Chris Russell

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Brent MittelstadtProfessor of Data Ethics and Policy, University of OxfordVerified email at oii.ox.ac.uk
Sandra WachterProfessor of Technology and Regulation, University of OxfordVerified email at oii.ox.ac.uk
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Lourdes AgapitoProfessor, University College LondonVerified email at cs.ucl.ac.uk
Lubor LadickyETH ZurichVerified email at inf.ethz.ch
Pushmeet KohliDeepMindVerified email at google.com
Matt J. KusnerUniversity College LondonVerified email at ucl.ac.uk
Joshua LoftusLondon School of EconomicsVerified email at lse.ac.uk
Ricardo SilvaProfessor of Statistical Machine Learning and Data Science, Department of Statistical Science, UCLVerified email at stats.ucl.ac.uk
Richard BowdenProfessor of Computer Vision and Machine Learning, CVSSP, University of SurreyVerified email at surrey.ac.uk
Stephen Lawuniversity college london / alan turing instituteVerified email at turing.ac.uk
Francesco LocatelloAssistant Professor, ISTAVerified email at ista.ac.at
Matthäus KleindessnerAmazon AWS TübingenVerified email at amazon.com
Brooks PaigeAssociate Professor, University College LondonVerified email at ucl.ac.uk
Andrew ElliottLecturer, Department of Maths and Statistics, University of GlasgowVerified email at turing.ac.uk
Simon HadfieldCentre For Vision Speech and Signal Processing, University of SurreyVerified email at surrey.ac.uk
Avishkar SahaMireloAIVerified email at mirelo.ai
Rui YuUniversity College LondonVerified email at cs.ucl.ac.uk
Oscar MendezAssistant Professor in Robotics and Artificial Intelligence, University of SurreyVerified email at oscarmendez.co.uk
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de

Chris Russell

Associate Professor, University of Oxford

Verified email at oii.ox.ac.uk - Homepage

Ethical Machine Learning Computer Vision Optimisation Ethical AI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR S Wachter, B Mittelstadt, C Russell Harvard Journal of Law & Technology 31 (2), 2018	3057	2018
Counterfactual fairness MJ Kusner, J Loftus, C Russell, R Silva Advances in neural information processing systems 30, 2017	2031	2017
Explaining explanations in AI B Mittelstadt, C Russell, S Wachter Proceedings of the conference on fairness, accountability, and transparency …, 2019	856	2019
Associative hierarchical crfs for object class image segmentation L Ladicky, C Russell, P Kohli, PHS Torr Computer Vision, 2009 IEEE 12th International Conference on, 739-746, 2009	828	2009
Veegan: Reducing mode collapse in gans using implicit variational learning A Srivastava, L Valkov, C Russell, MU Gutmann, C Sutton Advances in neural information processing systems 30, 2017	810	2017
Lifting from the deep: Convolutional 3d pose estimation from a single image D Tome, C Russell, L Agapito Proceedings of the IEEE conference on computer vision and pattern …, 2017	626	2017
Graph cut based inference with co-occurrence statistics L Ladicky, C Russell, P Kohli, P Torr Computer Vision–ECCV 2010, 239-253, 2010	445	2010
What, where and how many? combining object detectors and crfs Ľ Ladický, P Sturgess, K Alahari, C Russell, PHS Torr Computer Vision–ECCV 2010, 424-437, 2010	425	2010
Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI S Wachter, B Mittelstadt, C Russell Computer Law & Security Review 41, 105567, 2021	358	2021
Efficient search for diverse coherent explanations C Russell Proceedings of the conference on fairness, accountability, and transparency …, 2019	269	2019
Take a look around: using street view and satellite images to estimate house prices S Law, B Paige, C Russell ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-19, 2019	247	2019
Joint optimization for object class segmentation and dense stereo reconstruction L Ladický, P Sturgess, C Russell, S Sengupta, Y Bastanlar, W Clocksin, ... International Journal of Computer Vision 100, 122-133, 2012	238	2012
When worlds collide: integrating different counterfactual assumptions in fairness C Russell, MJ Kusner, J Loftus, R Silva Advances in neural information processing systems 30, 2017	212	2017
Looking beyond the image: Unsupervised learning for object saliency and detection P Siva, C Russell, T Xiang, L Agapito Proceedings of the IEEE conference on computer vision and pattern …, 2013	202	2013
Bias preservation in machine learning: the legality of fairness metrics under EU non-discrimination law S Wachter, B Mittelstadt, C Russell W. Va. L. Rev. 123, 735, 2021	194	2021
Seasonal Arctic sea ice forecasting with probabilistic deep learning TR Andersson, JS Hosking, M Pérez-Ortiz, B Paige, A Elliott, C Russell, ... Nature communications 12 (1), 5124, 2021	181	2021
F-formation detection: Individuating free-standing conversational groups in images F Setti, C Russell, C Bassetti, M Cristani PloS one 10 (5), e0123783, 2015	177	2015
Causal reasoning for algorithmic fairness JR Loftus, C Russell, MJ Kusner, R Silva arXiv preprint arXiv:1805.05859, 2018	165	2018
In Defence of Negative Mining for Annotating Weakly Labelled Data P Siva, C Russell, T Xiang ECCV, 2012	160	2012
Translating images into maps A Saha, O Mendez, C Russell, R Bowden 2022 International conference on robotics and automation (ICRA), 9200-9206, 2022	149	2022

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