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Laflaquiere, A. and Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 (2019).
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction.
Advances in Neural Information Processing Systems 32 (NIPS 2019),
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
Garcia Ortiz, M. ORCID: 0000-0003-4729-7457, Lesort, T., Caselles-Dupré, H., Goudou, J-F. and Filliat, D. (2019).
Generative Models from the perspective of Continual Learning.
Proceedings of the International Joint Conference on Neural Networks,
pp. 1-8.
doi: 10.1109/IJCNN.2019.8851986
ISSN 2161-4393
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 Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), 8-14 Dec 2019, Vancouver, Canada.
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.
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.