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2023

  1. Lorenzo Mur-Labadia, José J. Guerrero and Ruben Martinez-Cantin (2023) Multi-label affordance mapping from egocentric vision. In Proc. of the IEEE/CVF International Conference on Computer Vision (ICCV).. (Project) (PDF) (BibTeX)
  2. Javier Rodriguez-Puigvert , Víctor M. Batlle, J. M. M. Montiel, Ruben Martinez-Cantin, Pascal Fua, Juan D. Tardos and Javier Civera (2023) LightDepth: Single-View Depth Self-Supervision from Illumination Decline. In Proc. of the IEEE/CVF International Conference on Computer Vision (ICCV).. (Project) (PDF) (BibTeX)
  3. David Morilla-Cabello*, Lorenzo Mur-Labadia*, Ruben Martinez-Cantin and Eduardo Montijano (2023) Robust Fusion for Bayesian Semantic Mapping. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).. (PDF) (BibTeX)
  4. Lorenzo Mur-Labadia, Ruben Martinez-Cantin and Jose J. Guerrero (2023) Bayesian deep learning for affordance segmentation in images. In Proc. of the IEEE International Conference on Robotics and Automation.. (PDF) (BibTeX)

2022

  1. Francisco Merino-Casallo, Maria Jose Gomez-Benito, Ruben Martinez-Cantin and Jose Manuel Garcia-Aznar (2022) A mechanistic protrusive-based model for 3D cell migration. European Journal of Cell Biology, 101(3):151255. (PDF) (BibTeX)
  2. Sanchez-Garcia, Melani, Morollon-Ruiz, Roberto, Martinez-Cantin, Ruben, Guerrero, Jose J. and Fernandez-Jover, Eduardo (2022) Assessing visual acuity in visual prostheses through a virtual-reality system. Technical report, arXiv:2205.10395. (PDF) (BibTeX)
  3. Javier Rodríguez-Puigvert and David Recasens, Javier Civera and Rubén Martinez-Cantín (2022) On the Uncertain Single-View Depths in Colonoscopies. In International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2022.. (Project) (PDF) (BibTeX)
  4. Javier Rodriguez-Puigvert, Ruben Martinez-Cantin and Javier Civera (2022) Bayesian Deep Neural Networks for Supervised Learning Single-View Depth. IEEE Robotics and Automation Letters, 7(2):2565-2572. (PDF) (BibTeX)

2021

  1. Lorenzo Mur-Labadia and Ruben Martinez-Cantin (2021) Bayesian prediction of affordances from images. In IROS 2021 Workshop on Egocentric vision for interactive perception, learning, and control.. (PDF) (BibTeX)
  2. Melani Sanchez-Garcia, Alejandro Perez-Yus, Ruben Martinez-Cantin and Jose J. Guerrero (2021) Augmented reality navigation system for visual prosthesis. Technical report, arXiv:2109.14957. (PDF) (BibTeX)
  3. Javier Garcia-Barcos and Ruben Martinez-Cantin (2021) Robust policy search for robot navigation. IEEE Robotics and Automation Letters, 6(2):2389-2396. (PDF) (BibTeX)

2020

  1. Melani Sanchez-Garcia, Ruben Martinez-Cantin, Jesus Bermudez-Cameo and Jose J. Guerrero (2020) Influence of field of view in visual prostheses design: Analysis with a VR system. Journal of Neural Engineering, 17(5):056002. (Project) (PDF) (BibTeX)
  2. Francisco Merino-Casallo, Maria Jose Gomez-Benito, Ruben Martinez-Cantin and Jose Manuel Garcia-Aznar (2020) Three-dimensional cell migration: an integrative approach.. In Virtual Physiological Human (VPH2020).. (BibTeX)
  3. Melani Sanchez-Garcia, Ruben Martinez-Cantin and Jose J. Guerrero (2020) Semantic and structural image segmentation for prosthetic vision. PLOS One, 15(1):e0227677. (Project) (PDF) (BibTeX)

2019

  1. Javier Garcia-Barcos and Ruben Martinez-Cantin (2019) Parallel robust Bayesian optimization with off-policy evaluations. In NeurIPS 2019 Workshop on Safety and Robustness in Decision Making.. (PDF) (BibTeX)
  2. Javier Garcia-Barcos and Ruben Martinez-Cantin (2019) Fully Distributed Bayesian Optimization with Stochastic Policies. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI-19}., pages 2357-2363. (PDF) (BibTeX)
  3. Melani Sanchez-Garcia, Ruben Martinez-Cantin and Jose J. Guerrero (2019) Indoor Scenes Understanding for Visual Prosthesis with Fully Convolutional Networks. In International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.. (PDF) (BibTeX)
  4. Ruben Martinez-Cantin (2019) Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems. IEEE Transactions on Cybernetics, 49(4):1489-1500. (PDF) (BibTeX)

2018

  1. Melani Sanchez-Garcia, Ruben Martinez-Cantin and Jose J. Guerrero (2018) Structural and object detection for phosphene images. Technical report, arXiv:1809.09607. (PDF) (BibTeX)
  2. Francisco Merino-Casallo, Maria Jose Gomez-Benito, Yago Juste-Lanas, Ruben Martinez-Cantin and Jose Manuel Garcia-Aznar (2018) Integration of in vitro and in silico models using Bayesian optimization with an application to stochastic modeling of mesenchymal 3D cell migration. Frontiers in Physiology, 9:1246. (PDF) (BibTeX)
  3. Francisco Merino-Casallo, Yago Juste-Lanas, Maria Jose Gomez-Benito, Ruben Martinez-Cantin and Jose Manuel Garcia-Aznar (2018) Calibrating a stochastic model of cell migration using image-based in vitro analysis and Bayesian optimization. In Virtual Physiological Human (VPH2018).. (BibTeX)
  4. Joao Castanheira, Pedro Vicente, Ruben Martinez-Cantin, Lorenzo Jamone and Alexandre Bernardino (2018) Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018).. (PDF) (BibTeX)
  5. Ruben Martinez-Cantin, Kevin Tee and Michael McCourt (2018) Practical Bayesian optimization in the presence of outliers. In International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 84., pages 1722-1731. (PDF) (BibTeX)

2017

  1. Ruben Martinez-Cantin, Michael McCourt, Kevin Tee and Katharina Eggensperger (2017) Filtering Outliers in Bayesian Optimization. In Neural Information Processing Systems (NIPS) Workshop on Bayesian optimization for science and engineering.. (PDF) (BibTeX)
  2. Ruben Martinez-Cantin, Kevin Tee and Michael McCourt (2017) Policy Search using Robust Bayesian Optimization. In Neural Information Processing Systems (NIPS) Workshop on Acting and Interacting in the Real World: Challenges in Robot Learning.. (PDF) (BibTeX)
  3. Kevin Tee, Michael McCourt, Ruben Martinez-Cantin, Ian Dewancker and Frank Liu (2017) Active Preference Learning for Personalized Portfolio Construction. In International Conference on Machine Learning Workshop: Human in the Loop Machine Learning.. (PDF) (BibTeX)
  4. Ruben Martinez-Cantin (2017) Bayesian Optimization with Adaptive Kernels for Robot Control. In Proc. of the IEEE International Conference on Robotics and Automation., pages 3350-3356. (PDF) (BibTeX)

2016

  1. David Izquierdo, Ruben Martinez-Cantin, José Antonio Altabás and Ignacio Garcés (2016) Transceptor de coste reducido basado en VCSEL para redes udWDM flexibles metropolitanas y de acceso. In IV Congreso Nacional de I+D en Defensa y Seguridad (DESEi+d 2016)., pages 437-443. (BibTeX)
  2. José Nogueira, Ruben Martinez-Cantin, Alexandre Bernardino and Lorenzo Jamone (2016) Unscented Bayesian Optimization for Safe Robot Grasping. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems.. (PDF) (BibTeX)

2015

  1. Ruben Martinez-Cantin (2015) Local Nonstationarity for Efficient Bayesian Optimization. Technical report, arXiv:1506.02080. (PDF) (BibTeX)
  2. Ruben Martinez-Cantin (2015) Locally-Biased Bayesian Optimization using Nonstationary Gaussian Processes. In Neural Information Processing Systems (NIPS) Workshop on Bayesian Optimization.. (PDF) (BibTeX)

2014

  1. Ruben Martinez-Cantin (2014) BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits. Journal of Machine Learning Research, 15:3735-3739. (Project) (PDF) (BibTeX)
  2. Ruben Martinez-Cantin, Danilo Tardioli, Alejandro Mosteo, Eduardo Montijano, David Izquierdo, Jorge Ortin and Javier Martín Amézaga (2014) SIRENA: Sistemas Resilientes No-tripulados y Autónomos, Equipos multi-robot adaptables a entornos hostiles. In II Congreso Nacional de i+d en Defensa y Seguridad (DESEi+d 2014).. (BibTeX)
  3. Ruben Martinez-Cantin (2014) BayesOpt: un nuevo paradigma para optimización de procesos, simulaciones, experimentos y planificaciones. In II Congreso Nacional de i+d en Defensa y Seguridad (DESEi+d 2014).. (BibTeX)

2013

  1. L. Dranca, M. Lozano, R. Martinez-Cantin, J.J. Pastor, M. Pelaez, J. Sancho, M. Torralva, R. Bailon, R. Trillo-Lado, L. A. Arcarazo, G. Barrios and M. Buatas (2013) Identificación de situaciones de estrés, privación de sueño y sobreentrenamiento mediante alteraciones en la variabilidad del ritmo cardiaco. In I Congreso Nacional de i+d en Defensa y Seguridad (DESEi+d 2013).. (BibTeX)
  2. Ruben Martinez-Cantin (2013) BayesOpt: A Library for Bayesian optimization with Robotics Applications. In Robotics: Science and Systems, Workshop on Active Learning in Robotics: Exploration, Curiosity, and Interaction, arXiv:1309.0671.. (Project) (PDF) (BibTeX)

2011

  1. Héctor Ratia, Luis Montesano and Ruben Martinez-Cantin (2011) On the Performance of Maximum Likelihood Inverse Reinforcement Learning. Technical report, arXiv:1202.1558. (PDF) (BibTeX)

2010

  1. Pedro Osório, Alexandre Bernardino, Ruben Martinez-Cantin and José Santos-Victor (2010) An EM Algorithm for Affordance Learning with Probabilistic Clustering. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Workshop on Probabilistic Graphical Models in Robotics (GraphBot).. (BibTeX)
  2. Ashish Jain, Ruben Martinez-Cantin, Alexandre Bernardino and José Santos-Victor (2010) Inference based Trajectory Optimization for Imitation based Grasping. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Workshop on Grasp Planning and Task Learning by Imitation.. (BibTeX)
  3. Pedro Osório, Alexandre Bernardino, Ruben Martinez-Cantin and José Santos-Victor (2010) Gaussian Mixture Models for Affordance Learning using Bayesian Networks. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems.. (PDF) (BibTeX)
  4. Ruben Martinez-Cantin, Manuel Lopes and Luis Montesano (2010) Body Schema Acquisition through Active Learning. In Proc. of the IEEE Int. Conf. on Robotics & Automation.. (PDF) (BibTeX)

2009

  1. Ruben Martinez-Cantin, Nando de Freitas, Eric Brochu, Jose Castellanos and Arnaud Doucet (2009) A Bayesian Exploration-Exploitation Approach for Optimal Online Sensing and Planning with a Visually Guided Mobile Robot. Autonomous Robots - Special Issue on Robot Learning, Part B, 27(3):93-103. (Project) (PDF) (BibTeX)
  2. Ruben Martinez-Cantin, Manuel Lopes and Luis Montesano (2009) Active Body Schema Learning. In Robotics: Science and Systems, Workshop on Regression in Robotics.. (PDF) (BibTeX)

2008

  1. Ruben Martinez-Cantin (2008) Active Map Learning for Robots: Insights into Statistical Consistency. PhD thesis, University of Zaragoza. (PDF) (BibTeX)

2007

  1. Jose Castellanos, Ruben Martinez-Cantin, Juan D. Tardos and Jose Neira (2007) Robocentric Map Joining: Improving the Consistency of EKF-SLAM. Robotics and Autonomous Systems, 55:21-29. (Project) (PDF) (BibTeX)
  2. Ruben Martinez-Cantin, Nando de Freitas, Jose Castellanos and Arnaud Doucet (2007) Active Policy Learning for Robot Planning and Exploration under Uncertainty. In Proc. of Robotics: Science and Systems.. (Project) (PDF) (BibTeX)
  3. Ruben Martinez-Cantin, Nando de Freitas and Jose Castellanos (2007) Multi-Robot Marginal-SLAM. In Proc. of the Int. Joint Conf. on Artificial Intelligence, Workshop on Multirobotic Systems for Societal Applications.. (PDF) (BibTeX)
  4. Ruben Martinez-Cantin, Nando de Freitas and Jose Castellanos (2007) Analysis of Particle Methods for Simultaneous Robot Localization and Mapping and a New Algorithm: Marginal-SLAM. In Proc. of the IEEE Int. Conf. on Robotics & Automation.. (PDF) (BibTeX)

2006

  1. Ruben Martinez-Cantin, Jose Castellanos, Juan D. Tardos and J.M.M. Montiel (2006) Adaptive Scale Robust Segmentation for 2D Laser Scanner. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems.. (PDF) (BibTeX)
  2. Ruben Martinez-Cantin and Jose Castellanos (2006) Bounding Uncertainty in EKF-SLAM: The Robocentric Local Approach. In Proc. of the IEEE Int. Conf. on Robotics & Automation., pages 430-435. (Project) (PDF) (BibTeX)

2005

  1. Josechu Guerrero, Ruben Martinez-Cantin and Carlos Sagues (2005) Visual Map-less Navigation based on Homographies. J. of Robotic Systems, 22(10):569-581. (Project) (PDF) (BibTeX)
  2. Ruben Martinez-Cantin and Jose Castellanos (2005) Unscented SLAM for Large-Scale Outdoor Environments. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems., pages 328-333. (PDF) (BibTeX)

2004

  1. Ruben Martinez-Cantin (2004) Bio-inspired multi-robot behavior for exploration in low gravity environments. In International Astronautical Federation - 55th International Astronautical Congress 2004., pages 6314-6320. (PDF) (BibTeX)

2003

  1. Ruben Martinez Cantin (2003) Moonhoppers Colony. In 54th International Astronautical Congress of the International Astronautical Federation, the International Academy of Astronautics, and the International Institute of Space Law. sep. American Institute of Aeronautics and Astronautics. (PDF) (BibTeX)

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