16 24 0 01 Jun 2023
Efficient Diffusion Policies for Offline Reinforcement Learning Bingyi Kang Xiao Ma Chao Du Tianyu Pang Shuicheng Yan OffRL 26 62 0 31 May 2023
F?D: On understanding the role of deep feature spaces on face generation evaluation Krish Kabra Guha Balakrishnan EGVM CVBM 32 0 0 31 May 2023
A Geometric Perspective on Diffusion Models Defang Chen Zhenyu Zhou Jianhan Mei Chunhua Shen Chun-Yen Chen C. Wang DiffM 21 18 0 31 May 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 8 4 0 30 May 2023
Flow Matching for Scalable Simulation-Based Inference Maximilian Dax J. Wildberger Simon Buchholz Stephen R. Green Jakob H. Macke Bernhard Schölkopf 16 48 0 26 May 2023
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models Ying Fan Olivia Watkins Yuqing Du Hao Liu Moonkyung Ryu Craig Boutilier Pieter Abbeel Mohammad Ghavamzadeh Kangwook Lee Kimin Lee 36 134 0 25 May 2023
Trans-Dimensional Generative Modeling via Jump Diffusion Models Andrew Campbell William Harvey Christian Weilbach Valentin De Bortoli Tom Rainforth Arnaud Doucet DiffM 28 10 0 25 May 2023
On the Generalization of Diffusion Model Mingyang Yi Jiacheng Sun Zhenguo Li 13 18 0 24 May 2023
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction Francesco Pedrotti J. Maas Marco Mondelli DiffM 29 14 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 33 6 0 21 May 2023
The probability flow ODE is provably fast Sitan Chen Sinho Chewi Holden Lee Yuanzhi Li Jianfeng Lu Adil Salim DiffM 33 84 0 19 May 2023
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion Chao-Hong Tan Jia-Chen Gu Zhen-Hua Ling DiffM 25 0 0 19 May 2023
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces Javier E. Santos Z. Fox Nicholas Lubbers Y. Lin DiffM 17 15 0 18 May 2023
Dirichlet Diffusion Score Model for Biological Sequence Generation P. Avdeyev Chenlai Shi Y.M. Tan Kseniia Dudnyk Jian Zhou DiffM 13 48 0 18 May 2023
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 15 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 35 1 0 16 May 2023
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation Yu Chen Wei Deng Shikai Fang Fengpei Li Ni Yang Yikai Zhang Kashif Rasul Shandian Zhe Anderson Schneider Yuriy Nevmyvaka OT AI4TS 20 25 0 12 May 2023
LatentPINNs: Generative physics-informed neural networks via a latent representation learning M. H. Taufik T. Alkhalifah AI4CE DiffM 41 4 0 11 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 38 12 0 08 May 2023
A Variational Perspective on Solving Inverse Problems with Diffusion Models Morteza Mardani Jiaming Song Jan Kautz Arash Vahdat DiffM 22 122 0 07 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 29 26 0 06 May 2023
Unpaired Downscaling of Fluid Flows with Diffusion Bridges Tobias Bischoff Katherine Deck 21 14 0 02 May 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings Aram-Alexandre Pooladian Heli Ben-Hamu Carles Domingo-Enrich Brandon Amos Y. Lipman Ricky T. Q. Chen 60 126 0 28 Apr 2023
A mean-field games laboratory for generative modeling Benjamin J. Zhang M. Katsoulakis 22 17 0 26 Apr 2023
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images Zeyu Lu Di Huang Lei Bai Jingjing Qu Chengzhi Wu Xihui Liu Wanli Ouyang 16 51 0 25 Apr 2023
Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb DiffM 20 0 0 24 Apr 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy T. Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine L. Bouman William T. Freeman DiffM 74 87 0 23 Apr 2023
On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation Guoqiang Zhang Niwa Kenta W. Kleijn DiffM 10 8 0 22 Apr 2023