Amos Storkey
Amos Storkey
Professor of Machine Learning and AI, School of Informatics, University of Edinburgh, UK
Zweryfikowany adres z ed.ac.uk
TytułCytowane przezRok
The pascal visual object classes (voc) challenge
M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman
International journal of computer vision 88 (2), 303-338, 2010
9776*2010
The 2005 pascal visual object classes challenge
M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ...
Machine Learning Challenges Workshop, 117-176, 2005
2762005
Data augmentation generative adversarial networks
A Antoniou, A Storkey, H Edwards
arXiv preprint arXiv:1711.04340, 2017
2092017
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
M Toussaint, A Storkey
Proceedings of the 23rd international conference on Machine learning, 945-952, 2006
1712006
Censoring Representations with an Adversary
H Edwards, A Storkey
Proceedings of ICLR and arXiv preprint arXiv:1511.05897, 2015
1662015
Towards a neural statistician
H Edwards, A Storkey
arXiv preprint arXiv:1606.02185, 2016
1622016
Training deep convolutional neural networks to play go
C Clark, A Storkey
arXiv:1412.3409, 2014, and Proceedings of the 32nd International Conference …, 2014
1602014
Large-scale study of curiosity-driven learning
Y Burda, H Edwards, D Pathak, A Storkey, T Darrell, AA Efros
arXiv preprint arXiv:1808.04355, 2018
1362018
When training and test sets are different: characterizing learning transfer
A Storkey
Dataset shift in machine learning, 3-28, 2009
1352009
Exploration by random network distillation
Y Burda, H Edwards, A Storkey, O Klimov
arXiv preprint arXiv:1810.12894, 2018
1182018
Test–retest reliability of structural brain networks from diffusion MRI
CR Buchanan, CR Pernet, KJ Gorgolewski, AJ Storkey, ME Bastin
Neuroimage 86, 231-243, 2014
1052014
Three factors influencing minima in sgd
S Jastrzębski, Z Kenton, D Arpit, N Ballas, A Fischer, Y Bengio, A Storkey
arXiv preprint arXiv:1711.04623, 2017
1032017
The basins of attraction of a new Hopfield learning rule
AJ Storkey, R Valabregue
Neural Networks 12 (6), 869-876, 1999
991999
Probabilistic inference for solving (PO)MDPs
M Toussaint, S Harmeling, A Storkey
School of Informatics Technical Report, 2006
912006
TractoR: magnetic resonance imaging and tractography with R
JD Clayden, SM Maniega, AJ Storkey, MD King, ME Bastin, CA Clark
Journal of Statistical Software 44 (8), 1-18, 2011
842011
Mixture regression for covariate shift
AJ Storkey, M Sugiyama
Advances in Neural Information Processing Systems, 1337-1344, 2006
80*2006
A probabilistic model-based approach to consistent white matter tract segmentation
JD Clayden, AJ Storkey, ME Bastin
IEEE transactions on medical imaging 26 (11), 1555-1561, 2007
762007
Single subject fMRI test–retest reliability metrics and confounding factors
KJ Gorgolewski, AJ Storkey, ME Bastin, I Whittle, C Pernet
Neuroimage 69, 231-243, 2013
732013
Hallucinations in Charles Bonnet syndrome induced by homeostasis: a deep Boltzmann machine model
P Series, DP Reichert, AJ Storkey
Advances in Neural Information Processing Systems, 2020-2028, 2010
572010
Image modeling with position-encoding dynamic trees
AJ Storkey, CKL Williams
Pattern Analysis and Machine Intelligence, IEEE Transactions on 25 (7), 859-871, 2003
572003
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