Michaël Garcia Ortiz

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 28

Top Topics

Action Sequences

Reinforcement Learning

Partially Observable Environments

Boltzmann Machine

Top Venues

Publications

Bahar Irfan, Michaël Garcia Ortiz, Natalia Lyubova, Tony Belpaeme
Multi-modal Open World User Identification. ACM Trans. Hum. Robot Interact. 11 (1) (2022)
Vince Jankovics, Michaël Garcia Ortiz, Eduardo Alonso
Efficient entity-based reinforcement learning. CoRR (2022)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. IJCNN (2021)
Vince Jankovics, Michaël Garcia Ortiz, Eduardo Alonso
HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract). AAAI (2021)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
On the Sensory Commutativity of Action Sequences for Embodied Agents. AAMAS (2021)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences. CoRR (2021)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
Are standard Object Segmentation models sufficient for Learning Affordance Segmentation? CoRR (2021)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
On the Sensory Commutativity of Action Sequences for Embodied Agents. CoRR (2020)
Marc Moreaux, Michaël Garcia Ortiz, Isabelle Ferrané, Frédéric Lerasle
Benchmark for Kitchen20, a daily life dataset for audio-based human action recognition. CBMI (2019)
Alban Laflaquière, Michaël Garcia Ortiz
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction. NeurIPS (2019)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. CoRR (2019)
Alban Laflaquière, Michaël Garcia Ortiz
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction. CoRR (2019)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. NeurIPS (2019)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. CoRR (2019)
Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat
Generative Models from the perspective of Continual Learning. IJCNN (2019)
Alban Laflaquière, Nikolas Hemion, Michaël Garcia Ortiz, Jean-Christophe Baillie
Grounding Perception: A Developmental Approach to Sensorimotor Contingencies. CoRR (2018)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
Continual State Representation Learning for Reinforcement Learning using Generative Replay. CoRR (2018)
Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michaël Garcia Ortiz, David Filliat
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. CoRR (2018)
Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat
Generative Models from the perspective of Continual Learning. CoRR (2018)
Louis Annabi, Michaël Garcia Ortiz
State representation learning with recurrent capsule networks. CoRR (2018)
Thibaut Kulak, Michaël Garcia Ortiz
Representation Learning in Partially Observable Environments using Sensorimotor Prediction. CoRR (2018)
Michaël Garcia Ortiz, Alban Laflaquière
Learning Representations of Spatial Displacement through Sensorimotor Prediction. ICDL-EPIROB (2018)
Thibaut Kulak, Michaël Garcia Ortiz
Emergence of Sensory Representations Using Prediction in Partially Observable Environments. ICANN (2) (2018)
Michaël Garcia Ortiz, Alban Laflaquière
Learning Representations of Spatial Displacement through Sensorimotor Prediction. CoRR (2018)
Michaël Garcia Ortiz
Sensorimotor Prediction with Neural Networks on Continuous Spaces. ICANN (1) (2017)
Bruno Tailie, Michaël Garcia Ortiz
Separating inference from feature learning in deep unsupervised visual saliency estimation. IJCNN (2017)
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 (2016)
Alban Laflaquière, Michaël Garcia Ortiz, Ahmed Faraz Khan
Grounding the experience of a visual field through sensorimotor contingencies. ESANN (2016)
Michaël Garcia Ortiz, Jean-Christophe Baillie
Incremental training of Restricted Boltzmann Machines using information driven saccades. ICDL-EPIROB (2014)
Alexander Gepperth, Michaël Garcia Ortiz, Bernd Heisele
Real-time pedestrian detection and pose classification on a GPU. ITSC (2013)
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 (2012)
Michaël Garcia Ortiz, Franz Kummert, Jens Schmüdderich
Prediction of driver behavior on a limited sensory setting. ITSC (2012)
Michaël Garcia Ortiz, Jens Schmüdderich, Franz Kummert, Alexander R. T. Gepperth
Situation-specific learning for ego-vehicle behavior prediction systems. ITSC (2011)
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)
Michaël Garcia Ortiz, Benjamin Dittes, Jannik Fritsch, Alexander Rainer Tassilo Gepperth
Autonomous Generation of Internal Representations for Associative Learning. ICANN (3) (2010)