-
2
-
-
84882266451
-
Better mixing via deep representations
-
Bengio, Y., Mesnil, G., Dauphin, Y., and Rifai, S. Better mixing via deep representations. In Proceedings of the 30th International Conference on Machine Learning, 2013a.
-
(2013)
Proceedings of the 30th International Conference on Machine Learning
-
-
Bengio, Y.1
Mesnil, G.2
Dauphin, Y.3
Rifai, S.4
-
3
-
-
84893376517
-
-
Bengio, Y., Thibodeau-Laufer, E., Alain, G., and Yosinski, J. Deep generative stochastic networks trainable by backprop, 2013b. arXiv:1306.1091.
-
(2013)
Deep Generative Stochastic Networks Trainable by Backprop
-
-
Bengio, Y.1
Thibodeau-Laufer, E.2
Alain, G.3
Yosinski, J.4
-
5
-
-
79959652387
-
-
Technical report, Universite de Montreal
-
Breuleux, O., Bengio, Y., and Vincent, P. Unlearning for better mixing. Technical report, Universite de Montreal, 2009.
-
(2009)
Unlearning for Better Mixing
-
-
Breuleux, O.1
Bengio, Y.2
Vincent, P.3
-
6
-
-
84965154087
-
-
arXiv.org
-
Denton, E., Chintala, S., Szlam, A., and Fergus, R. Deep Generative Image Models using a Lapla-cian Pyramid of Adversarial Networks. arXiv.org, 2015.
-
(2015)
Deep Generative Image Models Using A Lapla-Cian Pyramid of Adversarial Networks
-
-
Denton, E.1
Chintala, S.2
Szlam, A.3
Fergus, R.4
-
10
-
-
84873514336
-
How sensitive is the human visual system to the local statistics of natural images?
-
Gerhard, H. E., Wichmann, F. A., and Bethge, M. How sensitive is the human visual system to the local statistics of natural images? PLoS Computational Biology, 9(1), 2013.
-
(2013)
PLoS Computational Biology
, vol.9
, Issue.1
-
-
Gerhard, H.E.1
Wichmann, F.A.2
Bethge, M.3
-
11
-
-
84937849144
-
Generative adversarial nets
-
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y. Generative adversarial nets. In Advances in Neural Information Processing Systems 27, 2014.
-
(2014)
Advances in Neural Information Processing Systems
, vol.27
-
-
Goodfellow, I.1
Pouget-Abadie, J.2
Mirza, M.3
Xu, B.4
Warde-Farley, D.5
Ozair, S.6
Courville, A.7
Bengio, Y.8
-
12
-
-
84983208884
-
Draw: A recurrent neural network for image generation
-
Gregor, K., Danihelka, I., Graves, A., and Wierstra, D. DRAW: A recurrent neural network for image generation. In Proceedings of the 32nd International Conference on Machine Learning, 2015.
-
(2015)
Proceedings of the 32nd International Conference on Machine Learning
-
-
Gregor, K.1
Danihelka, I.2
Graves, A.3
Wierstra, D.4
-
13
-
-
84864063983
-
A kernel method for the two-sample-problem
-
Gretton, A., Borgwardt, K. M., Rasch, M., Schölkopf, B., and Smola, A. J. A kernel method for the two-sample-problem. In Advances in Neural Information Processing Systems 20, 2007.
-
(2007)
Advances in Neural Information Processing Systems
, vol.20
-
-
Gretton, A.1
Borgwardt, K.M.2
Rasch, M.3
Schölkopf, B.4
Smola, A.J.5
-
16
-
-
0013344078
-
Training products of experts by minimizing contrastive divergence
-
Hinton, G. E. Training Products of Experts by Minimizing Contrastive Divergence. Neural Computation, 14(8):1771–1800, 2002.
-
(2002)
Neural Computation
, vol.14
, Issue.8
, pp. 1771-1800
-
-
Hinton, G.E.1
-
18
-
-
22044434800
-
Estimation of non-normalized statistical models using score matching
-
Hyvärinen, A. Estimation of non-normalized statistical models using score matching. Journal of Machine Learning Research, pp. 695–709, 2005.
-
(2005)
Journal of Machine Learning Research
, pp. 695-709
-
-
Hyvärinen, A.1
-
19
-
-
84930643107
-
Semi-supervised learning with deep generative models
-
Kingma, D. P., Rezende, D. J., Mohamed, S., and Welling, M. Semi-supervised learning with deep generative models. In Advances in Neural Information Processing Systems 27, 2014.
-
(2014)
Advances in Neural Information Processing Systems
, vol.27
-
-
Kingma, D.P.1
Rezende, D.J.2
Mohamed, S.3
Welling, M.4
-
23
-
-
0034291204
-
A parametric texture model based on joint statistics of complex wavelet coefficients
-
Portilla, J. and Simoncelli, E. P. A parametric texture model based on joint statistics of complex wavelet coefficients. International Journal of Computer Vision, 40:49–70, 2000.
-
(2000)
International Journal of Computer Vision
, vol.40
, pp. 49-70
-
-
Portilla, J.1
Simoncelli, E.P.2
-
26
-
-
84969975031
-
Deep unsupervised learning using nonequilibrium thermodynamics
-
Sohl-Dickstein, J., Weiss, E. A., Maheswaranathan, N., and Ganguli, S. Deep unsupervised learning using nonequilibrium thermodynamics. In Proceedings of the 32nd International Conference on Machine Learning, 2015.
-
(2015)
Proceedings of the 32nd International Conference on Machine Learning
-
-
Sohl-Dickstein, J.1
Weiss, E.A.2
Maheswaranathan, N.3
Ganguli, S.4
-
28
-
-
84898933061
-
RNAdE: The real-valued neural autoregressive density-estimator
-
Uria, B., Murray, I., and Larochelle, H. RNADE: The real-valued neural autoregressive density-estimator. In Advances in Neural Information Processing Systems 26, 2013.
-
(2013)
Advances in Neural Information Processing Systems
, vol.26
-
-
Uria, B.1
Murray, I.2
Larochelle, H.3
|