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
Posterior Sampling with Denoising Oracles via Tilted Transport Joan Bruna Jiequn Han DiffM MedIm 27 4 0 30 Jun 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters Hao Liu Junze Tony Ye Ye Jose H. Blanchet DiffM FedML 32 1 0 28 Jun 2024
Towards diffusion models for large-scale sea-ice modelling Tobias S. Finn Charlotte Durand A. Farchi Marc Bocquet J. Brajard 34 2 0 26 Jun 2024
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification Xianlong Wang Shengshan Hu Yechao Zhang Ziqi Zhou Leo Yu Zhang Peng Xu Wei Wan Hai Jin AAML 39 3 0 21 Jun 2024
Neural Residual Diffusion Models for Deep Scalable Vision Generation Zhiyuan Ma Liangliang Zhao Biqing Qi Bowen Zhou DiffM 56 2 0 19 Jun 2024
Evaluating the design space of diffusion-based generative models Yuqing Wang Ye He Molei Tao DiffM 36 5 0 18 Jun 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy T. Feng Ricardo Baptista Katherine L. Bouman MedIm DiffM 40 3 0 18 Jun 2024
Latent Denoising Diffusion GAN: Faster sampling, Higher image quality Luan Thanh Trinh T. Hamagami DiffM 32 4 0 17 Jun 2024
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models Changjiang Li Ren Pang Bochuan Cao Jinghui Chen Fenglong Ma Shouling Ji Ting Wang DiffM 30 3 0 14 Jun 2024
Understanding Hallucinations in Diffusion Models through Mode Interpolation Sumukh K. Aithal Pratyush Maini Zachary Chase Lipton J. Zico Kolter DiffM 40 19 0 13 Jun 2024
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models Benjamin Biggs Arjun Seshadri Yang Zou Achin Jain Aditya Golatkar Yusheng Xie Alessandro Achille Ashwin Swaminathan Stefano Soatto MoMe DiffM 35 10 0 12 Jun 2024
DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction Meng Liu Saee Paliwal 21 0 0 11 Jun 2024
Mean-field Chaos Diffusion Models S. Park Dongjun Kim Ahmed Alaa DiffM 21 0 0 08 Jun 2024
Variational Flow Matching for Graph Generation Floor Eijkelboom Grigory Bartosh C. A. Naesseth Max Welling Jan Willem van de Meent 31 10 0 07 Jun 2024
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models Hamidreza Kamkari Brendan Leigh Ross Rasa Hosseinzadeh Jesse C. Cresswell G. Loaiza-Ganem DiffM 32 11 0 05 Jun 2024
Floating Anchor Diffusion Model for Multi-motif Scaffolding Ke Liu Weian Mao Shuaike Shen Xiaoran Jiao Zheng Sun Hao Chen Chunhua Shen 32 1 0 05 Jun 2024
Dreamguider: Improved Training free Diffusion-based Conditional Generation Nithin Gopalakrishnan Nair Vishal M. Patel 30 2 0 04 Jun 2024
Navigating Autonomous Vehicle on Unmarked Roads with Diffusion-Based Motion Prediction and Active Inference Yufei Huang Yulin Li Andrea Matta Mohsen Jafari 19 1 0 31 May 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 60 24 0 31 May 2024
Unleashing the Potential of Diffusion Models for Incomplete Data Imputation Hengrui Zhang Liancheng Fang Philip S. Yu 21 5 0 31 May 2024
Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling Kidist Amde Mekonnen Nicola DallÁsen Paolo Rota 21 1 0 31 May 2024
Diffusion Policies creating a Trust Region for Offline Reinforcement Learning Tianyu Chen Zhendong Wang Mingyuan Zhou OffRL 24 4 0 30 May 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 72 7 0 29 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 42 2 0 27 May 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity Haoxuan Chen Yinuo Ren Lexing Ying Grant M. Rotskoff 38 15 0 24 May 2024
Diffusion Actor-Critic with Entropy Regulator Yinuo Wang Likun Wang Yuxuan Jiang Wenjun Zou Tong Liu ... Wenxuan Wang Liming Xiao Jiang Wu Jingliang Duan Shengbo Eben Li DiffM 40 9 0 24 May 2024
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer Meng You Zhiyu Zhu Hui Liu Junhui Hou VGen DiffM 26 23 0 24 May 2024
Diffusion Bridge Implicit Models Kaiwen Zheng Guande He Jianfei Chen Fan Bao Jun Zhu DiffM 73 13 0 24 May 2024
The Disappearance of Timestep Embedding in Modern Time-Dependent Neural Networks Bum Jun Kim Yoshinobu Kawahara Sang Woo Kim AI4TS 21 1 0 23 May 2024
Enhanced Creativity and Ideation through Stable Video Synthesis Elijah Miller Thomas Dupont Mingming Wang VGen 28 0 0 22 May 2024
One-step data-driven generative model via Schrödinger Bridge Hanwen Huang DiffM 29 4 0 21 May 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng Alexandre H. Thiery Harold Soh 39 0 0 20 May 2024
On the Trajectory Regularity of ODE-based Diffusion Sampling Defang Chen Zhenyu Zhou Can Wang Chunhua Shen Siwei Lyu 35 14 0 18 May 2024
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask Zineb Senane Lele Cao V. Buchner Yusuke Tashiro Lei You P. Herman Mats Nordahl Ruibo Tu Vilhelm von Ehrenheim DiffM AI4TS 14 10 0 09 May 2024
Probablistic Restoration with Adaptive Noise Sampling for 3D Human Pose Estimation Xianzhou Zeng Hao Qin Ming Kong Luyuan Chen Qiang Zhu 3DH 16 0 0 03 May 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Yuxuan Liang ... Bin Yang Zenglin Xu Jiang Bian Shirui Pan Qingsong Wen DiffM AI4TS SyDa 29 36 0 29 Apr 2024
Learning Visuotactile Skills with Two Multifingered Hands Toru Lin Yu Zhang Qiyang Li Haozhi Qi Brent Yi Sergey Levine Jitendra Malik 39 52 0 25 Apr 2024
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models Xu Shen Yili Wang Kaixiong Zhou Shirui Pan Xin Wang 32 6 0 24 Apr 2024
The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking Yuying Li Zeyan Liu Junyi Zhao Liangqin Ren Fengjun Li Jiebo Luo Bo Luo 22 1 0 22 Apr 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 29 7 0 19 Apr 2024
Rethinking Clothes Changing Person ReID: Conflicts, Synthesis, and Optimization Junjie Li Guanshuo Wang Fufu Yu Yichao Yan Qiong Jia Shouhong Ding Xingdong Sheng Yunhui Liu Xiaokang Yang 36 1 0 19 Apr 2024
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations Leying Zhang Yao Qian Long Zhou Shujie Liu Dongmei Wang ... Yanmin Qian Jinyu Li Lei He Sheng Zhao Michael Zeng 26 1 0 10 Apr 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 54 5 0 08 Apr 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox Hamidreza Kamkari Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini Rahul G. Krishnan G. Loaiza-Ganem OODD 26 9 0 27 Mar 2024
ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation Suraj Patni Aradhye Agarwal Chetan Arora VLM DiffM MDE 25 26 0 27 Mar 2024
RoboKeyGen: Robot Pose and Joint Angles Estimation via Diffusion-based 3D Keypoint Generation Yang Tian Jiyao Zhang Guowei Huang Bin Wang Ping Wang Jiangmiao Pang Hao Dong 16 4 0 27 Mar 2024
Improving Diffusion Models's Data-Corruption Resistance using Scheduled Pseudo-Huber Loss Artem Khrapov Vadim Popov Tasnima Sadekova Assel Yermekova Mikhail Kudinov DiffM 27 1 0 25 Mar 2024
Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors Yazid Janati Alain Durmus Eric Moulines Jimmy Olsson DiffM 38 7 0 18 Mar 2024
Understanding Diffusion Models by Feynman's Path Integral Yuji Hirono A. Tanaka Kenji Fukushima DiffM 33 6 0 17 Mar 2024
A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images Cristiana Tiago S. Snare Jurica Šprem K. Mcleod DiffM MedIm 31 9 0 07 Mar 2024