Ruben Martinez-Cantin

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Jose A. CastellanosProfessor of Systems Engineering and Automation, University of ZaragozaVerified email at unizar.es
Josechu GuerreroProfessor, I3A, Universidad de ZaragozaVerified email at unizar.es
Nando de FreitasCIFAR & DeepMindVerified email at google.com
Melani Sanchez-GarcíaUniversity of California, Santa BarbaraVerified email at ucsb.edu
Juan D. TardósProfessor of Computer Science, Universidad de Zaragoza, SpainVerified email at unizar.es
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at google.com
Alexandre BernardinoInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaVerified email at isr.ist.utl.pt
Lorenzo Mur-LabadiaPhD student, University of ZaragozaVerified email at unizar.es
Michael MccourtResearch & Development, DistributionalVerified email at cornell.edu
Javier Garcia-BarcosPhD student, University of ZaragozaVerified email at unizar.es
Luis MontesanoBitBrain Technologies / Universidad de ZaragozaVerified email at unizar.es
Eric BrochuVerified email at salesforce.com
José NeiraProfessor of Computer Science, Universidad de Zaragoza, SpainVerified email at unizar.es
Lorenzo JamoneSenior Lecturer (Associate Professor), Robotics, ARQ @ Queen Mary University of London.Verified email at qmul.ac.uk
Javier CiveraUniversidad de Zaragoza, SpainVerified email at unizar.es
Javier Rodríguez-PuigvertUniversidad de ZaragozaVerified email at unizar.es
Francisco Merino-CasalloUniversidad de ZaragozaVerified email at unizar.es
José Manuel Garcia-AznarUniversity of ZaragozaVerified email at unizar.es
María José Gómez-BenitoUniversity of ZaragozaVerified email at unizar.es
José Santos-VictorInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaVerified email at isr.tecnico.ulisboa.pt

Ruben Martinez-Cantin

Associate Professor, University of Zaragoza, Spain

Verified email at unizar.es - Homepage

Bayesian Optimization Machine Learning Robotics Computer Vision


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BayesOpt: a Bayesian optimization library for nonlinear optimization, experimental design and bandits. R Martinez-Cantin J. Mach. Learn. Res. 15 (1), 3735-3739, 2014	387	2014
A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot R Martinez-Cantin, N De Freitas, E Brochu, J Castellanos, A Doucet Autonomous Robots 27, 93-103, 2009	310	2009
Robocentric map joining: Improving the consistency of EKF-SLAM JA Castellanos, R Martinez-Cantin, JD Tardós, J Neira Robotics and autonomous systems 55 (1), 21-29, 2007	290	2007
Active policy learning for robot planning and exploration under uncertainty. R Martinez-Cantin, N de Freitas, A Doucet, JA Castellanos Robotics: Science and systems 3, 321-328, 2007	216	2007
Unscented SLAM for large-scale outdoor environments R Martinez-Cantin, JA Castellanos 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005	210	2005
Unscented Bayesian optimization for safe robot grasping J Nogueira, R Martinez-Cantin, A Bernardino, L Jamone 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016	87	2016
Analysis of particle methods for simultaneous robot localization and mapping and a new algorithm: Marginal-SLAM R Martinez-Cantin, N de Freitas, JA Castellanos Proceedings 2007 IEEE international conference on robotics and automation …, 2007	63	2007
Semantic and structural image segmentation for prosthetic vision M Sanchez-Garcia, R Martinez-Cantin, JJ Guerrero Plos one 15 (1), e0227677, 2020	61	2020
Practical Bayesian optimization in the presence of outliers R Martinez-Cantin, K Tee, M McCourt International conference on artificial intelligence and statistics, 1722-1731, 2018	61	2018
Funneled Bayesian optimization for design, tuning and control of autonomous systems R Martinez-Cantin IEEE transactions on cybernetics 49 (4), 1489-1500, 2018	54	2018
Body schema acquisition through active learning R Martinez-Cantin, M Lopes, L Montesano 2010 IEEE international conference on robotics and automation, 1860-1866, 2010	53	2010
Visual map‐less navigation based on homographies JJ Guerrero, R Martinez‐Cantin, C Sagüés Journal of Robotic Systems 22 (10), 569-581, 2005	44	2005
Bayesian optimization with adaptive kernels for robot control R Martinez-Cantin 2017 IEEE international conference on robotics and automation (ICRA), 3350-3356, 2017	40	2017
Bounding uncertainty in EKF-SLAM: The robocentric local approach R Martinez-Cantin, JA Castellanos Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006	38	2006
Integration of in vitro and in silico Models Using Bayesian Optimization With an Application to Stochastic Modeling of Mesenchymal 3D Cell Migration F Merino-Casallo, MJ Gomez-Benito, Y Juste-Lanas, R Martinez-Cantin, ... Frontiers in physiology 9, 1246, 2018	27	2018
Indoor Scenes Understanding for Visual Prosthesis with Fully Convolutional Networks. M Sanchez-Garcia, R Martinez-Cantin, JJ Guerrero Visigrapp (5: Visapp), 218-225, 2019	24	2019
Fully Distributed Bayesian Optimization with Stochastic Policies J Garcia-Barcos, R Martinez-Cantin International Joint Conference on Artificial Intelligence, 2357-2363, 2019	19	2019
Adaptive scale robust segmentation for 2D laser scanner R Martinez-Cantin, JA Castellanos, JD Tardos, JMM Montiel 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006	18	2006
Gaussian mixture models for affordance learning using bayesian networks P Osório, A Bernardino, R Martinez-Cantin, J Santos-Victor 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010	16	2010
Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty J Castanheira, P Vicente, R Martinez-Cantin, L Jamone, A Bernardino 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018	15	2018

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