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ORCIDAlban Laflaquière
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- affiliation: Pierre and Marie Curie University, Paris, France
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2020 – today
- 2024
[j7]Giuseppe Paolo
, Miranda Coninx, Alban Laflaquière, Stéphane Doncieux:
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. Evol. Comput. 32(3): 275-305 (2024)- 2022
- [j6]Alban Laflaquière:
A Sensorimotor Perspective on Contrastive Multiview Visual Representation Learning. IEEE Trans. Cogn. Dev. Syst. 14(2): 269-278 (2022) - 2021
- [c16]Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière:
Sparse reward exploration via novelty search and emitters. GECCO 2021: 154-162 - [i19]Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière:
Sparse Reward Exploration via Novelty Search and Emitters. CoRR abs/2102.03140 (2021) - [i18]Giuseppe Paolo, Alexandre Coninx, Alban Laflaquière, Stéphane Doncieux:
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. CoRR abs/2111.01919 (2021) - 2020
- [c15]Stéphane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx:
Novelty search makes evolvability inevitable. GECCO 2020: 85-93 - [c14]Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx, Stéphane Doncieux:
Unsupervised Learning and Exploration of Reachable Outcome Space. ICRA 2020: 2379-2385 - [i17]Stéphane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx:
Novelty Search makes Evolvability Inevitable. CoRR abs/2005.06224 (2020) - [i16]Alban Laflaquière:
Emergence of Spatial Coordinates via Exploration. CoRR abs/2010.15469 (2020)
2010 – 2019
- 2019
- [c13]Stéphane Doncieux, Alban Laflaquière, Alexandre Coninx:
Novelty search: a theoretical perspective. GECCO 2019: 99-106 - [c12]Alban Laflaquière, Verena V. Hafner:
Self-supervised Body Image Acquisition Using a Deep Neural Network for Sensorimotor Prediction. ICDL-EPIROB 2019: 117-122 - [c11]Alexandre Antunes, Alban Laflaquière, Tetsuya Ogata, Angelo Cangelosi:
A Bi-directional Multiple Timescales LSTM Model for Grounding of Actions and Verbs. IROS 2019: 2614-2621 - [c10]Alban Laflaquière, Michaël Garcia Ortiz:
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction. NeurIPS 2019: 7156-7166 - [i15]Alban Laflaquière, Verena V. Hafner:
Self-supervised Body Image Acquisition Using a Deep Neural Network for Sensorimotor Prediction. CoRR abs/1906.00825 (2019) - [i14]Alban Laflaquière, Michaël Garcia Ortiz:
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction. CoRR abs/1906.01401 (2019) - [i13]Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx, Stéphane Doncieux:
Unsupervised Learning and Exploration of Reachable Outcome Space. CoRR abs/1909.05508 (2019) - 2018
- [j5]Nicolas Le Hir, Olivier Sigaud, Alban Laflaquière:
Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects. Frontiers Robotics AI 5: 70 (2018) - [j4]Alban Laflaquière, J. Kevin O'Regan, Bruno Gas, Alexander V. Terekhov:
Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience. Neural Networks 105: 371-392 (2018) - [c9]Michaël Garcia Ortiz, Alban Laflaquière:
Learning Representations of Spatial Displacement through Sensorimotor Prediction. ICDL-EPIROB 2018: 7-12 - [c8]Alexandre Antunes, Alban Laflaquière, Angelo Cangelosi:
Solving Bidirectional Tasks using MTRNN. ICDL-EPIROB 2018: 19-25 - [c7]Alban Laflaquière:
A Sensorimotor Perspective on Grounding the Semantic of Simple Visual Features. ICDL-EPIROB 2018: 60-65 - [c6]Pontus Loviken, Nikolas Hemion, Alban Laflaquière, Michael Spranger, Angelo Cangelosi:
Online Learning of Body Orientation Control on a Humanoid Robot Using Finite Element Goal Babbling. IROS 2018: 4091-4098 - [i12]Alban Laflaquière:
A Sensorimotor Perspective on Grounding the Semantic of Simple Visual Features. CoRR abs/1805.04396 (2018) - [i11]Michaël Garcia Ortiz, Alban Laflaquière:
Learning Representations of Spatial Displacement through Sensorimotor Prediction. CoRR abs/1805.06250 (2018) - [i10]Alban Laflaquière, J. Kevin O'Regan, Bruno Gas, Alexander V. Terekhov:
Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience. CoRR abs/1806.02739 (2018) - [i9]Alban Laflaquière:
Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction. CoRR abs/1810.01344 (2018) - [i8]Alban Laflaquière, Alexander V. Terekhov, Bruno Gas, J. Kevin O'Regan:
Learning an internal representation of the end-effector configuration space. CoRR abs/1810.01866 (2018) - [i7]Alban Laflaquière, Sylvain Argentieri, Olivia Breysse, Stéphane Genet, Bruno Gas:
A Non-linear Approach to Space Dimension Perception by a Naive Agent. CoRR abs/1810.01867 (2018) - [i6]Alban Laflaquière, Nikolas Hemion, Michaël Garcia Ortiz, Jean-Christophe Baillie:
Grounding Perception: A Developmental Approach to Sensorimotor Contingencies. CoRR abs/1810.01870 (2018) - [i5]Alban Laflaquière:
Grounding the Experience of a Visual Field through Sensorimotor Contingencies. CoRR abs/1810.01871 (2018) - [i4]Alban Laflaquière, J. Kevin O'Regan, Sylvain Argentieri, Bruno Gas, Alexander V. Terekhov:
Learning agent's spatial configuration from sensorimotor invariants. CoRR abs/1810.01872 (2018) - [i3]Nicolas Le Hir, Olivier Sigaud, Alban Laflaquière:
Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects. CoRR abs/1810.05057 (2018) - 2017
- [j3]Alban Laflaquière:
Grounding the experience of a visual field through sensorimotor contingencies. Neurocomputing 268: 142-152 (2017) - 2016
- [c5]Alban Laflaquière, Michaël Garcia Ortiz, Ahmed Faraz Khan:
Grounding the experience of a visual field through sensorimotor contingencies. ESANN 2016 - [c4]Alban Laflaquière:
Autonomous grounding of visual field experience through sensorimotor prediction. ICDL-EPIROB 2016: 144-149 - [i2]Alban Laflaquière:
Autonomous Grounding of Visual Field Experience through Sensorimotor Prediction. CoRR abs/1608.01127 (2016) - [i1]Alban Laflaquière, Nikolas Hemion:
Grounding object perception in a naive agent's sensorimotor experience. CoRR abs/1609.08009 (2016) - 2015
- [j2]Alban Laflaquière, J. Kevin O'Regan, Sylvain Argentieri, Bruno Gas, Alexander V. Terekhov:
Learning agent's spatial configuration from sensorimotor invariants. Robotics Auton. Syst. 71: 49-59 (2015) - [c3]Alban Laflaquière, Nikolas Hemion:
Grounding object perception in a naive agent's sensorimotor experience. ICDL-EPIROB 2015: 276-282 - 2013
- [b1]Alban Laflaquière:
Approche sensorimotrice de la perception de l'espace pour la robotique autonome. (Sensorimotor approach of space perception for autonomous robotics.). Pierre and Marie Curie University, Paris, France, 2013 - [c2]Alban Laflaquière, Alexander V. Terekhov, Bruno Gas, J. Kevin O'Regan:
Learning an internal representation of the end-effector configuration space. IROS 2013: 1230-1235 - 2012
- [c1]Alban Laflaquière, Sylvain Argentieri, Olivia Breysse, Stéphane Genet, Bruno Gas:
A non-linear approach to space dimension perception by a naive agent. IROS 2012: 3253-3259
1990 – 1999
- 1999
- [j1]Sylvie Le Masson, Alban Laflaquière, Thierry Bal, Gwendal Le Masson:
Analog circuits for modeling biological neural networks: design and applications. IEEE Trans. Biomed. Eng. 46(6): 638-645 (1999)
Coauthor Index
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