Maximum Likelihood Training of Score-Based Diffusion Models

22 January 2021

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

50 / 88 papers shown

Title
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking Chen-Hao Chao Wei-Fang Sun Hanwen Liang Chun-Yi Lee Rahul G. Krishnan DiffM 368 0 0 24 May 2025
Towards Identifiability of Interventional Stochastic Differential Equations Aaron Zweig Zaikang Lin Elham Azizi David A. Knowles 55 1 0 21 May 2025
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees Nishant Jain Xunpeng Huang Yian Ma Tong Zhang 80 0 0 02 May 2025
Uncertainty quantification of neural network models of evolving processes via Langevin sampling Cosmin Safta Reese E. Jones Ravi G. Patel Raelynn Wonnacot Dan S. Bolintineanu Craig M. Hamel S. Kramer BDL 93 0 0 21 Apr 2025
Geometry in Style: 3D Stylization via Surface Normal Deformation Nam Anh Dinh Itai Lang Hyunwoo Kim Oded Stein Rana Hanocka 3DH 96 0 0 29 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 199 0 0 16 Mar 2025
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation Jiawei Zhang Ziyuan Liu Leon Yan Gen Li Yuantao Gu 113 1 0 13 Mar 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 158 34 0 13 Mar 2025
Aligning Text to Image in Diffusion Models is Easier Than You Think J. Lee Byunghee Cha Jeongsol Kim Jong Chul Ye 90 1 0 11 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator Kaiwen Zheng Yongxin Chen Huayu Chen Guande He Xuan Li Jun Zhu Qinsheng Zhang DiffM 121 3 0 03 Mar 2025
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport Mingyang Sun Pengxiang Ding Weinan Zhang Donglin Wang OT 127 0 0 24 Feb 2025
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 100 0 0 04 Feb 2025
Visual Generation Without Guidance Huayu Chen Kai Jiang Kaiwen Zheng Jianfei Chen Hang Su Jun Zhu 142 2 0 28 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 123 2 0 13 Jan 2025
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training Julius Berner Lorenz Richter Marcin Sendera Jarrid Rector-Brooks Nikolay Malkin OffRL 115 8 0 10 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 96 0 0 03 Jan 2025
Generative Modelling with High-Order Langevin Dynamics Ziqiang Shi Rujie Liu DiffM 97 2 0 03 Jan 2025
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories Eric Hedlin Munawar Hayat Fatih Porikli Kwang Moo Yi Shweta Mahajan 3DH 127 0 0 22 Dec 2024
EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing Gaoxiang Cong Jiadong Pan Liang-Sheng Li Yuankai Qi Yuxin Peng Anton Van Den Hengel Jian Yang Qingming Huang 142 6 0 12 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 144 0 0 29 Nov 2024
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi Lei Wang K. Zhou 58 5 0 28 Oct 2024
Conjuring Semantic Similarity Tian Yu Liu Stefano Soatto DiffM 151 0 0 21 Oct 2024
Dynamic Negative Guidance of Diffusion Models Felix Koulischer Johannes Deleu G. Raya T. Demeester L. Ambrogioni DiffM 100 9 0 18 Oct 2024
Influence Functions for Scalable Data Attribution in Diffusion Models Bruno Mlodozeniec Runa Eschenhagen Juhan Bae Alexander Immer David Krueger Richard E. Turner DiffM TDI 100 7 0 17 Oct 2024
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective Xiangru Zhu Penglei Sun Yaoxian Song Yanghua Xiao Zhixu Li Chengyu Wang Jun Huang Bei Yang Xiaoxiao Xu EGVM 442 2 0 14 Oct 2024
Diffusion Models in 3D Vision: A Survey Zhen Wang Dongyuan Li Xue Liu Tianyu He Jiang Bian Renhe Jiang MedIm 218 4 0 07 Oct 2024
Configurable Multilingual ASR with Speech Summary Representations Harrison Zhu Ivan Fung Yingke Zhu Lahiru Samarakoon 70 5 0 06 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting Soon Hoe Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 88 2 0 04 Oct 2024
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 441 7 0 02 Oct 2024
Neural Entropy Akhil Premkumar DiffM 185 1 0 05 Sep 2024
Generating Physical Dynamics under Priors Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 110 1 0 01 Sep 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters Hao Liu Junze Tony Ye Ye Jose H. Blanchet DiffM FedML 87 1 0 28 Jun 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy Feng Ricardo Baptista Katherine Bouman MedIm DiffM 98 4 0 18 Jun 2024
Operator-Informed Score Matching for Markov Diffusion Models Zheyang Shen Huihui Wang Marina Riabiz Chris J. Oates DiffM 116 0 0 13 Jun 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 134 31 0 31 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 121 9 0 29 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 107 2 0 27 May 2024
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer Meng You Zhiyu Zhu Hui Liu Junhui Hou VGen DiffM 93 24 0 24 May 2024
Diffusion Bridge Implicit Models Kaiwen Zheng Guande He Jianfei Chen Fan Bao Jun Zhu DiffM 134 18 0 24 May 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 146 8 0 08 Apr 2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation Hongjian Liu Qingsong Xie Zhijie Deng Chen Chen Shixiang Tang Fueyang Fu Zheng-Jun Zha H. Lu Zheng-jun Zha 78 7 0 03 Mar 2024
Large Convolutional Model Tuning via Filter Subspace Wei Chen Zichen Miao Qiang Qiu 178 4 0 01 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 224 21 0 28 Feb 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 157 26 0 07 Feb 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 61 0 0 11 Jan 2024
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping Tianhao Wu Mingdong Wu Jiyao Zhang Yunchong Gan Hao Dong 110 21 0 12 Sep 2023
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 140 5 0 17 May 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 80 6 0 13 Feb 2023
Removing Structured Noise with Diffusion Models Tristan S.W. Stevens Hans van Gorp F. C. Meral Junseob Shin Jason Yu Jean-Luc Robert Ruud J. G. van Sloun DiffM 90 0 0 20 Jan 2023
Consistency Regularization for Variational Auto-Encoders Samarth Sinha Adji Bousso Dieng CML 64 69 0 31 May 2021