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ORCIDMichaël Garcia Ortiz
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2020 – today
- 2022
[j3]Bahar Irfan
, Michaël Garcia Ortiz, Natalia Lyubova, Tony Belpaeme:
Multi-modal Open World User Identification. ACM Trans. Hum. Robot Interact. 11(1): 6:1-6:50 (2022)- [i14]Vince Jankovics, Michaël Garcia Ortiz, Eduardo Alonso:
Efficient entity-based reinforcement learning. CoRR abs/2206.02855 (2022) - 2021
- [c18]Vince Jankovics, Michaël Garcia Ortiz, Eduardo Alonso:
HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract). AAAI 2021: 15803-15804 - [c17]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
On the Sensory Commutativity of Action Sequences for Embodied Agents. AAMAS 2021: 1472-1474 - [c16]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. IJCNN 2021: 1-7 - [i13]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences. CoRR abs/2107.02069 (2021) - [i12]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Are standard Object Segmentation models sufficient for Learning Affordance Segmentation? CoRR abs/2107.02095 (2021) - 2020
- [i11]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
On the Sensory Commutativity of Action Sequences for Embodied Agents. CoRR abs/2002.05630 (2020)
2010 – 2019
- 2019
- [c15]Marc Moreaux, Michaël Garcia Ortiz, Isabelle Ferrané, Frédéric Lerasle:
Benchmark for Kitchen20, a daily life dataset for audio-based human action recognition. CBMI 2019: 1-6 - [c14]Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat:
Generative Models from the perspective of Continual Learning. IJCNN 2019: 1-8 - [c13]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. NeurIPS 2019: 4608-4617 - [c12]Alban Laflaquière, Michaël Garcia Ortiz:
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction. NeurIPS 2019: 7156-7166 - [i10]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. CoRR abs/1902.09434 (2019) - [i9]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. CoRR abs/1904.00243 (2019) - [i8]Alban Laflaquière, Michaël Garcia Ortiz:
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction. CoRR abs/1906.01401 (2019) - 2018
- [c11]Thibaut Kulak, Michaël Garcia Ortiz:
Emergence of Sensory Representations Using Prediction in Partially Observable Environments. ICANN (2) 2018: 489-498 - [c10]Michaël Garcia Ortiz, Alban Laflaquière:
Learning Representations of Spatial Displacement through Sensorimotor Prediction. ICDL-EPIROB 2018: 7-12 - [i7]Thibaut Kulak, Michaël Garcia Ortiz:
Representation Learning in Partially Observable Environments using Sensorimotor Prediction. CoRR abs/1803.00268 (2018) - [i6]Michaël Garcia Ortiz, Alban Laflaquière:
Learning Representations of Spatial Displacement through Sensorimotor Prediction. CoRR abs/1805.06250 (2018) - [i5]Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michaël Garcia Ortiz, David Filliat:
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. CoRR abs/1809.00510 (2018) - [i4]Alban Laflaquière, Nikolas Hemion, Michaël Garcia Ortiz, Jean-Christophe Baillie:
Grounding Perception: A Developmental Approach to Sensorimotor Contingencies. CoRR abs/1810.01870 (2018) - [i3]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Continual State Representation Learning for Reinforcement Learning using Generative Replay. CoRR abs/1810.03880 (2018) - [i2]Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat:
Generative Models from the perspective of Continual Learning. CoRR abs/1812.09111 (2018) - [i1]Louis Annabi, Michaël Garcia Ortiz:
State representation learning with recurrent capsule networks. CoRR abs/1812.11202 (2018) - 2017
- [c9]Michaël Garcia Ortiz:
Sensorimotor Prediction with Neural Networks on Continuous Spaces. ICANN (1) 2017: 76-83 - [c8]Bruno Tailie, Michaël Garcia Ortiz:
Separating inference from feature learning in deep unsupervised visual saliency estimation. IJCNN 2017: 1195-1201 - 2016
- [j2]Alexander Rainer Tassilo Gepperth, Michaël Garcia Ortiz, Egor Sattarov, Bernd Heisele:
Dynamic attention priors: a new and efficient concept for improving object detection. Neurocomputing 197: 14-28 (2016) - [c7]Alban Laflaquière, Michaël Garcia Ortiz, Ahmed Faraz Khan:
Grounding the experience of a visual field through sensorimotor contingencies. ESANN 2016 - 2014
- [b1]Michaël Garcia Ortiz:
Prediction of driver behavior. Bielefeld University, Germany, 2014 - [c6]Michaël Garcia Ortiz, Jean-Christophe Baillie:
Incremental training of Restricted Boltzmann Machines using information driven saccades. ICDL-EPIROB 2014: 325-330 - 2013
- [c5]Alexander Gepperth, Michaël Garcia Ortiz, Bernd Heisele:
Real-time pedestrian detection and pose classification on a GPU. ITSC 2013: 348-353 - 2012
- [j1]Alexander Rainer Tassilo Gepperth, Benjamin Dittes, Michaël Garcia Ortiz:
The contribution of context information: A case study of object recognition in an intelligent car. Neurocomputing 94: 77-86 (2012) - [c4]Michaël Garcia Ortiz, Franz Kummert, Jens Schmüdderich:
Prediction of driver behavior on a limited sensory setting. ITSC 2012: 638-643 - 2011
- [c3]Michaël Garcia Ortiz, Jens Schmüdderich, Franz Kummert, Alexander R. T. Gepperth:
Situation-specific learning for ego-vehicle behavior prediction systems. ITSC 2011: 1237-1242 - [c2]Michaël Garcia Ortiz, Jannik Fritsch, Franz Kummert, Alexander Rainer Tassilo Gepperth:
Behavior prediction at multiple time-scales in inner-city scenarios. Intelligent Vehicles Symposium 2011: 1068-1073 - 2010
- [c1]Michaël Garcia Ortiz, Benjamin Dittes, Jannik Fritsch, Alexander Rainer Tassilo Gepperth:
Autonomous Generation of Internal Representations for Associative Learning. ICANN (3) 2010: 247-256
Coauthor Index
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