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Maximum Likelihood Training of Score-Based Diffusion Models
v1v2v3v4 (latest)

Maximum Likelihood Training of Score-Based Diffusion Models

Neural Information Processing Systems (NeurIPS), 2021
22 January 2021
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
    DiffM
ArXiv (abs)PDFHTML

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

50 / 517 papers shown
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation
Jiawei Zhang
Ziyuan Liu
Leon Yan
Gen Li
Yuantao Gu
552
2
0
13 Mar 2025
Probability-Flow ODE in Infinite-Dimensional Function Spaces
Kunwoo Na
Junghyun Lee
Se-Young Yun
Sungbin Lim
288
1
0
13 Mar 2025
Aligning Text to Image in Diffusion Models is Easier Than You Think
Aligning Text to Image in Diffusion Models is Easier Than You Think
J. Lee
Byunghee Cha
Jeongsol Kim
Jong Chul Ye
726
9
0
11 Mar 2025
Learning Energy-Based Models by Self-normalising the Likelihood
Hugo Senetaire
Paul Jeha
Pierre-Alexandre Mattei
J. Frellsen
330
1
0
10 Mar 2025
Towards Understanding Text Hallucination of Diffusion Models via Local Generation BiasInternational Conference on Learning Representations (ICLR), 2025
Rui Lu
Runzhe Wang
Kaifeng Lyu
Xitai Jiang
Gao Huang
Mengdi Wang
DiffM
286
5
0
05 Mar 2025
Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers
Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem SolversIEEE Open Journal of Signal Processing (JOSP), 2025
Evan Scope Crafts
Umberto Villa
426
0
0
04 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
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
619
12
0
03 Mar 2025
Generative Uncertainty in Diffusion Models
Generative Uncertainty in Diffusion ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2025
Metod Jazbec
Eliot Wong-Toi
Guoxuan Xia
Dan Zhang
Eric T. Nalisnick
Stephan Mandt
DiffM
504
3
0
28 Feb 2025
On the Interpolation Effect of Score Smoothing in Diffusion Models
On the Interpolation Effect of Score Smoothing in Diffusion Models
Zhengdao Chen
DiffM
435
5
0
26 Feb 2025
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
Mintong Kang
Vinayshekhar Bannihatti Kumar
Shamik Roy
Abhishek Kumar
Sopan Khosla
Balakrishnan Narayanaswamy
Rashmi Gangadharaiah
252
1
0
25 Feb 2025
Improved Diffusion-based Generative Model with Better Adversarial Robustness
Improved Diffusion-based Generative Model with Better Adversarial RobustnessInternational Conference on Learning Representations (ICLR), 2025
Zekun Wang
Mingyang Yi
Shuchen Xue
Zhiyu Li
Ming Liu
Bing Qin
Zhi-Ming Ma
DiffM
355
1
0
24 Feb 2025
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
Mingyang Sun
Pengxiang Ding
Weinan Zhang
Donglin Wang
OT
417
4
0
24 Feb 2025
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
Masatoshi Uehara
Xingyu Su
Yulai Zhao
Xiner Li
Aviv Regev
Shuiwang Ji
Sergey Levine
Tommaso Biancalani
246
12
0
20 Feb 2025
Regularization can make diffusion models more efficient
Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
427
1
0
13 Feb 2025
Advanced Zero-Shot Text-to-Speech for Background Removal and Preservation with Controllable Masked Speech Prediction
Advanced Zero-Shot Text-to-Speech for Background Removal and Preservation with Controllable Masked Speech PredictionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Leying Zhang
Feiyu Xiong
Zhengyang Chen
Yanmin Qian
149
5
0
11 Feb 2025
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE SolversInternational Conference on Learning Representations (ICLR), 2025
Ao Li
Wei Fang
Hongbo Zhao
Le Lu
Ge Yang
Minfeng Xu
DiffM
430
4
0
11 Feb 2025
Dual Caption Preference Optimization for Diffusion Models
Dual Caption Preference Optimization for Diffusion Models
Amir Saeidi
Yiran Luo
Agneet Chatterjee
Shamanthak Hegde
Bimsara Pathiraja
Yezhou Yang
Chitta Baral
DiffM
329
1
0
09 Feb 2025
Density Ratio Estimation with Conditional Probability Paths
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu
Arto Klami
Aapo Hyvarinen
Anna Korba
Omar Chehab
516
4
0
04 Feb 2025
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
Grigory Bartosh
Dmitry Vetrov
C. A. Naesseth
488
7
0
04 Feb 2025
Diffusion Generative Modeling on Lie Group Representations
Diffusion Generative Modeling on Lie Group Representations
Marco Bertolini
Tuan Le
Djork-Arné Clevert
DiffM
454
2
0
04 Feb 2025
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
Yinuo Ren
Haoxuan Chen
Yuchen Zhu
Wei Guo
Yongxin Chen
Grant M. Rotskoff
Molei Tao
Lexing Ying
DiffM
319
25
0
01 Feb 2025
Visual Generation Without Guidance
Visual Generation Without Guidance
Huayu Chen
Kai Jiang
Kaiwen Zheng
Jianfei Chen
Hang Su
Jun Zhu
VLM
449
10
0
26 Jan 2025
Block Flow: Learning Straight Flow on Data Blocks
Block Flow: Learning Straight Flow on Data Blocks
Zibin Wang
Zhiyuan Ouyang
Xiangyun Zhang
211
0
0
20 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving MapsInternational Conference on Learning Representations (ICLR), 2025
Henry Li
Ronen Basri
Y. Kluger
DiffM
461
3
0
13 Jan 2025
Introducing 3D Representation for Medical Image Volume-to-Volume Translation via Score Fusion
Introducing 3D Representation for Medical Image Volume-to-Volume Translation via Score Fusion
Xiyue Zhu
Dou Hoon Kwark
Ruike Zhu
Kaiwen Hong
Yiqi Tao
Shirui Luo
Yudu Li
Zhi-Pei Liang
Volodymyr V. Kindratenko
MedIm
361
0
0
13 Jan 2025
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training
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
408
15
0
10 Jan 2025
Generative Modelling with High-Order Langevin Dynamics
Generative Modelling with High-Order Langevin Dynamics
Ziqiang Shi
Rujie Liu
DiffM
448
4
0
03 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based ModelsNeural Information Processing Systems (NeurIPS), 2024
Daniela de Albuquerque
John Pearson
DiffM
457
1
0
03 Jan 2025
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight TrajectoriesComputer Vision and Pattern Recognition (CVPR), 2024
Eric Hedlin
Munawar Hayat
Fatih Porikli
Kwang Moo Yi
Shweta Mahajan
3DH
422
4
0
22 Dec 2024
Optimizing Few-Step Sampler for Diffusion Probabilistic Model
Optimizing Few-Step Sampler for Diffusion Probabilistic Model
Jen-Yuan Huang
DiffM
298
0
0
14 Dec 2024
EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing
EmoDubber: Towards High Quality and Emotion Controllable Movie DubbingComputer Vision and Pattern Recognition (CVPR), 2024
Gaoxiang Cong
Jiadong Pan
Liang-Sheng Li
Yuankai Qi
Yuxin Peng
Anton Van Den Hengel
Jian Yang
Qingming Huang
624
16
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12 Dec 2024
Diffusion models learn distributions generated by complex Langevin
  dynamics
Diffusion models learn distributions generated by complex Langevin dynamics
Diaa E. Habibi
Gert Aarts
Lei Wang
K. Zhou
DiffM
237
3
0
02 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Rongkun Xue
Jinouwen Zhang
Yazhe Niu
Dazhong Shen
Bingqi Ma
Yu Liu
Jing Yang
582
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29 Nov 2024
Privacy Protection in Personalized Diffusion Models via Targeted
  Cross-Attention Adversarial Attack
Privacy Protection in Personalized Diffusion Models via Targeted Cross-Attention Adversarial Attack
Xide Xu
Muhammad Atif Butt
Sandesh Kamath
Bogdan Raducanu
DiffMAAML
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Using Diffusion Models as Generative Replay in Continual Federated
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Yongsheng Mei
Liangqi Yuan
Dong-Jun Han
Kevin S. Chan
Christopher G. Brinton
Tian-Shing Lan
287
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Hardware-Friendly Diffusion Models with Fixed-Size Reusable Structures for On-Device Image Generation
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Sanchar Palit
Sathya Veera Reddy Dendi
Mallikarjuna Talluri
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247
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Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion
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Qi Qi
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Ziwen Ke
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Qiegen Liu
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Video prediction using score-based conditional density estimation
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Eero P. Simoncelli
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Consistency Diffusion Bridge Models
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Kaiwen Zheng
Jianfei Chen
Fan Bao
Jun-Jie Zhu
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On learning higher-order cumulants in diffusion models
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Stefano Soatto
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Dynamic Negative Guidance of Diffusion Models
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Johannes Deleu
G. Raya
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Luca Ambrogioni
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Solving Prior Distribution Mismatch in Diffusion Models via Optimal
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Influence Functions for Scalable Data Attribution in Diffusion Models
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Runa Eschenhagen
Juhan Bae
Alexander Immer
David Krueger
Richard E. Turner
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On the Relation Between Linear Diffusion and Power Iteration
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Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
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