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Deep generative modeling using flows has gained popularity owing to the tractable exact log-likelihood estimation with efficient training and synthesis process.
Learning multiple layers of features from tiny images
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Auto-encoding variational bayes
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Rnade: The real-valued neural autoregressive density-estimator
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Nice: Non-linear independent components estimation
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Semi-supervised learning with deep generative models
D. P. Kingma, S. Mohamed, D. J. Rezende, and M. Welling · 2014
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Imagenet large scale visual recognition challenge
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Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
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Density estimation using real NVP
L. Dinh, J. Sohl-Dickstein, and S. Bengio · 2016
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Semi-supervised learning with generative adversarial networks
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Pixelsnail: An improved autoregressive generative model
X. Chen, N. Mishra, M. Rohaninejad, and P. Abbeel · 2017
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Parseval networks: Improving robustness to adversarial examples
M. Cisse, P. Bojanowski, E. Grave, Y. Dauphin, and N. Usunier · 2017
Earlier work this paper cites.
T. Salimans, A. Karpathy, X. Chen, and D. P. Kingma · 2017
Earlier work this paper cites.
J. Behrmann, W. Grathwohl, R. T. Chen, D. Duvenaud, and J.-H. Jacobsen · 2018
Earlier work this paper cites.
Ffjord: Free-form continuous dynamics for scalable reversible generative models
W. Grathwohl, R. T. Chen, J. Betterncourt, I. Sutskever, and D. Duvenaud · 2018
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A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2018
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Glow: Generative flow with invertible 1x1 convolutions
D. P. Kingma and P. Dhariwal · 2018
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Personal thermal comfort models based on physiological parameters measured by wearable sensors
S. Liu · 2018
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Emerging convolutions for generative normalizing flows
E. Hoogeboom, R. v. d. Berg, and M. Welling · 2019
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Semi-supervised learning with normalizing flows
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Videoflow: A flow-based generative model for video
M. Kumar, M. Babaeizadeh, D. Erhan, C. Finn, S. Levine, L. Dinh, and D. Kingma · 2019
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Personal thermal comfort models with wearable sensors
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Residual flows for invertible generative modeling
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Dlow: Domain flow for adaptation and generalization, 2019
R. Gong, W. Li, Y. Chen, and L. V. Gool · 2019
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Consensus adversarial domain adaptation
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Enforcing policy feasibility constraints through differentiable projection for energy optimization
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Multi-source few-shot domain adaptation
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