Michaël Garcia Ortiz
According to our database1,
Michaël Garcia Ortiz
authored at least 30 papers
between 2010 and 2022.
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Bibliography
2022
2021
Are standard Object Segmentation models sufficient for Learning Affordance Segmentation?
CoRR, 2021
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences.
CoRR, 2021
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Benchmark for Kitchen20, a daily life dataset for audio-based human action recognition.
Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019
2018
Continual State Representation Learning for Reinforcement Learning using Generative Replay.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Representation Learning in Partially Observable Environments using Sensorimotor Prediction.
CoRR, 2018
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018
Emergence of Sensory Representations Using Prediction in Partially Observable Environments.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
Separating inference from feature learning in deep unsupervised visual saliency estimation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
2016
Dynamic attention priors: a new and efficient concept for improving object detection.
Neurocomputing, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2014
Incremental training of Restricted Boltzmann Machines using information driven saccades.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014
2013
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013
2012
The contribution of context information: A case study of object recognition in an intelligent car.
Neurocomputing, 2012
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012
2011
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011
2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010