DW
David Warde-Farley
cs.LGstat.MLcs.AIAlgorithmscs.CVcs.NEBrain tumor segmentationCascaded convolutional neural networksConvolutional neural networkscs.LO
On Valency
published · living versionsW_47bn8c9k·v1 · currentpublished
W_mtjgk7mw·v1published
Preprints & journals
21 papers in the corpus · 2008–2024Neural Compression of Atmospheric States2407.11666v2 · Piotr Mirowski, David Warde-Farley, Mihaela Rosca et al.2024 · 0 citationsarXiv
Evaluating Model Bias Requires Characterizing its Mistakes2407.10633v1 · Isabela Albuquerque, Jessica Schrouff, David Warde-Farley et al.2024 · 0 citationsarXiv
Solving MaxSAT with Matrix Multiplication2311.02101v1 · David Warde-Farley, Vinod Nair, Yujia Li et al.2023 · 0 citationsarXiv
Learning more skills through optimistic exploration2107.14226v6 · DJ Strouse, Kate Baumli, David Warde-Farley et al.2021 · 12 citationsarXiv
Relative Variational Intrinsic Control2012.07827v1 · Kate Baumli, David Warde-Farley, Steven Hansen et al.2020 · 4 citationsarXiv
Q-Learning in enormous action spaces via amortized approximate maximization2001.08116v1 · Tom Van de Wiele, David Warde-Farley, Andriy Mnih et al.2020 · 28 citationsarXiv
Fast Task Inference with Variational Intrinsic Successor Features1906.05030v2 · Steven Hansen, Will Dabney, Andre Barreto et al.2019 · 57 citationsarXiv
Unsupervised Control Through Non-Parametric Discriminative Rewards1811.11359v1 · David Warde-Farley, Tom Van de Wiele, Tejas Kulkarni et al.2018 · 62 citationsarXiv
Variational Approaches for Auto-Encoding Generative Adversarial Networks1706.04987v2 · Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley et al.2017 · 220 citationsarXiv
Brain tumor segmentation with Deep Neural Networks.27310171 · Havaei, Mohammad, Davy, Axel, Warde-Farley, David et al.2018 · 3,275 citationsMedical image analysis. 2017;35:18-31
Blocks and Fuel: Frameworks for deep learning1506.00619v1 · Bart van Merrienboer, Dzmitry Bahdanau, Vincent Dumoulin et al.2015 · 117 citationsarXiv
Generative Adversarial Networks1406.2661v1 · Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza et al.2014 · 4,475 citationsarXiv
An empirical analysis of dropout in piecewise linear networks1312.6197v2 · David Warde-Farley, Ian J. Goodfellow, Aaron Courville et al.2013 · 72 citationsarXiv
Pylearn2: a machine learning research library1308.4214v1 · Ian J. Goodfellow, David Warde-Farley, Pascal Lamblin et al.2013 · 215 citationsarXiv
Maxout Networks1302.4389v4 · Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza et al.2013 · 934 citationsJMLR WCP 28 (3): 1319-1327, 2013on Valency
Theano: new features and speed improvements1211.5590v1 · Fr'ed'eric Bastien, Pascal Lamblin, Razvan Pascanu et al.2012 · 1,005 citationsarXivon Valency
Mixture model for sub-phenotyping in GWAS.22174291 · Warde-Farley, David, Brudno, Michael, Morris, Quaid et al.2013 · 8 citationsPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 2012:363-74
The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function.20576703 · Warde-Farley, David, Donaldson, Sylva L, Comes, Ovi et al.2010 · 4,827 citationsNucleic acids research. 2010;38(Web Server issue):W214-20
Dynamic modularity in protein interaction networks predicts breast cancer outcome.19182785 · Taylor, Ian W, Linding, Rune, Warde-Farley, David et al.2009 · 697 citationsNature biotechnology. 2009;27(2):199-204
A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.18613946 · Peña-Castillo, Lourdes, Tasan, Murat, Myers, Chad L et al.2008 · 248 citationsGenome biology. 2008;9 Suppl 1:S2
GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function.18613948 · Mostafavi, Sara, Ray, Debajyoti, Warde-Farley, David et al.2008 · 1,059 citationsGenome biology. 2008;9 Suppl 1:S4
Career total: 60 works. 21 are in this corpus.
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