Ruben Martinez-Cantin

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Coauteurs

Jose A. CastellanosProfessor of Systems Engineering and Automation, University of ZaragozaAdresse e-mail validée de unizar.es
Josechu GuerreroProfessor, I3A, Universidad de ZaragozaAdresse e-mail validée de unizar.es
Nando de FreitasCIFAR & DeepMindAdresse e-mail validée de google.com
Melani Sanchez-GarcíaUniversity of California, Santa BarbaraAdresse e-mail validée de ucsb.edu
Juan D. TardósProfessor of Computer Science, Universidad de Zaragoza, SpainAdresse e-mail validée de unizar.es
Arnaud DoucetGoogle DeepMindAdresse e-mail validée de google.com
Alexandre BernardinoInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaAdresse e-mail validée de isr.ist.utl.pt
Javier Garcia-BarcosPhD student, University of ZaragozaAdresse e-mail validée de unizar.es
Luis MontesanoBitBrain Technologies / Universidad de ZaragozaAdresse e-mail validée de unizar.es
Lorenzo Mur-LabadiaPhD student, University of ZaragozaAdresse e-mail validée de unizar.es
Michael MccourtResearch & Development, DistributionalAdresse e-mail validée de cornell.edu
Eric BrochuAdresse e-mail validée de salesforce.com
José Neira, Full Professor, IEEE FellowProfessor of Computer Science, Universidad de Zaragoza, SpainAdresse e-mail validée de unizar.es
Lorenzo JamoneAssociate Professor in Robotics & AI, University College London (UCL).Adresse e-mail validée de qmul.ac.uk
Javier CiveraUniversidad de Zaragoza, SpainAdresse e-mail validée de unizar.es
Javier Rodríguez-PuigvertUniversidad de ZaragozaAdresse e-mail validée de unizar.es
Francisco Merino-CasalloUniversidad de ZaragozaAdresse e-mail validée de unizar.es
José Manuel Garcia-AznarUniversity of ZaragozaAdresse e-mail validée de unizar.es
María José Gómez-BenitoAragon Institute of Engineering Research (I3A), University of ZaragozaAdresse e-mail validée de unizar.es
José Santos-VictorInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaAdresse e-mail validée de isr.tecnico.ulisboa.pt

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Ruben Martinez-Cantin

Associate Professor, University of Zaragoza, Spain

Adresse e-mail validée de unizar.es - Page d'accueil

Bayesian Optimization Machine Learning Robotics Computer Vision


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
BayesOpt: a Bayesian optimization library for nonlinear optimization, experimental design and bandits. R Martinez-Cantin J. Mach. Learn. Res. 15 (1), 3735-3739, 2014	405	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	319	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	295	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	221	2007
Unscented SLAM for large-scale outdoor environments R Martinez-Cantin, JA Castellanos 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005	212	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	93	2016
Semantic and structural image segmentation for prosthetic vision M Sanchez-Garcia, R Martinez-Cantin, JJ Guerrero Plos one 15 (1), e0227677, 2020	68	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	64	2018
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
Funneled Bayesian optimization for design, tuning and control of autonomous systems R Martinez-Cantin IEEE transactions on cybernetics 49 (4), 1489-1500, 2018	57	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
Bayesian optimization with adaptive kernels for robot control R Martinez-Cantin 2017 IEEE international conference on robotics and automation (ICRA), 3350-3356, 2017	48	2017
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
Bounding uncertainty in EKF-SLAM: The robocentric local approach R Martinez-Cantin, JA Castellanos Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006	39	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	30	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	25	2019
Fully Distributed Bayesian Optimization with Stochastic Policies J Garcia-Barcos, R Martinez-Cantin International Joint Conference on Artificial Intelligence, 2357-2363, 2019	24	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	19	2006
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	18	2018
Influence of field of view in visual prostheses design: Analysis with a VR system M Sanchez-Garcia, R Martinez-Cantin, J Bermudez-Cameo, JJ Guerrero Journal of Neural Engineering 17 (5), 056002, 2020	16	2020

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