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Items: 45

1.

Gated Orthogonal Recurrent Units: On Learning to Forget.

Jing L, Gulcehre C, Peurifoy J, Shen Y, Tegmark M, Soljacic M, Bengio Y.

Neural Comput. 2019 Apr;31(4):765-783. doi: 10.1162/neco_a_01174. Epub 2019 Feb 14.

PMID:
30764742
2.

Equivalence of Equilibrium Propagation and Recurrent Backpropagation.

Scellier B, Bengio Y.

Neural Comput. 2019 Feb;31(2):312-329. doi: 10.1162/neco_a_01160. Epub 2018 Dec 21.

PMID:
30576611
3.

Deep convolutional networks for quality assessment of protein folds.

Derevyanko G, Grudinin S, Bengio Y, Lamoureux G.

Bioinformatics. 2018 Dec 1;34(23):4046-4053. doi: 10.1093/bioinformatics/bty494.

PMID:
29931128
4.

Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes.

Gulcehre C, Chandar S, Cho K, Bengio Y.

Neural Comput. 2018 Apr;30(4):857-884. doi: 10.1162/neco_a_01060. Epub 2018 Jan 30.

PMID:
29381440
5.

Use machine learning to find energy materials.

De Luna P, Wei J, Bengio Y, Aspuru-Guzik A, Sargent E.

Nature. 2017 Dec 7;552(7683):23-27. doi: 10.1038/d41586-017-07820-6. No abstract available.

PMID:
29219978
6.

Learning normalized inputs for iterative estimation in medical image segmentation.

Drozdzal M, Chartrand G, Vorontsov E, Shakeri M, Di Jorio L, Tang A, Romero A, Bengio Y, Pal C, Kadoury S.

Med Image Anal. 2018 Feb;44:1-13. doi: 10.1016/j.media.2017.11.005. Epub 2017 Nov 14.

PMID:
29169029
7.

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation.

Scellier B, Bengio Y.

Front Comput Neurosci. 2017 May 4;11:24. doi: 10.3389/fncom.2017.00024. eCollection 2017.

8.

Drawing and Recognizing Chinese Characters with Recurrent Neural Network.

Zhang XY, Yin F, Zhang YM, Liu CL, Bengio Y.

IEEE Trans Pattern Anal Mach Intell. 2018 Apr;40(4):849-862. doi: 10.1109/TPAMI.2017.2695539. Epub 2017 Apr 18.

PMID:
28436845
9.

STDP-Compatible Approximation of Backpropagation in an Energy-Based Model.

Bengio Y, Mesnard T, Fischer A, Zhang S, Wu Y.

Neural Comput. 2017 Mar;29(3):555-577. doi: 10.1162/NECO_a_00934. Epub 2017 Jan 17.

PMID:
28095200
10.

Brain tumor segmentation with Deep Neural Networks.

Havaei M, Davy A, Warde-Farley D, Biard A, Courville A, Bengio Y, Pal C, Jodoin PM, Larochelle H.

Med Image Anal. 2017 Jan;35:18-31. doi: 10.1016/j.media.2016.05.004. Epub 2016 May 19.

PMID:
27310171
11.

Machines Who Learn.

Bengio Y.

Sci Am. 2016 Jun;314(6):46-51. doi: 10.1038/scientificamerican0616-46. No abstract available.

PMID:
27196842
12.

The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions.

Courville A, Desjardins G, Bergstra J, Bengio Y.

IEEE Trans Pattern Anal Mach Intell. 2014 Sep;36(9):1874-87. doi: 10.1109/TPAMI.2013.238.

PMID:
26352238
13.

Deep learning.

LeCun Y, Bengio Y, Hinton G.

Nature. 2015 May 28;521(7553):436-44. doi: 10.1038/nature14539. Review.

PMID:
26017442
14.

Challenges in representation learning: a report on three machine learning contests.

Goodfellow IJ, Erhan D, Luc Carrier P, Courville A, Mirza M, Hamner B, Cukierski W, Tang Y, Thaler D, Lee DH, Zhou Y, Ramaiah C, Feng F, Li R, Wang X, Athanasakis D, Shawe-Taylor J, Milakov M, Park J, Ionescu R, Popescu M, Grozea C, Bergstra J, Xie J, Romaszko L, Xu B, Chuang Z, Bengio Y.

Neural Netw. 2015 Apr;64:59-63. doi: 10.1016/j.neunet.2014.09.005. Epub 2014 Dec 29.

PMID:
25613956
15.

Editorial introduction to the Neural Networks special issue on Deep Learning of Representations.

Bengio Y, Lee H.

Neural Netw. 2015 Apr;64:1-3. doi: 10.1016/j.neunet.2014.12.006. Epub 2014 Dec 15. No abstract available.

PMID:
25595998
16.

Conditioning and time representation in long short-term memory networks.

Rivest F, Kalaska JF, Bengio Y.

Biol Cybern. 2014 Feb;108(1):23-48. doi: 10.1007/s00422-013-0575-1. Epub 2013 Nov 21.

PMID:
24258005
17.

Scaling up spike-and-slab models for unsupervised feature learning.

Goodfellow IJ, Courville A, Bengio Y.

IEEE Trans Pattern Anal Mach Intell. 2013 Aug;35(8):1902-14. doi: 10.1109/TPAMI.2012.273.

PMID:
23787343
18.

Representation learning: a review and new perspectives.

Bengio Y, Courville A, Vincent P.

IEEE Trans Pattern Anal Mach Intell. 2013 Aug;35(8):1798-828. doi: 10.1109/TPAMI.2013.50. Review.

PMID:
23787338
19.

Suitability of V1 energy models for object classification.

Bergstra J, Bengio Y, Louradour J.

Neural Comput. 2011 Mar;23(3):774-90. doi: 10.1162/NECO_a_00084. Epub 2010 Dec 16.

PMID:
21162668
20.

Tractable multivariate binary density estimation and the restricted Boltzmann forest.

Larochelle H, Bengio Y, Turian J.

Neural Comput. 2010 Sep 1;22(9):2285-307. doi: 10.1162/NECO_a_00014.

PMID:
20569177
21.

Alternative time representation in dopamine models.

Rivest F, Kalaska JF, Bengio Y.

J Comput Neurosci. 2010 Feb;28(1):107-30. doi: 10.1007/s10827-009-0191-1. Epub 2009 Oct 22.

PMID:
19847635
22.

A hybrid pareto mixture for conditional asymmetric fat-tailed distributions.

Carreau J, Bengio Y.

IEEE Trans Neural Netw. 2009 Jul;20(7):1087-101. doi: 10.1109/TNN.2009.2016339. Epub 2009 May 26.

PMID:
19473936
23.

Justifying and generalizing contrastive divergence.

Bengio Y, Delalleau O.

Neural Comput. 2009 Jun;21(6):1601-21. doi: 10.1162/neco.2008.11-07-647.

PMID:
19018704
24.

Adaptive importance sampling to accelerate training of a neural probabilistic language model.

Bengio Y, Senecal JS.

IEEE Trans Neural Netw. 2008 Apr;19(4):713-22. doi: 10.1109/TNN.2007.912312.

PMID:
18390314
25.

Representational power of restricted boltzmann machines and deep belief networks.

Le Roux N, Bengio Y.

Neural Comput. 2008 Jun;20(6):1631-49. doi: 10.1162/neco.2008.04-07-510.

PMID:
18254699
26.

Cost functions and model combination for VaR-based asset allocation using neural networks.

Chapados N, Bengio Y.

IEEE Trans Neural Netw. 2001;12(4):890-906. doi: 10.1109/72.935098.

PMID:
18249920
27.

Taking on the curse of dimensionality in joint distributions using neural networks.

Bengio S, Bengio Y.

IEEE Trans Neural Netw. 2000;11(3):550-7. doi: 10.1109/72.846725.

PMID:
18249784
28.

Experiments on the application of IOHMMs to model financial returns series.

Bengio Y, Lauzon VP, Ducharme R.

IEEE Trans Neural Netw. 2001;12(1):113-23. doi: 10.1109/72.896800.

PMID:
18244367
29.

Bias learning, knowledge sharing.

Ghosn J, Bengio Y.

IEEE Trans Neural Netw. 2003;14(4):748-65. doi: 10.1109/TNN.2003.810608.

PMID:
18238057
30.

On the challenge of learning complex functions.

Bengio Y.

Prog Brain Res. 2007;165:521-34. Review.

PMID:
17925268
31.

Nonlocal estimation of manifold structure.

Bengio Y, Monperrus M, Larochelle H.

Neural Comput. 2006 Oct;18(10):2509-28.

PMID:
16907635
32.

Collaborative filtering on a family of biological targets.

Erhan D, L'heureux PJ, Yue SY, Bengio Y.

J Chem Inf Model. 2006 Mar-Apr;46(2):626-35.

PMID:
16562992
33.

Selective small molecule peptidomimetic ligands of TrkC and TrkA receptors afford discrete or complete neurotrophic activities.

Zaccaro MC, Lee HB, Pattarawarapan M, Xia Z, Caron A, L'Heureux PJ, Bengio Y, Burgess K, Saragovi HU.

Chem Biol. 2005 Sep;12(9):1015-28.

34.

Locally linear embedding for dimensionality reduction in QSAR.

L'Heureux PJ, Carreau J, Bengio Y, Delalleau O, Yue SY.

J Comput Aided Mol Des. 2004 Jul-Sep;18(7-9):475-82.

PMID:
15729847
35.

Learning eigenfunctions links spectral embedding and kernel PCA.

Bengio Y, Delalleau O, Le Roux N, Paiement JF, Vincent P, Ouimet M.

Neural Comput. 2004 Oct;16(10):2197-219.

PMID:
15333211
36.

Robust regression with asymmetric heavy-tail noise distributions.

Takeuchi I, Bengio Y, Kanamori T.

Neural Comput. 2002 Oct;14(10):2469-96.

PMID:
12396571
37.

A parallel mixture of SVMs for very large scale problems.

Collobert R, Bengio S, Bengio Y.

Neural Comput. 2002 May;14(5):1105-14.

PMID:
11972909
38.

Gradient-based optimization of hyperparameters.

Bengio Y.

Neural Comput. 2000 Aug;12(8):1889-900.

PMID:
10953243
39.

Boosting neural networks.

Schwenk H, Bengio Y.

Neural Comput. 2000 Aug;12(8):1869-87.

PMID:
10953242
40.

Using a financial training criterion rather than a prediction criterion.

Bengio Y.

Int J Neural Syst. 1997 Aug;8(4):433-43.

PMID:
9730019
41.

Input-output HMMs for sequence processing.

Bengio Y, Frasconi P.

IEEE Trans Neural Netw. 1996;7(5):1231-49.

PMID:
18263517
42.

LeRec: a NN/HMM hybrid for on-line handwriting recognition.

Bengio Y, LeCun Y, Nohl C, Burges C.

Neural Comput. 1995 Nov;7(6):1289-303.

PMID:
7584903
43.

Learning long-term dependencies with gradient descent is difficult.

Bengio Y, Simard P, Frasconi P.

IEEE Trans Neural Netw. 1994;5(2):157-66.

PMID:
18267787
44.

Global optimization of a neural network-hidden Markov model hybrid.

Bengio Y, De Mori R, Flammia G, Kompe R.

IEEE Trans Neural Netw. 1992;3(2):252-9.

PMID:
18276426
45.

Efficient recognition of immunoglobulin domains from amino acid sequences using a neural network.

Bengio Y, Pouliot Y.

Comput Appl Biosci. 1990 Oct;6(4):319-24.

PMID:
2257492

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