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Score-based models, trained with denoising score matching, are remarkably effective in generating high dimensional data.
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Mnih, V., Badia, A. P., Mirza, M., Graves, A., Lillicrap, T. P., Harley, T., Silver, D., and Kavukcuoglu, K · 2016
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Telgarsky, M · 2016
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Blei, D. M., Kucukelbir, A., and McAuliffe, J. D · 2017
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Grathwohl, W., Choi, D., Wu, Y., Roeder, G., and Duvenaud, D · 2018
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Improved techniques for training score-based generative models, 2020
Song, Y. and Ermon, S · 2020
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A wasserstein minimum velocity approach to learning unnormalized models, 2020
Wang, Z., Cheng, S., Li, Y., Zhu, J., and Zhang, B · 2020
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Applications and Methods for Energy-based Models at Scale
Grathwohl, W. S · 2021
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A variational perspective on diffusion-based generative models and score matching, 2021
Huang, C.-W., Lim, J. H., and Courville, A · 2021
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Normalizing flows for probabilistic modeling and inference, 2021
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Song, Y. and Kingma, D. P · 2021
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Liu, H., Feng, Y., Mao, Y., Zhou, D., Peng, J., and Liu, Q · 2018
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Spectral normalization for generative adversarial networks, 2018
Miyato, T., Kataoka, T., Koyama, M., and Yoshida, Y · 2018
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Tighter variational bounds are not necessarily better, 2019
Rainforth, T., Kosiorek, A. R., Le, T. A., Maddison, C. J., Igl, M., Wood, F., and Teh, Y. W · 2019
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Generative modeling by estimating gradients of the data distribution
Song, Y. and Ermon, S · 2019
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Sliced score matching: A scalable approach to density and score estimation, 2019
Song, Y., Garg, S., Shi, J., and Ermon, S · 2019
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Amortized variance reduction for doubly stochastic objectives, 2020
Boustati, A., Vakili, S., Hensman, J., and John, S · 2020
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Flexible diffusion modeling of long videos, 2022
Harvey, W., Naderiparizi, S., Masrani, V., Weilbach, C., and Wood, F · 2022
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Understanding diffusion models: A unified perspective, 2022
Luo, C · 2022
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High-resolution image synthesis with latent diffusion models
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A tale of two flows: Cooperative learning of langevin flow and normalizing flow toward energy-based model, 2022
Xie, J., Zhu, Y., Li, J., and Li, P · 2022
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Geodiff: a geometric diffusion model for molecular conformation generation, 2022
Xu, M., Yu, L., Song, Y., Shi, C., Ermon, S., and Tang, J · 2022
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Stochastic interpolants: A unifying framework for flows and diffusions, 2023
Albergo, M. S., Boffi, N. M., and Vanden-Eijnden, E · 2023
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Structured denoising diffusion models in discrete state-spaces, 2023
Austin, J., Johnson, D. D., Ho, J., Tarlow, D., and van den Berg, R · 2023
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Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc, 2023
Du, Y., Durkan, C., Strudel, R., Tenenbaum, J. B., Dieleman, S., Fergus, R., Sohl-Dickstein, J., Doucet, A., and Grathwohl, W · 2023
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Diffusion models: A comprehensive survey of methods and applications, 2023
Yang, L., Zhang, Z., Song, Y., Hong, S., Xu, R., Zhao, Y., Zhang, W., Cui, B., and Yang, M.-H · 2023
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