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Autoregressive models are among the best performing neural density estimators.
Gaussianization
S. S. Chen and R. A. Gopinath · 2001
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A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
D. Martin, C. Fowlkes, D. Tal, and J. Malik · 2001
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Boosted decision trees as an alternative to artificial neural networks for particle identification
B. P. Roe, H.-J. Yang, J. Zhu, Y. Liu, I. Stancu, and G. McGregor · 2005
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A fast learning algorithm for deep belief nets
G. Hinton, S. Osindero, and Y.-W. Teh · 2006
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Learning multiple layers of features from tiny images
A. Krizhevsky and G. Hinton · 2009
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From learning models of natural image patches to whole image restoration
D. Zoran and Y. Weiss · 2011
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Deep mixtures of factor analysers
Y. Tang, R. Salakhutdinov, and G. Hinton · 2012
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Approximate Bayesian computation via regression density estimation
Y. Fan, D. J. Nott, and S. A. Sisson · 2013
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UCI machine learning repository, 2013
M. Lichman · 2013
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High-dimensional probability estimation with deep density models
O. Rippel and R. P. Adams · 2013
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RNADE: The real-valued neural autoregressive density-estimator
B. Uria, I. Murray, and H. Larochelle · 2013
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NICE: Non-linear Independent Components Estimation
L. Dinh, D. Krueger, and Y. Bengio · 2014
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Auto-encoding variational Bayes
D. P. Kingma and M. Welling · 2014
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Stochastic backpropagation and approximate inference in deep generative models
D. J. Rezende, S. Mohamed, and D. Wierstra · 2014
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A deep and tractable density estimator
B. Uria, I. Murray, and H. Larochelle · 2014
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Reservoir computing compensates slow response of chemosensor arrays exposed to fast varying gas concentrations in continuous monitoring
J. Fonollosa, S. Sheik, R. Huerta, and S. Marco · 2015
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MADE: Masked Autoencoder for Distribution Estimation
M. Germain, K. Gregor, I. Murray, and H. Larochelle · 2015
Cited alongside, same era.
Neural adaptive sequential Monte Carlo
S. Gu, Z. Ghahramani, and R. E. Turner · 2015
Cited alongside, same era.
Parameterized machine learning for high-energy physics
P. Baldi, K. Cranmer, T. Faucett, P. Sadowski, and D. Whiteson · 2016
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Density modeling of images using a generalized normalization transformation
J. Ballé, V. Laparra, and E. P. Simoncelli · 2016
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Improved variational inference with Inverse Autoregressive Flow
D. P. Kingma, T. Salimans, R. Jozefowicz, X. Chen, I. Sutskever, and M. Welling · 2016
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Inference networks for sequential Monte Carlo in graphical models
B. Paige and F. Wood · 2016
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Fast ϵ \epsilon -free inference of simulation models with Bayesian conditional density estimation
G. Papamakarios and I. Murray · 2016
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
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Picture: A probabilistic programming language for scene perception
T. D. Kulkarni, P. Kohli, J. B. Tenenbaum, and V. Mansinghka · 2015
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Distilling intractable generative models, 2015
G. Papamakarios and I. Murray · 2015
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Variational inference with normalizing flows
D. J. Rezende and S. Mohamed · 2015
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Generative image modeling using spatial LSTMs
L. Theis and M. Bethge · 2015
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Theano Development Team · 2016
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A note on the evaluation of generative models
L. Theis, A. van den Oord, and M. Bethge · 2016
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Neural autoregressive distribution estimation
B. Uria, M.-A. Côté, K. Gregor, I. Murray, and H. Larochelle · 2016
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http://archive.ics.uci.edu/ml/datasets/Individual+household+electric+power+consumption
Individual household electric power consumption data set · 2017
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Density estimation using Real NVP
L. Dinh, J. Sohl-Dickstein, and S. Bengio · 2017
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Inference compilation and universal probabilistic programming
T. A. Le, A. G. Baydin, and F. Wood · 2017
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Maximum entropy flow networks
G. Loaiza-Ganem, Y. Gao, and J. P. Cunningham · 2017
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T. Salimans, A. Karpathy, X. Chen, and D. P. Kingma · 2017
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