David Warde-Farley
David Warde-Farley
Senior Research Scientist, DeepMind
Verified email at google.com - Homepage
TitleCited byYear
Generative adversarial nets
I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ...
Advances in neural information processing systems, 2672-2680, 2014
67852014
Theano: A CPU and GPU Math Compiler in Python
J Bergstra, O Breuleux, F Bastien, P Lamblin, R Pascanu, G Desjardins, ...
SciPy 2010, 0
2008*
Maxout networks
IJ Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio
arXiv preprint arXiv:1302.4389, 2013
14172013
The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function
D Warde-Farley, SL Donaldson, O Comes, K Zuberi, R Badrawi, P Chao, ...
Nucleic acids research 38 (suppl_2), W214-W220, 2010
12742010
Theano: new features and speed improvements
F Bastien, P Lamblin, R Pascanu, J Bergstra, I Goodfellow, A Bergeron, ...
arXiv preprint arXiv:1211.5590, 2012
12262012
Dynamic modularity in protein interaction networks predicts breast cancer outcome
IW Taylor, R Linding, D Warde-Farley, Y Liu, C Pesquita, D Faria, S Bull, ...
Nature biotechnology 27 (2), 199, 2009
6592009
Brain tumor segmentation with deep neural networks
M Havaei, A Davy, D Warde-Farley, A Biard, A Courville, Y Bengio, C Pal, ...
Medical image analysis 35, 18-31, 2017
5992017
GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function
S Mostafavi, D Ray, D Warde-Farley, C Grouios, Q Morris
Genome biology 9 (1), S4, 2008
5822008
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint, 2016
3402016
Pylearn2: a machine learning research library
IJ Goodfellow, D Warde-Farley, P Lamblin, V Dumoulin, M Mirza, ...
arXiv preprint arXiv:1308.4214, 2013
2662013
A critical assessment of Mus musculus gene function prediction using integrated genomic evidence
L Peña-Castillo, M Tasan, CL Myers, H Lee, T Joshi, C Zhang, Y Guan, ...
Genome biology 9 (1), S2, 2008
2432008
Combining modality specific deep neural networks for emotion recognition in video
SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ...
Proceedings of the 15th ACM on International conference on multimodal …, 2013
1762013
Theano: Deep Learning on GPUs with Python
J Bergstra, F Bastien, O Breuleux, P Lamblin, R Pascanu, O Delalleau, ...
"Big Learning" Workshop, NIPS 2011, 2011
1702011
Emonets: Multimodal deep learning approaches for emotion recognition in video
SE Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, K Konda, ...
Journal on Multimodal User Interfaces 10 (2), 99-111, 2016
1422016
Unsupervised and transfer learning challenge: a deep learning approach
G Mesnil, Y Dauphin, X Glorot, S Rifai, Y Bengio, I Goodfellow, E Lavoie, ...
Proceedings of the 2011 International Conference on Unsupervised and …, 2011
1392011
Blocks and fuel: Frameworks for deep learning
B Van Merriënboer, D Bahdanau, V Dumoulin, D Serdyuk, ...
arXiv preprint arXiv:1506.00619, 2015
1382015
Variational approaches for auto-encoding generative adversarial networks
M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed
arXiv preprint arXiv:1706.04987, 2017
722017
Improving generative adversarial networks with denoising feature matching
D Warde-Farley, Y Bengio
482016
11 adversarial perturbations of deep neural networks
D Warde-Farley, I Goodfellow
Perturbations, Optimization, and Statistics, 311, 2016
432016
An empirical analysis of dropout in piecewise linear networks
D Warde-Farley, IJ Goodfellow, A Courville, Y Bengio
arXiv preprint arXiv:1312.6197, 2013
422013
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Articles 1–20