Follow
Matthew Luciw
Title
Cited by
Cited by
Year
Neuromorphic Spatiotemporal Where-What Machines
J Weng, Z Ji, M Luciw, M Solgi, BTMS University
US Patent App. 12/790,735, 2010
104*2010
Dually optimal neuronal layers: Lobe component analysis
J Weng, M Luciw
IEEE Transactions on Autonomous Mental Development 1 (1), 68-85, 2009
1032009
Multi-channel EEG recordings during 3,936 grasp and lift trials with varying weight and friction
MD Luciw, E Jarocka, BB Edin
Scientific data 1 (1), 1-11, 2014
892014
Incremental slow feature analysis: Adaptive low-complexity slow feature updating from high-dimensional input streams
VR Kompella, M Luciw, J Schmidhuber
Neural Computation 24 (11), 2994-3024, 2012
74*2012
Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots
VR Kompella, M Stollenga, M Luciw, J Schmidhuber
Artificial Intelligence 247, 313-335, 2017
612017
Where-what network 3: Developmental top-down attention for multiple foregrounds and complex backgrounds
M Luciw, J Weng
Proc. International Joint Conference on Neural Networks (IJCNN), 4233-4240, 2010
53*2010
Learning skills from play: artificial curiosity on a katana robot arm
H Ngo, M Luciw, A Forster, J Schmidhuber
Proc. International Joint Conference on Neural Networks (IJCNN), 2012
462012
Intrinsically motivated evolutionary search for vision-based reinforcement learning
G Cuccu, M Luciw, J Schmidhuber, F Gomez
Proc. International Conference on Development and Learning and Epigenetic …, 2011
41*2011
Artificial curiosity with planning for autonomous perceptual and cognitive development
M Luciw, V Graziano, M Ring, J Schmidhuber
Proc. International Conference on Development and Learning and Epigenetic …, 2011
372011
Incremental Slow Feature Analysis
VR Kompella, M Luciw, J Schmidhuber
Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2011
342011
Incremental Online Object Learning in a Vehicular Radar-Vision Fusion Framework
Z Ji, M Luciw, J Weng, S Zeng
IEEE Transactions on Intelligent Transportation Systems, 1-10, 2011
312011
Systems and methods to enable continual, memory-bounded learning in artificial intelligence and deep learning continuously operating applications across networked compute edges
M Luciw, S Olivera, A Gorshechnikov, J Wurbs, HM Ames, M Versace
US Patent App. 15/975,280, 2018
282018
An intrinsic value system for developing multiple invariant representations with incremental slowness learning
M Luciw, V Kompella, S Kazerounian, J Schmidhuber
Frontiers in neurorobotics 7, 9, 2013
272013
Autonomous learning of abstractions using curiosity-driven modular incremental slow feature analysis
VR Kompella, M Luciw, M Stollenga, L Pape, J Schmidhuber
Proc. International Conference on Development and Learning and Epigenetic …, 2012
272012
Motor initiated expectation through top-down connections as abstract context in a physical world
MD Luciw, J Weng, S Zeng
Proc. International Conference on Development and Learning (ICDL), 115-120, 2008
232008
Optimal in-place self-organization for cortical development: Limited cells, sparse coding and cortical topography
J Weng, MD Luciw
Proc. International Conference on Development and Learning (ICDL), 2006
232006
Low complexity proto-value function learning from sensory observations with incremental slow feature analysis
M Luciw, J Schmidhuber
Proc. International Conference on Artificial Neural Networks (ICANN), 279-287, 2012
222012
Sequential constant size compressors for reinforcement learning
L Gisslén, M Luciw, V Graziano, J Schmidhuber
Proc. Artificial General Intelligence Conference (AGI), 31-40, 2011
212011
Topographic class grouping with applications to 3d object recognition
MD Luciw, J Weng
Proc. International Joint Conference on Neural Networks (IJCNN), 3987-3994, 2008
212008
Confidence-based progress-driven self-generated goals for skill acquisition in developmental robots
H Ngo, M Luciw, A Förster, J Schmidhuber
Frontiers in psychology 4, 833, 2013
202013
The system can't perform the operation now. Try again later.
Articles 1–20