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David Warde-Farley
David Warde-Farley
Staff Research Scientist at Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Generative adversarial networks
I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ...
Advances in Neural Information Processing Systems 27, 2014
760592014
Generative adversarial networks
I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ...
Communications of the ACM 63 (11), 139-144, 2020
135182020
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
43372010
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
37412017
Maxout networks
I Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio
International conference on machine learning, 1319-1327, 2013
32262013
Theano: a CPU and GPU math expression compiler
J Bergstra, O Breuleux, F Bastien, P Lamblin, R Pascanu, G Desjardins, ...
Proceedings of the Python for scientific computing conference (SciPy) 4 (3), 1-7, 2010
20332010
Theano: new features and speed improvements
F Bastien, P Lamblin, R Pascanu, J Bergstra, I Goodfellow, A Bergeron, ...
arXiv preprint arXiv:1211.5590, 2012
17042012
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, 1-15, 2008
10772008
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv e-prints, arXiv: 1605.02688, 2016
9322016
Theano: A CPU and GPU Math Compiler in Python
J Bergstra, O Breuleux, F Bastien, P Lamblin, R Pascanu, G Desjardins, ...
SciPy 2010, 0
872*
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), 199-204, 2009
8702009
& Bengio, Y.(2020). Generative adversarial networks
I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair
Communications of the ACM 63 (11), 139-144, 0
646
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, 99-111, 2016
5232016
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
4442013
Generative adversarial networks (2014)
IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ...
arXiv preprint arXiv:1406.2661 1406, 2019
3722019
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
3692011
Pylearn2: a machine learning research library
IJ Goodfellow, D Warde-Farley, P Lamblin, V Dumoulin, M Mirza, ...
arXiv preprint arXiv:1308.4214, 2013
3662013
Variational approaches for auto-encoding generative adversarial networks
M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed
arXiv preprint arXiv:1706.04987, 2017
3332017
A critical assessment of Mus musculusgene function prediction using integrated genomic evidence
L Peña-Castillo, M Tasan, CL Myers, H Lee, T Joshi, C Zhang, Y Guan, ...
Genome biology 9, 1-19, 2008
2982008
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 ICML Workshop on Unsupervised and Transfer Learning, 97-110, 2012
2972012
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