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A generative model based on a continuous-time normalizing flow between any pair of base and target probability densities is proposed.
A family of embedded runge-kutta formulae
J.R. Dormand and P.J. Prince · 1980
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A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines
M.F. Hutchinson · 1989
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A computational fluid mechanics solution to the monge-kantorovich mass transfer problem
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Gaussianization
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Cifar-10 (canadian institute for advanced research)
Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton · 2009
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Optimal transport: old and new , volume 338
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Rectified linear units improve restricted boltzmann machines
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A family of nonparametric density estimation algorithms
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Made: Masked autoencoder for distribution estimation
Mathieu Germain, Karol Gregor, Iain Murray, and Hugo Larochelle · 2015
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Adam: A method for stochastic optimization
Diederick P Kingma and Jimmy Ba · 2015
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Variational inference with normalizing flows
Danilo Rezende and Shakir Mohamed · 2015
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Optimal transport for applied mathematicians
Filippo Santambrogio · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Tackling the generative learning trilemma with denoising diffusion GANs
Zhisheng Xiao, Karsten Kreis, and Arash Vahdat · 2015
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Fast and accurate deep network learning by exponential linear units (elus)
Djork-Arné Clevert, Thomas Unterthiner, and Sepp Hochreiter · 2016
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Pixel recurrent neural networks
Aäron Van Den Oord, Nal Kalchbrenner, and Koray Kavukcuoglu · 2016
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Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio · 2017
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Masked autoregressive flow for density estimation
George Papamakarios, Theo Pavlakou, and Iain Murray · 2017
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Neural ordinary differential equations
Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, and David K Duvenaud · 2018
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Chin-Wei Huang, David Krueger, Alexandre Lacoste, and Aaron Courville · 2018
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Glow: Generative flow with invertible 1x1 convolutions
Durk P Kingma and Prafulla Dhariwal · 2018
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Maximum likelihood training of score-based diffusion models
Yang Song, Conor Durkan, Iain Murray, and Stefano Ermon · 2021
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