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Items where City Author is "Garcia-Ortiz, Michael"

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Number of items: 8.

Article

Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 (2017). Sensorimotor Prediction with Neural Networks on Continuous Spaces. Lecture Notes in Computer Science, 10613, pp. 76-83. doi: 10.1007/978-3-319-68600-4_10

Gepperth, Alexander R. T., Garcia Ortiz, M. ORCID: 0000-0003-4729-7457, Sattarov, E. and Heisele, B. (2016). Dynamic attention priors: a new and efficient concept for improving object detection. Neurocomputing, 197, pp. 14-28. doi: 10.1016/j.neucom.2016.01.036

Conference or Workshop Item

Caselles-Dupré, H., Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 and Filliat, D. (2019). Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. Paper presented at the Workshop on Structure & Priors in Reinforcement Learning - ICLR 2019, 6 May 2019, New Orleans, USA.

Caselles-Dupré, H., Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 and Filliat, D. (2018). Continual State Representation Learning for Reinforcement Learning using Generative Replay. Paper presented at the Workshop on Continual Learning, NeurIPS 2018- 32nd Conference on Neural Information Processing Systems, 07 December 2018, Montreal, Canada.

Garcia Ortiz, M. ORCID: 0000-0003-4729-7457, Lesort, T., Caselles-Dupré, H., Goudou, J-F. and Filliat, D. (2018). Generative Models from the perspective of Continual Learning. Paper presented at the Workshop on Continual Learning, NeurIPS 2018 - 32nd Conference on Neural Information Processing Systems, 07 December 2018, Montreal, Canada.

Annabi, L. and Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 (2018). State representation learning with recurrent capsule networks. Paper presented at the Workshop on Modeling the Physical World: Perception, Learning, and Control, NeurIPS 2018 - 32nd Conference on Neural Information Processing Systems, 07 Dec 2018, Montreal, Canada.

Kulak, T. and Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 (2018). Emergence of Sensory Representations Using Prediction in Partially Observable Environments. In: Artificial Neural Networks and Machine Learning – ICANN 2018. Lecture Notes in Computer Science, 11140. (pp. 489-498). Springer. ISBN 978-3-030-01420-9

Caselles-Dupré, H., Annabi, L., Hagen, O., Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 and Filliat, D. (2018). Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. Paper presented at the Workshop on Continual Unsupervised Sensorimotor Learning - ICDL-Epirob 2018, 17 September 2018, Tokyo, Japan.

This list was generated on Sun Dec 8 04:33:15 2019 UTC.