Amos Storkey - Cytowania w Google Scholar

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	Wszystkie	Od 2015
Cytowania	13732	9870
h-indeks	35	28
i10-indeks	71	52

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Chris WilliamsProfessor of Machine Learning, University of EdinburghZweryfikowany adres z inf.ed.ac.uk
Harrison EdwardsOpenAIZweryfikowany adres z openai.com
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, University of Stuttgart, GermanyZweryfikowany adres z informatik.uni-stuttgart.de
Antreas AntoniouUniversity of EdinburghZweryfikowany adres z sms.ed.ac.uk
Yoshua BengioProfessor, University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNCZweryfikowany adres z mila.quebec
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
S LawrieProfessor of Psychiatry, University of EdinburghZweryfikowany adres z ed.ac.uk
Lawrence MurrayUber AIZweryfikowany adres z uber.com
Andrew DaiGoogle BrainZweryfikowany adres z google.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	Cytowane przez	Rok
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	276	2005
Data augmentation generative adversarial networks A Antoniou, A Storkey, H Edwards arXiv preprint arXiv:1711.04340, 2017	209	2017
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	171	2006
Censoring Representations with an Adversary H Edwards, A Storkey Proceedings of ICLR and arXiv preprint arXiv:1511.05897, 2015	166	2015
Towards a neural statistician H Edwards, A Storkey arXiv preprint arXiv:1606.02185, 2016	162	2016
Training deep convolutional neural networks to play go C Clark, A Storkey arXiv:1412.3409, 2014, and Proceedings of the 32nd International Conference …, 2014	160	2014
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	136	2018
When training and test sets are different: characterizing learning transfer A Storkey Dataset shift in machine learning, 3-28, 2009	135	2009
Exploration by random network distillation Y Burda, H Edwards, A Storkey, O Klimov arXiv preprint arXiv:1810.12894, 2018	118	2018
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	105	2014
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	103	2017
The basins of attraction of a new Hopfield learning rule AJ Storkey, R Valabregue Neural Networks 12 (6), 869-876, 1999	99	1999
Probabilistic inference for solving (PO)MDPs M Toussaint, S Harmeling, A Storkey School of Informatics Technical Report, 2006	91	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	84	2011
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	76	2007
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	73	2013
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	57	2010
Image modeling with position-encoding dynamic trees AJ Storkey, CKL Williams Pattern Analysis and Machine Intelligence, IEEE Transactions on 25 (7), 859-871, 2003	57	2003

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