Michaël Garcia Ortiz

According to our database1, Michaël Garcia Ortiz authored at least 28 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2022
Efficient entity-based reinforcement learning.
CoRR, 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

On the Sensory Commutativity of Action Sequences for Embodied Agents.
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
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction.
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

Generative Models from the perspective of Continual Learning.
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
State representation learning with recurrent capsule networks.
CoRR, 2018

Continual State Representation Learning for Reinforcement Learning using Generative Replay.
CoRR, 2018

Grounding Perception: A Developmental Approach to Sensorimotor Contingencies.
CoRR, 2018

Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning.
CoRR, 2018

Representation Learning in Partially Observable Environments using Sensorimotor Prediction.
CoRR, 2018

Learning Representations of Spatial Displacement through Sensorimotor Prediction.
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

Sensorimotor Prediction with Neural Networks on Continuous Spaces.
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

Grounding the experience of a visual field through sensorimotor contingencies.
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
Real-time pedestrian detection and pose classification on a GPU.
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

Prediction of driver behavior on a limited sensory setting.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2011
Behavior prediction at multiple time-scales in inner-city scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

Situation-specific learning for ego-vehicle behavior prediction systems.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

2010
Autonomous Generation of Internal Representations for Associative Learning.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010


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