Autonomous Generation of Internal Representations for Associative Learning. - Michaël Garcia Ortiz; Benjamin Dittes; Jannik Fritsch; Alexander Rainer Tassilo Gepperth (ICANN (3), 2010)

Situation-specific learning for ego-vehicle behavior prediction systems. - Michaël Garcia Ortiz; Jens Schmüdderich; Franz Kummert; Alexander R. T. Gepperth (ITSC, 2011)

Behavior prediction at multiple time-scales in inner-city scenarios. - Michaël Garcia Ortiz; Jannik Fritsch; Franz Kummert; Alexander Rainer Tassilo Gepperth (Intelligent Vehicles Symposium, 2011)

Prediction of driver behavior on a limited sensory setting. - Michaël Garcia Ortiz; Franz Kummert; Jens Schmüdderich (ITSC, 2012)

The contribution of context information: A case study of object recognition in an intelligent car. - Alexander Rainer Tassilo Gepperth; Benjamin Dittes; Michaël Garcia Ortiz (Neurocomputing, 2012)

Real-time pedestrian detection and pose classification on a GPU. - Alexander Gepperth; Michaël Garcia Ortiz; Bernd Heisele (ITSC, 2013)

Incremental training of Restricted Boltzmann Machines using information driven saccades. - Michaël Garcia Ortiz; Jean-Christophe Baillie (ICDL-EPIROB, 2014)

Prediction of driver behavior - Michaël Garcia Ortiz (2014)

Grounding the experience of a visual field through sensorimotor contingencies. - Alban Laflaquière; Michaël Garcia Ortiz; Ahmed Faraz Khan (ESANN, 2016)

Dynamic attention priors: a new and efficient concept for improving object detection. - Alexander Rainer Tassilo Gepperth; Michaël Garcia Ortiz; Egor Sattarov; Bernd Heisele (Neurocomputing, 2016)

Sensorimotor Prediction with Neural Networks on Continuous Spaces. - Michaël Garcia Ortiz (ICANN (1), 2017)

Separating inference from feature learning in deep unsupervised visual saliency estimation. - Bruno Tailie; Michaël Garcia Ortiz (IJCNN, 2017)

Emergence of Sensory Representations Using Prediction in Partially Observable Environments. - Thibaut Kulak; Michaël Garcia Ortiz (ICANN (2), 2018)

Learning Representations of Spatial Displacement through Sensorimotor Prediction. - Michaël Garcia Ortiz; Alban Laflaquière (ICDL-EPIROB, 2018)

Representation Learning in Partially Observable Environments using Sensorimotor Prediction. - Thibaut Kulak; Michaël Garcia Ortiz (CoRR, 2018)

Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. - Hugo Caselles-Dupré; Louis Annabi; Oksana Hagen; Michaël Garcia Ortiz; David Filliat (CoRR, 2018)

Grounding Perception: A Developmental Approach to Sensorimotor Contingencies. - Alban Laflaquière; Nikolas Hemion; Michaël Garcia Ortiz; Jean-Christophe Baillie (CoRR, 2018)

Continual State Representation Learning for Reinforcement Learning using Generative Replay. - Hugo Caselles-Dupré; Michaël Garcia Ortiz; David Filliat (CoRR, 2018)

State representation learning with recurrent capsule networks. - Louis Annabi; Michaël Garcia Ortiz (CoRR, 2018)

Benchmark for Kitchen20, a daily life dataset for audio-based human action recognition. - Marc Moreaux; Michaël Garcia Ortiz; Isabelle Ferrané; Frédéric Lerasle (CBMI, 2019)

Generative Models from the perspective of Continual Learning. - Timothée Lesort; Hugo Caselles-Dupré; Michaël Garcia Ortiz; Andrei Stoian; David Filliat (IJCNN, 2019)

Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. - Hugo Caselles-Dupré; Michaël Garcia Ortiz; David Filliat (NeurIPS, 2019)

Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction. - Alban Laflaquière; Michaël Garcia Ortiz (NeurIPS, 2019)

HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract). - Vince Jankovics; Michaël Garcia Ortiz; Eduardo Alonso (AAAI, 2021)

On the Sensory Commutativity of Action Sequences for Embodied Agents. - Hugo Caselles-Dupré; Michaël Garcia Ortiz; David Filliat (AAMAS, 2021)

S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. - Hugo Caselles-Dupré; Michaël Garcia Ortiz; David Filliat (IJCNN, 2021)

SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences. - Hugo Caselles-Dupré; Michaël Garcia Ortiz; David Filliat (CoRR, 2021)

Are standard Object Segmentation models sufficient for Learning Affordance Segmentation? - Hugo Caselles-Dupré; Michaël Garcia Ortiz; David Filliat (CoRR, 2021)

Efficient entity-based reinforcement learning. - Vince Jankovics; Michaël Garcia Ortiz; Eduardo Alonso (CoRR, 2022)

Multi-modal Open World User Identification. - Bahar Irfan; Michaël Garcia Ortiz; Natalia Lyubova; Tony Belpaeme (ACM Trans. Hum. Robot Interact., 2022)