-
3
-
-
85162546041
-
Accelerated adaptive Markov chain for partition function computation
-
J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, and K. Weinberger, editors
-
S. Ermon, C. P. Gomes, A. Sabharwal, and B. Selman. Accelerated adaptive Markov chain for partition function computation. In J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, and K. Weinberger, editors, Advances in Neural Information Processing Systems 24, pages 2744-2752. 2011.
-
(2011)
Advances in Neural Information Processing Systems
, vol.24
, pp. 2744-2752
-
-
Ermon, S.1
Gomes, C.P.2
Sabharwal, A.3
Selman, B.4
-
6
-
-
79957966814
-
Riemannian manifold Hamiltonian Monte Carlo
-
M. Girolami, B. Calderhead, and S. A. Chin. Riemannian manifold Hamiltonian Monte Carlo. Journal of the Royal Statistical Society, B, 73(2):1-37, 2011.
-
(2011)
Journal of the Royal Statistical Society, B
, vol.73
, Issue.2
, pp. 1-37
-
-
Girolami, M.1
Calderhead, B.2
Chin, S.A.3
-
7
-
-
11644279337
-
Time-dependent statistics of the Ising model
-
R. J. Glauber. Time-dependent statistics of the Ising model. J. Math. Phys., 4:294-307, 1963.
-
(1963)
J. Math. Phys.
, vol.4
, pp. 294-307
-
-
Glauber, R.J.1
-
9
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
G. E. Hinton and R. R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 313:504-507, 2006.
-
(2006)
Science
, vol.313
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.R.2
-
10
-
-
32844459049
-
Calculation of partition functions
-
Jul. doi: 10.1103/PhysRevLett.3.77
-
J. Hubbard. Calculation of partition functions. Phys. Rev. Lett., 3:77-78, Jul 1959. doi: 10.1103/PhysRevLett.3.77. URL http://link.aps.org/doi/ 10.1103/PhysRevLett.3.77.
-
(1959)
Phys. Rev. Lett.
, vol.3
, pp. 77-78
-
-
Hubbard, J.1
-
11
-
-
84863393622
-
Bayesian inference for PCFGs via Markov chain Monte Carlo
-
M. Johnson, T. Griffiths, and S. Goldwater. Bayesian inference for PCFGs via Markov chain Monte Carlo. In HLT/NAACL, 2007.
-
(2007)
HLT/NAACL
-
-
Johnson, M.1
Griffiths, T.2
Goldwater, S.3
-
13
-
-
0040036935
-
Vector fields and neural networks
-
R. V. Mendes and J. T. Duarte. Vector fields and neural networks. Complex Systems, 6:21-30, 1992.
-
(1992)
Complex Systems
, vol.6
, pp. 21-30
-
-
Mendes, R.V.1
Duarte, J.T.2
-
14
-
-
33745612435
-
An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants
-
J. Møller, A. N. Pettitt, R. Reeves, and K. K. Berthelsen. An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants. Biometrika, 93(2):pp. 451-458, 2006.
-
(2006)
Biometrika
, vol.93
, Issue.2
, pp. 451-458
-
-
Møller, J.1
Pettitt, A.N.2
Reeves, R.3
Berthelsen, K.K.4
-
15
-
-
73249145640
-
Evaluating probabilities under high-dimensional latent variable models
-
D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors
-
I. Murray and R. Salakhutdinov. Evaluating probabilities under high-dimensional latent variable models. In D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors, Advances in Neural Information Processing Systems 21, pages 1137-1144. 2009.
-
(2009)
Advances in Neural Information Processing Systems
, vol.21
, pp. 1137-1144
-
-
Murray, I.1
Salakhutdinov, R.2
-
18
-
-
79251576558
-
MCMC using Hamiltonian dynamics
-
S. Brooks, A. Gelman, G. Jones, and X.-L. Meng, editors,. Chapman & Hall / CRC Press
-
R. M. Neal. MCMC using Hamiltonian dynamics. In S. Brooks, A. Gelman, G. Jones, and X.-L. Meng, editors, Handbook of Markov Chain Monte Carlo. Chapman & Hall / CRC Press, 2010.
-
(2010)
Handbook of Markov Chain Monte Carlo
-
-
Neal, R.M.1
-
21
-
-
0026298226
-
The Hamiltonian approach to neural networks dynamics
-
U. Ramacher. The Hamiltonian approach to neural networks dynamics. In Proc. IEEE JCNN, volume 3, 1991.
-
(1991)
Proc. IEEE JCNN
, vol.3
-
-
Ramacher, U.1
-
26
-
-
4243567381
-
Class of Hamiltonian neural networks
-
47
-
P. D. Wilde. Class of Hamiltonian neural networks. Physical Review E, 2:1392-1396, 47.
-
Physical Review e
, vol.2
, pp. 1392-1396
-
-
Wilde, P.D.1
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