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The fundamental task of general density estimation $p(x)$ has been of keen interest to machine learning.
Connectionist learning of belief networks
Neal, R. M · 1992
Earlier work this paper cites.
Probabilistic inference using markov chain monte carlo methods
Neal, R. M · 1993
Earlier work this paper cites.
Mixture density networks
Bishop, C. M · 1994
Earlier work this paper cites.
Graphical models for machine learning and digital communication
Frey, B. J · 1998
Earlier work this paper cites.
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
Martin, D., Fowlkes, C., Tal, D., and Malik, J · 2001
Earlier work this paper cites.
All of nonparametric statistics, 2007
Wasserman, L · 2007
Earlier work this paper cites.
The nonparanormal: Semiparametric estimation of high dimensional undirected graphs
Liu, H., Lafferty, J., and Wasserman, L · 2009
Earlier work this paper cites.
MCMC using Hamiltonian dynamics
Neal, R. M · 2010
Earlier work this paper cites.
The million song dataset
Bertin-Mahieux, T., Ellis, D. P., Whitman, B., and Lamere, P · 2011
Earlier work this paper cites.
The neural autoregressive distribution estimator
Larochelle, H. and Murray, I · 2011
Earlier work this paper cites.
Forest density estimation
Liu, H., Xu, M., Gu, H., Gupta, A., Lafferty, J., and Wasserman, L · 2011
Earlier work this paper cites.
3D is here: Point Cloud Library (PCL)
Rusu, R. B. and Cousins, S · 2011
Earlier work this paper cites.
Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription
Boulanger-Lewandowski, N., Bengio, Y., and Vincent, P · 2012
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Rnade: The real-valued neural autoregressive density-estimator
Uria, B., Murray, I., and Larochelle, H · 2013
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Nice: Non-linear independent components estimation
Dinh, L., Krueger, D., and Bengio, Y · 2014
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Deep autoregressive networks
Gregor, K., Danihelka, I., Mnih, A., Blundell, C., and Wierstra, D · 2014
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Adam: A method for stochastic optimization
Kingma, D. and Ba, J · 2014
Cited alongside, same era.
Density estimation using real nvp
Dinh, L., Sohl-Dickstein, J., and Bengio, S · 2016
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Variance reduction in stochastic gradient langevin dynamics
Dubey, K. A., Reddi, S. J., Williamson, S. A., Poczos, B., Smola, A. J., and Xing, E. P · 2016
Later among the works it cites.
Nips 2016 tutorial: Generative adversarial networks
Goodfellow, I · 2016
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Composing graphical models with neural networks for structured representations and fast inference
Johnson, M., Duvenaud, D. K., Wiltschko, A., Adams, R. P., and Datta, S. R · 2016
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Improving variational inference with inverse autoregressive flow
Kingma, D. P., Salimans, T., and Welling, M · 2016
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Uria, B., Murray, I., and Larochelle, H · 2014
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Deep mixture density networks for acoustic modeling in statistical parametric speech synthesis
Zen, H. and Senior, A · 2014
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Shapenet: An information-rich 3d model repository
Chang, A. X., Funkhouser, T., Guibas, L., Hanrahan, P., Huang, Q., Li, Z., Savarese, S., Savva, M., Song, S., Su, H., et al · 2015
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Made: masked autoencoder for distribution estimation
Germain, M., Gregor, K., Murray, I., and Larochelle, H · 2015
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Connectionist multivariate density-estimation and its application to speech synthesis., 2015
Uria, B · 2015
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., Devin, M., et al · 2016
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Pixel recurrent neural networks
Oord, A. v. d., Kalchbrenner, N., and Kavukcuoglu, K · 2016
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Neural autoregressive distribution estimation
Uria, B., Côté, M.-A., Gregor, K., Murray, I., and Larochelle, H · 2016
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Contextual explanation networks
Al-Shedivat, M., Dubey, A., and Xing, E. P · 2017
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The maf git repository
MAF Git Repository · 2017
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Masked autoregressive flow for density estimation
Papamakarios, G., Pavlakou, T., and Murray, I · 2017
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Deep sets
Zaheer, M., Kottur, S., Ravanbakhsh, S., Poczos, B., Salakhutdinov, R. R., and Smola, A. J · 2017
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