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Items: 35

1.

Modeling natural images using gated MRFs.

Ranzato M, Mnih V, Susskind JM, Hinton GE.

IEEE Trans Pattern Anal Mach Intell. 2013 Sep;35(9):2206-22. doi: 10.1109/TPAMI.2013.29.

PMID:
23868780
2.

Machine learning for neuroscience.

Hinton GE.

Neural Syst Circuits. 2011 Aug 15;1(1):12. doi: 10.1186/2042-1001-1-12. No abstract available.

3.

Comparing classification methods for longitudinal fMRI studies.

Schmah T, Yourganov G, Zemel RS, Hinton GE, Small SL, Strother SC.

Neural Comput. 2010 Nov;22(11):2729-62. doi: 10.1162/NECO_a_00024.

PMID:
20804386
4.

Learning to represent spatial transformations with factored higher-order Boltzmann machines.

Memisevic R, Hinton GE.

Neural Comput. 2010 Jun;22(6):1473-92. doi: 10.1162/neco.2010.01-09-953.

PMID:
20141471
5.

Learning to represent visual input.

Hinton GE.

Philos Trans R Soc Lond B Biol Sci. 2010 Jan 12;365(1537):177-84. doi: 10.1098/rstb.2009.0200. Review.

6.

Deep, narrow sigmoid belief networks are universal approximators.

Sutskever I, Hinton GE.

Neural Comput. 2008 Nov;20(11):2629-36. doi: 10.1162/neco.2008.12-07-661.

PMID:
18533819
7.

Glove-TalkII--a neural-network interface which maps gestures to parallel formant speech synthesizer controls.

Fels SS, Hinton GE.

IEEE Trans Neural Netw. 1998;9(1):205-12. doi: 10.1109/72.655042.

PMID:
18252442
8.

To recognize shapes, first learn to generate images.

Hinton GE.

Prog Brain Res. 2007;165:535-47. Review.

PMID:
17925269
9.

Learning multiple layers of representation.

Hinton GE.

Trends Cogn Sci. 2007 Oct;11(10):428-34. Review.

PMID:
17921042
10.

Reducing the dimensionality of data with neural networks.

Hinton GE, Salakhutdinov RR.

Science. 2006 Jul 28;313(5786):504-7.

11.

A fast learning algorithm for deep belief nets.

Hinton GE, Osindero S, Teh YW.

Neural Comput. 2006 Jul;18(7):1527-54.

PMID:
16764513
12.

Topographic product models applied to natural scene statistics.

Osindero S, Welling M, Hinton GE.

Neural Comput. 2006 Feb;18(2):381-414.

PMID:
16378519
13.

Probabilistic sequential independent components analysis.

Welling M, Zemel RS, Hinton GE.

IEEE Trans Neural Netw. 2004 Jul;15(4):838-49.

PMID:
15461077
14.

Training products of experts by minimizing contrastive divergence.

Hinton GE.

Neural Comput. 2002 Aug;14(8):1771-800.

PMID:
12180402
15.

Computation by neural networks.

Hinton GE.

Nat Neurosci. 2000 Nov;3 Suppl:1170. No abstract available.

PMID:
11127833
16.

SMEM algorithm for mixture models.

Ueda N, Nakano R, Ghahramani Z, Hinton GE.

Neural Comput. 2000 Sep;12(9):2109-28.

PMID:
10976141
17.

Variational learning for switching state-space models.

Ghahramani Z, Hinton GE.

Neural Comput. 2000 Apr;12(4):831-64.

PMID:
10770834
18.

Variational learning in nonlinear gaussian belief networks.

Frey BJ, Hinton GE.

Neural Comput. 1999 Jan 1;11(1):193-213.

PMID:
9950729
19.

Cascaded redundancy reduction.

de Sa VR, Hinton GE.

Network. 1998 Feb;9(1):73-84.

PMID:
9861979
20.

Generative models for discovering sparse distributed representations.

Hinton GE, Ghahramani Z.

Philos Trans R Soc Lond B Biol Sci. 1997 Aug 29;352(1358):1177-90.

21.
22.

Modeling the manifolds of images of handwritten digits.

Hinton GE, Dayan P, Revow M.

IEEE Trans Neural Netw. 1997;8(1):65-74.

PMID:
18255611
23.

Varieties of Helmholtz Machine.

Hinton GE, Dayan P.

Neural Netw. 1996 Nov;9(8):1385-1403.

PMID:
12662541
24.

The Helmholtz machine.

Dayan P, Hinton GE, Neal RM, Zemel RS.

Neural Comput. 1995 Sep;7(5):889-904.

PMID:
7584891
25.

The "wake-sleep" algorithm for unsupervised neural networks.

Hinton GE, Dayan P, Frey BJ, Neal RM.

Science. 1995 May 26;268(5214):1158-61.

PMID:
7761831
26.

Simulating brain damage.

Hinton GE, Plaut DC, Shallice T.

Sci Am. 1993 Oct;269(4):76-82. Review. No abstract available.

PMID:
8235551
27.

Glove-Talk: a neural network interface between a data-glove and a speech synthesizer.

Fels SS, Hinton GE.

IEEE Trans Neural Netw. 1993;4(1):2-8.

PMID:
18267698
28.

How neural networks learn from experience.

Hinton GE.

Sci Am. 1992 Sep;267(3):144-51. No abstract available.

PMID:
1502516
29.

Self-organizing neural network that discovers surfaces in random-dot stereograms.

Becker S, Hinton GE.

Nature. 1992 Jan 9;355(6356):161-3.

PMID:
1729650
30.

Lesioning an attractor network: investigations of acquired dyslexia.

Hinton GE, Shallice T.

Psychol Rev. 1991 Jan;98(1):74-95. Review.

PMID:
2006233
31.

Scene-based and viewer-centered representations for comparing shapes.

Hinton GE, Parsons LM.

Cognition. 1988 Oct;30(1):1-35. No abstract available.

PMID:
3180702
32.

The horizontal-vertical delusion.

Hinton GE.

Perception. 1987;16(5):677-80.

PMID:
3451195
33.

Separating figure from ground with a parallel network.

Kienker PK, Sejnowski TJ, Hinton GE, Schumacher LE.

Perception. 1986;15(2):197-216.

PMID:
3774489
34.

Why the islands move.

Hutchins E, Hinton GE.

Perception. 1984;13(5):629-32.

PMID:
6535986
35.

Parallel visual computation.

Ballard DH, Hinton GE, Sejnowski TJ.

Nature. 1983 Nov 3-9;306(5938):21-6.

PMID:
6633656

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