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Alexander V. Terekhov
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2010 – 2019
- 2019
- [i9]Alexander V. Terekhov, J. Kevin O'Regan:
Learning abstract perceptual notions: the example of space. CoRR abs/1907.12430 (2019) - [i8]Alexander V. Terekhov, Guglielmo Montone, J. Kevin O'Regan:
Knowledge transfer in deep block-modular neural networks. CoRR abs/1908.08017 (2019) - 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) - [i7]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) - [i6]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) - [i5]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) - 2017
- [i4]Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov:
Gradual Tuning: a better way of Fine Tuning the parameters of a Deep Neural Network. CoRR abs/1711.10177 (2017) - [i3]Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov:
Hyper-dimensional computing for a visual question-answering system that is trainable end-to-end. CoRR abs/1711.10185 (2017) - [i2]Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov:
Block Neural Network Avoids Catastrophic Forgetting When Learning Multiple Task. CoRR abs/1711.10204 (2017) - 2016
- [j3]Alexander V. Terekhov, J. Kevin O'Regan:
Space as an Invention of Active Agents. Frontiers Robotics AI 3: 4 (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) - [c7]Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov:
Unsupervised model-free camera calibration algorithm for robotic applications. IROS 2015: 3058-3063 - [c6]Alexander V. Terekhov, Guglielmo Montone, J. Kevin O'Regan:
Knowledge Transfer in Deep Block-Modular Neural Networks. Living Machines 2015: 268-279 - [c5]Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov:
The Usefulness of Past Knowledge when Learning a New Task in Deep Neural Networks. CoCo@NIPS 2015 - 2014
- [c4]Alexander V. Terekhov, J. Kevin O'Regan:
Learning abstract perceptual notions: The example of space. ICDL-EPIROB 2014: 368-373 - 2013
- [c3]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 - [i1]Alexander V. Terekhov, J. Kevin O'Regan:
Space as an invention of biological organisms. CoRR abs/1308.2124 (2013) - 2011
- [j1]Alexander V. Terekhov, Vladimir M. Zatsiorsky:
Analytical and numerical analysis of inverse optimization problems: conditions of uniqueness and computational methods. Biol. Cybern. 104(1-2): 75-93 (2011) - [c2]Alexander V. Terekhov, Jean-Baptiste Mouret, Christophe Grand:
Stochastic optimization of a chain sliding mode controller for the mobile robot maneuvering. IROS 2011: 4360-4365 - 2010
- [c1]Alexander V. Terekhov, Jean-Baptiste Mouret, Christophe Grand:
Stochastic optimization of a neural network-based controller for aggressive maneuvers on loose surfaces. IROS 2010: 4782-4787
Coauthor Index
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