-
3
-
-
5244304444
-
Efficient estimation of free energy differences from Monte Carlo data
-
Charles H. Bennett. Efficient estimation of free energy differences from Monte Carlo data. Journal of Computational Physics, 22(2):245-268, 1976.
-
(1976)
Journal of Computational Physics
, vol.22
, Issue.2
, pp. 245-268
-
-
Bennett, C.H.1
-
5
-
-
85049977375
-
Bidirectional Helmholtz machines
-
Jörg Bornschein, Samira Shabanian, Asja Fischer, and Yoshua Bengio. Bidirectional Helmholtz machines. In Proceedings of The 33rd International Conference on Machine Learning, pp. 2511-2519, 2016.
-
(2016)
Proceedings of the 33rd International Conference on Machine Learning
, pp. 2511-2519
-
-
Bornschein, J.1
Shabanian, S.2
Fischer, A.3
Bengio, Y.4
-
6
-
-
85072753030
-
Generating sentences from a continuous space
-
Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Jozefowicz, and Samy Bengio. Generating sentences from a continuous space. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pp. 10-21, 2016.
-
(2016)
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning
, pp. 10-21
-
-
Bowman, S.R.1
Vilnis, L.2
Vinyals, O.3
Dai, A.M.4
Jozefowicz, R.5
Bengio, S.6
-
10
-
-
84877799221
-
Enhanced gradient for training restricted Boltzmann machines
-
KyungHyun Cho, Tapani Raiko, and Alexander Ilin. Enhanced gradient for training restricted Boltzmann machines. Neural Computation, 25(3):805-831, 2013.
-
(2013)
Neural Computation
, vol.25
, Issue.3
, pp. 805-831
-
-
Cho, K.1
Raiko, T.2
Ilin, A.3
-
11
-
-
84965158187
-
A recurrent latent variable model for sequential data
-
Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C. Courville, and Yoshua Bengio. A recurrent latent variable model for sequential data. In Advances in Neural Information Processing Systems, pp. 2980-2988, 2015.
-
(2015)
Advances in Neural Information Processing Systems
, pp. 2980-2988
-
-
Chung, J.1
Kastner, K.2
Dinh, L.3
Goel, K.4
Courville, A.C.5
Bengio, Y.6
-
13
-
-
0027560587
-
Approximating probabilistic inference in Bayesian belief networks is NP-hard
-
Paul Dagum and Michael Luby. Approximating probabilistic inference in Bayesian belief networks is NP-hard. Artificial Intelligence, 60(1):141-153, 1993.
-
(1993)
Artificial Intelligence
, vol.60
, Issue.1
, pp. 141-153
-
-
Dagum, P.1
Luby, M.2
-
15
-
-
84937849144
-
Generative adversarial nets
-
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets. In Advances in Neural Information Processing Systems, pp. 2672-2680, 2014.
-
(2014)
Advances in Neural Information Processing Systems
, pp. 2672-2680
-
-
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
-
17
-
-
84919810318
-
Deep autoregressive networks
-
Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, and Daan Wierstra. Deep autoregressive networks. In Proceedings of the 31st International Conference on Machine Learning, pp. 1242-1250, 2014.
-
(2014)
Proceedings of the 31st International Conference on Machine Learning
, pp. 1242-1250
-
-
Gregor, K.1
Danihelka, I.2
Mnih, A.3
Blundell, C.4
Wierstra, D.5
-
18
-
-
84983208884
-
Draw: A recurrent neural network for image generation
-
Karol Gregor, Ivo Danihelka, Alex Graves, and Daan Wierstra. DRAW: A recurrent neural network for image generation. In Proceedings of the 32nd International Conference on Machine Learning, pp. 1462-1471, 2015.
-
(2015)
Proceedings of the 32nd International Conference on Machine Learning
, pp. 1462-1471
-
-
Gregor, K.1
Danihelka, I.2
Graves, A.3
Wierstra, D.4
-
19
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
Geoffrey Hinton, Simon Osindero, and Yee-Whye Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18(7):1527-1554, 2006.
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.1
Osindero, S.2
Teh, Y.-W.3
-
20
-
-
0002834189
-
Autoencoders, minimum description length, and Helmholtz free energy
-
J. D. Cowan, G. Tesauro, and J. Alspector eds, Morgan Kaufmann Publishers, Inc
-
Geoffrey E. Hinton and R. S. Zemel. Autoencoders, minimum description length, and Helmholtz free energy. In J. D. Cowan, G. Tesauro, and J. Alspector (eds.), Advances in Neural Information Processing Systems 6, pp. 3-10. Morgan Kaufmann Publishers, Inc., 1994.
-
(1994)
Advances in Neural Information Processing Systems
, vol.6
, pp. 3-10
-
-
Hinton, G.E.1
Zemel, R.S.2
-
22
-
-
85017433100
-
Composing graphical models with neural networks for structured representations and fast inference
-
Matthew Johnson, David K Duvenaud, Alexander B Wiltschko, Sandeep R Datta, and Ryan P Adams. Composing graphical models with neural networks for structured representations and fast inference. In Advances in Neural Information Processing Systems, pp. 2946-2954, 2016.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 2946-2954
-
-
Johnson, M.1
Duvenaud, D.K.2
Wiltschko, A.B.3
Datta, S.R.4
Adams, R.P.5
-
23
-
-
0033225865
-
An introduction to variational methods for graphical models
-
Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, and Lawrence K. Saul. An introduction to variational methods for graphical models. Machine learning, 37(2):183-233, 1999.
-
(1999)
Machine Learning
, vol.37
, Issue.2
, pp. 183-233
-
-
Jordan, M.I.1
Ghahramani, Z.2
Jaakkola, T.S.3
Saul, L.K.4
-
25
-
-
84930643107
-
Semi-supervised learning with deep generative models
-
Diederik P Kingma, Shakir Mohamed, Danilo Jimenez Rezende, and Max Welling. Semi-supervised learning with deep generative models. In Advances in Neural Information Processing Systems, pp. 3581-3589, 2014.
-
(2014)
Advances in Neural Information Processing Systems
, pp. 3581-3589
-
-
Kingma, D.P.1
Mohamed, S.2
Rezende, D.J.3
Welling, M.4
-
29
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
33
-
-
80053455323
-
Inductive principles for restricted Boltzmann machine learning
-
Benjamin M Marlin, Kevin Swersky, Bo Chen, and Nando de Freitas. Inductive principles for restricted Boltzmann machine learning. In Proceedings of the 13th International Conference on Artificial Intelligence and Statistics, pp. 509-516, 2010.
-
(2010)
Proceedings of the 13th International Conference on Artificial Intelligence and Statistics
, pp. 509-516
-
-
Marlin, B.M.1
Swersky, K.2
Chen, B.3
De Freitas, N.4
-
37
-
-
44049116681
-
Connectionist learning of belief networks
-
Radford M. Neal. Connectionist learning of belief networks. Artificial Intelligence, 56(1):71-113, 1992.
-
(1992)
Artificial Intelligence
, vol.56
, Issue.1
, pp. 71-113
-
-
Neal, R.M.1
-
38
-
-
0029938380
-
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
-
Bruno A. Olshausen and David J. Field. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381(6583):607-609, 1996.
-
(1996)
Nature
, vol.381
, Issue.6583
, pp. 607-609
-
-
Olshausen, B.A.1
Field, D.J.2
-
41
-
-
33846519849
-
Building blocks for variational Bayesian learning of latent variable models
-
Tapani Raiko, Harri Valpola, Markus Harva, and Juha Karhunen. Building blocks for variational Bayesian learning of latent variable models. Journal of Machine Learning Research, 8:155-201, 2007.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 155-201
-
-
Raiko, T.1
Valpola, H.2
Harva, M.3
Karhunen, J.4
-
43
-
-
84965136229
-
Semi-supervised learning with ladder networks
-
Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, and Tapani Raiko. Semi-supervised learning with ladder networks. In Advances in Neural Information Processing Systems, pp. 3546-3554, 2015.
-
(2015)
Advances in Neural Information Processing Systems
, pp. 3546-3554
-
-
Rasmus, A.1
Berglund, M.2
Honkala, M.3
Valpola, H.4
Raiko, T.5
-
50
-
-
52949088587
-
Statistically optimal analysis of samples from multiple equilibrium states
-
Michael R. Shirts and John D. Chodera. Statistically optimal analysis of samples from multiple equilibrium states. The Journal of Chemical Physics, 129(12), 2008.
-
(2008)
The Journal of Chemical Physics
, vol.129
, Issue.12
-
-
Shirts, M.R.1
Chodera, J.D.2
-
51
-
-
0000329993
-
Information processing in dynamical systems: Foundations of harmony theory
-
D. E. Rumelhart and J. L. McClelland eds, chapter 6,. MIT Press, Cambridge
-
Paul Smolensky. Information processing in dynamical systems: Foundations of harmony theory. In D. E. Rumelhart and J. L. McClelland (eds.), Parallel Distributed Processing, volume 1, chapter 6, pp. 194-281. MIT Press, Cambridge, 1986.
-
(1986)
Parallel Distributed Processing
, vol.1
, pp. 194-281
-
-
Smolensky, P.1
-
52
-
-
85019264158
-
Ladder variational autoencoders
-
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, and Ole Winther. Ladder variational autoencoders. In Advances in Neural Information Processing Systems, pp. 3738-3746, 2016.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 3738-3746
-
-
Sønderby, C.K.1
Raiko, T.2
Maaløe, L.3
Sønderby, S.K.4
Winther, O.5
-
53
-
-
84986980101
-
Sequential updating of conditional probabilities on directed graphical structures
-
David J. Spiegelhalter and Steffen L. Lauritzen. Sequential updating of conditional probabilities on directed graphical structures. Networks, 20(5):579-605, 1990.
-
(1990)
Networks
, vol.20
, Issue.5
, pp. 579-605
-
-
Spiegelhalter, D.J.1
Lauritzen, S.L.2
-
54
-
-
84904163933
-
Dropout: A simple way to prevent neural networks from overfitting
-
Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. Dropout: A simple way to prevent neural networks from overfitting. Journal of Machine Learning Research, 15(1):1929-1958, 2014.
-
(2014)
Journal of Machine Learning Research
, vol.15
, Issue.1
, pp. 1929-1958
-
-
Srivastava, N.1
Hinton, G.E.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
55
-
-
35949020425
-
Replica Monte Carlo simulation of spin-glasses
-
Robert H. Swendsen and Jian-Sheng Wang. Replica Monte Carlo simulation of spin-glasses. Physical Review Letters, 57(21):2607, 1986.
-
(1986)
Physical Review Letters
, vol.57
, Issue.21
, pp. 2607
-
-
Swendsen, R.H.1
Wang, J.-S.2
-
56
-
-
56449086223
-
Training restricted Boltzmann machines using approximations to the likelihood gradient
-
Tijmen Tieleman. Training restricted Boltzmann machines using approximations to the likelihood gradient. In Proceedings of the 25th International Conference on Machine Learning, pp. 1064-1071. ACM, 2008.
-
(2008)
Proceedings of the 25th International Conference on Machine Learning
, pp. 1064-1071
-
-
Tieleman, T.1
-
58
-
-
0000337576
-
Simple statistical gradient-following algorithms for connectionist reinforcement learning
-
Ronald J. Williams. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning, 8(3-4):229-256, 1992.
-
(1992)
Machine Learning
, vol.8
, Issue.3-4
, pp. 229-256
-
-
Williams, R.J.1
|