Alexander V. Terekhov

Publication Activity (10 Years)

Years Active: 2010-2019
Publications (10 Years): 14

Top Topics

Spatial Configuration

Knowledge Transfer

Top Venues

Robotics Auton. Syst.

Publications

Alexander V. Terekhov, Guglielmo Montone, J. Kevin O'Regan
Knowledge transfer in deep block-modular neural networks. CoRR (2019)
Alexander V. Terekhov, J. Kevin O'Regan
Learning abstract perceptual notions: the example of space. CoRR (2019)
Alban Laflaquière, Alexander V. Terekhov, Bruno Gas, J. Kevin O'Regan
Learning an internal representation of the end-effector configuration space. CoRR (2018)
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 (2018)
Alban Laflaquière, J. Kevin O'Regan, Sylvain Argentieri, Bruno Gas, Alexander V. Terekhov
Learning agent's spatial configuration from sensorimotor invariants. CoRR (2018)
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 (2018)
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 (2017)
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 (2017)
Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov
Block Neural Network Avoids Catastrophic Forgetting When Learning Multiple Task. CoRR (2017)
Alexander V. Terekhov, J. Kevin O'Regan
Space as an Invention of Active Agents. Frontiers Robotics AI 3 (2016)
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)
Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov
Unsupervised model-free camera calibration algorithm for robotic applications. IROS (2015)
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 (2015)
Alexander V. Terekhov, Guglielmo Montone, J. Kevin O'Regan
Knowledge Transfer in Deep Block-Modular Neural Networks. Living Machines (2015)
Alexander V. Terekhov, J. Kevin O'Regan
Learning abstract perceptual notions: The example of space. ICDL-EPIROB (2014)
Alban Laflaquière, Alexander V. Terekhov, Bruno Gas, J. Kevin O'Regan
Learning an internal representation of the end-effector configuration space. IROS (2013)
Alexander V. Terekhov, J. Kevin O'Regan
Space as an invention of biological organisms. CoRR (2013)
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) (2011)
Alexander V. Terekhov, Jean-Baptiste Mouret, Christophe Grand
Stochastic optimization of a chain sliding mode controller for the mobile robot maneuvering. IROS (2011)
Alexander V. Terekhov, Jean-Baptiste Mouret, Christophe Grand
Stochastic optimization of a neural network-based controller for aggressive maneuvers on loose surfaces. IROS (2010)