Amos Storkey - Google Scholar

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Harrison EdwardsOpenAIZweryfikowany adres z openai.com
Antreas AntoniouUniversity of EdinburghZweryfikowany adres z sms.ed.ac.uk
Jonathan D. ClaydenLecturer in Neuroimaging and Biophysics, UCL GOS Institute of Child Health, University CollegeZweryfikowany adres z ucl.ac.uk
Krzysztof J. GorgolewskiGoogle LLCZweryfikowany adres z google.com
Cyril PernetSenior Academic Fellow, University of EdinburghZweryfikowany adres z ed.ac.uk
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyZweryfikowany adres z informatik.uni-stuttgart.de
Chris WilliamsProfessor of Machine Learning, University of EdinburghZweryfikowany adres z inf.ed.ac.uk
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARZweryfikowany adres z umontreal.ca
Susana Muñoz ManiegaResearch Fellow, University of EdinburghZweryfikowany adres z ed.ac.uk
David P. ReichertGoogle DeepMindZweryfikowany adres z google.com
Romain ValabregueCENIR ICMZweryfikowany adres z upmc.fr
Peggy SerièsSenior Lecturer in Informatics, University EdinburghZweryfikowany adres z inf.ed.ac.uk
Stephen LawrieProfessor of Psychiatry, University of EdinburghZweryfikowany adres z ed.ac.uk
Andrew DaiGoogle BrainZweryfikowany adres z google.com
Lawrence MurrayUber AIZweryfikowany adres z uber.com
Stefan HarmelingProfessor at Heinrich-Heine-Universität DüsseldorfZweryfikowany adres z hhu.de
Zoubin GhahramaniProfessor, University of Cambridge, and Chief Scientist, UberZweryfikowany adres z eng.cam.ac.uk
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoZweryfikowany adres z k.u-tokyo.ac.jp
Alan BundyProfessor of Automated Reasoning, University of EdinburghZweryfikowany adres z ed.ac.uk
Krzysztof J. GerasNew York UniversityZweryfikowany adres z nyu.edu

Amos Storkey

Professor of Machine Learning and AI, School of Informatics, University of Edinburgh, UK

Zweryfikowany adres z ed.ac.uk

Deep Learning Machine Learning Bayesian Methods Prediction Markets diffusion MRI


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	378	2005
Data augmentation generative adversarial networks A Antoniou, A Storkey, H Edwards arXiv preprint arXiv:1711.04340, 2017	320	2017
Exploration by random network distillation Y Burda, H Edwards, A Storkey, O Klimov arXiv preprint arXiv:1810.12894, 2018	225	2018
Censoring Representations with an Adversary H Edwards, A Storkey Proceedings of ICLR and arXiv preprint arXiv:1511.05897, 2015	224	2015
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	208	2018
Towards a neural statistician H Edwards, A Storkey arXiv preprint arXiv:1606.02185, 2016	201	2016
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	183	2006
When training and test sets are different: characterizing learning transfer A Storkey Dataset shift in machine learning, 3-28, 2009	167	2009
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	150	2017
Training deep convolutional neural networks to play go C Clark, A Storkey arXiv:1412.3409, 2014, and Proceedings of the 32nd International Conference …, 2014	128	2014
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	119	2014
How to train your MAML A Antoniou, H Edwards, A Storkey arXiv preprint arXiv:1810.09502, 2018	108	2018
The basins of attraction of a new Hopfield learning rule AJ Storkey, R Valabregue Neural Networks 12 (6), 869-876, 1999	102	1999
Probabilistic inference for solving (PO)MDPs M Toussaint, S Harmeling, A Storkey School of Informatics Technical Report, 2006	92	2006
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	90	2011
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	82	2013
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	78	2007
Increasing the capacity of a Hopfield network without sacrificing functionality A Storkey International Conference on Artificial Neural Networks, 451-456, 1997	62	1997
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	59	2008

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