Alexander V. Terekhov

20 papers A 4Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	Knowledge transfer in deep block-modular neural networks. CoRR Alexander V. Terekhov, Guglielmo Montone, J. Kevin O'Regan
2019	J	`jnl`	Learning abstract perceptual notions: the example of space. CoRR Alexander V. Terekhov, J. Kevin O'Regan
2018	J	`jnl`	Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience. CoRR Alban Laflaquière, J. Kevin O'Regan, Bruno Gas, Alexander V. Terekhov
2018	J	`jnl`	Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience. Neural Networks Alban Laflaquière, J. Kevin O'Regan, Bruno Gas, Alexander V. Terekhov
2018	J	`jnl`	Learning agent's spatial configuration from sensorimotor invariants. CoRR Alban Laflaquière, J. Kevin O'Regan, Sylvain Argentieri, Bruno Gas, Alexander V. Terekhov
2018	J	`jnl`	Learning an internal representation of the end-effector configuration space. CoRR Alban Laflaquière, Alexander V. Terekhov, Bruno Gas, J. Kevin O'Regan
2017	J	`jnl`	Block Neural Network Avoids Catastrophic Forgetting When Learning Multiple Task. CoRR Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov
2017	J	`jnl`	Gradual Tuning: a better way of Fine Tuning the parameters of a Deep Neural Network. CoRR Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov
2017	J	`jnl`	Hyper-dimensional computing for a visual question-answering system that is trainable end-to-end. CoRR Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov
2016	J	`jnl`	Space as an Invention of Active Agents. Frontiers Robotics AI Alexander V. Terekhov, J. Kevin O'Regan
2015	—	`conf`	Knowledge Transfer in Deep Block-Modular Neural Networks. Living Machines Alexander V. Terekhov, Guglielmo Montone, J. Kevin O'Regan
2015	J	`jnl`	Learning agent's spatial configuration from sensorimotor invariants. Robotics Auton. Syst. Alban Laflaquière, J. Kevin O'Regan, Sylvain Argentieri, Bruno Gas, Alexander V. Terekhov
2015	—	`conf`	The Usefulness of Past Knowledge when Learning a New Task in Deep Neural Networks. CoCo@NIPS Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov
2015	A	`conf`	Unsupervised model-free camera calibration algorithm for robotic applications. IROS Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov
2014	—	`conf`	Learning abstract perceptual notions: The example of space. ICDL-EPIROB Alexander V. Terekhov, J. Kevin O'Regan
2013	A	`conf`	Learning an internal representation of the end-effector configuration space. IROS Alban Laflaquière, Alexander V. Terekhov, Bruno Gas, J. Kevin O'Regan
2013	J	`jnl`	Space as an invention of biological organisms. CoRR Alexander V. Terekhov, J. Kevin O'Regan
2011	J	`jnl`	Analytical and numerical analysis of inverse optimization problems: conditions of uniqueness and computational methods. Biol. Cybern. Alexander V. Terekhov, Vladimir M. Zatsiorsky
2011	A	`conf`	Stochastic optimization of a chain sliding mode controller for the mobile robot maneuvering. IROS Alexander V. Terekhov, Jean-Baptiste Mouret, Christophe Grand
2010	A	`conf`	Stochastic optimization of a neural network-based controller for aggressive maneuvers on loose surfaces. IROS Alexander V. Terekhov, Jean-Baptiste Mouret, Christophe Grand