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Score-based generative modeling (SGM) has grown to be a hugely successful method for learning to generate samples from complex data distributions such as that of images and audio.
“Reverse-time diffusion equation models”
Brian Anderson · 1982
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Beatrice Laurent and Pascal Massart · 2000
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“A connection between score matching and denoising autoencoders”
Pascal Vincent · 2011
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“Do GANs learn the distribution? some theory and empirics”
Sanjeev Arora, Andrej Risteski and Yi Zhang · 2018
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“High-dimensional probability: An introduction with applications in data science”
Roman Vershynin · 2018
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“Plug and play language models: A simple approach to controlled text generation”
Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski and Rosanne Liu · 2019
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Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi and Kevin Swersky · 2019
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“Generative Modeling by Estimating Gradients of the Data Distribution”
Yang Song and Stefano Ermon · 2019
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“Generative modeling with denoising auto-encoders and Langevin sampling”
Adam Block, Youssef Mroueh and Alexander Rakhlin · 2020
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Jonathan Ho, Ajay Jain and Pieter Abbeel · 2020
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Yang Song and Stefano Ermon · 2020
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“Score-Based Generative Modeling through Stochastic Differential Equations”
Yang Song, Jascha Sohl-Dickstein, Diederik Kingma, Abhishek Kumar, Stefano Ermon and Ben Poole · 2020
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“Dimension-free log-Sobolev inequalities for mixture distributions”
Hong-Bin Chen, Sinho Chewi and Jonathan Niles-Weed · 2021
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“Analysis of Langevin Monte Carlo from Poincaré to Log-Sobolev”
Sinho Chewi, Murat Erdogdu, Mufan Li, Ruoqi Shen and Matthew Zhang · 2021
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“Maximum likelihood training of score-based diffusion models”
Yang Song, Conor Durkan, Iain Murray and Stefano Ermon · 2021
Later among the works it cites.
“Solving Inverse Problems in Medical Imaging with Score-Based Generative Models”
Yang Song, Liyue Shen, Lei Xing and Stefano Ermon · 2021
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Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim and Anru. Zhang · 2022
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“Convergence of denoising diffusion models under the manifold hypothesis”
Valentin De · 2022
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