Amos Storkey
Amos Storkey
Professor of Machine Learning and AI, School of Informatics, University of Edinburgh, UK
Verified email at ed.ac.uk
Title
Cited by
Cited by
Year
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
3772005
Data augmentation generative adversarial networks
A Antoniou, A Storkey, H Edwards
arXiv preprint arXiv:1711.04340, 2017
3212017
Exploration by random network distillation
Y Burda, H Edwards, A Storkey, O Klimov
arXiv preprint arXiv:1810.12894, 2018
2262018
Censoring Representations with an Adversary
H Edwards, A Storkey
Proceedings of ICLR and arXiv preprint arXiv:1511.05897, 2015
2262015
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
2102018
Towards a neural statistician
H Edwards, A Storkey
arXiv preprint arXiv:1606.02185, 2016
2022016
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
1832006
When training and test sets are different: characterizing learning transfer
A Storkey
Dataset shift in machine learning, 3-28, 2009
1682009
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
1502017
Training deep convolutional neural networks to play go
C Clark, A Storkey
arXiv:1412.3409, 2014, and Proceedings of the 32nd International Conference …, 2014
1282014
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
1202014
How to train your MAML
A Antoniou, H Edwards, A Storkey
arXiv preprint arXiv:1810.09502, 2018
1092018
The basins of attraction of a new Hopfield learning rule
AJ Storkey, R Valabregue
Neural Networks 12 (6), 869-876, 1999
1021999
Probabilistic inference for solving (PO)MDPs
M Toussaint, S Harmeling, A Storkey
School of Informatics Technical Report, 2006
922006
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
902011
Mixture regression for covariate shift
AJ Storkey, M Sugiyama
Advances in Neural Information Processing Systems, 1337-1344, 2006
89*2006
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
822013
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
782007
Increasing the capacity of a Hopfield network without sacrificing functionality
A Storkey
International Conference on Artificial Neural Networks, 451-456, 1997
621997
Modelling motion primitives and their timing in biologically executed movements
B Williams, M Toussaint, AJ Storkey
Advances in neural information processing systems, 1609-1616, 2008
592008
The system can't perform the operation now. Try again later.
Articles 1–20