Matthew Luciw
matthew(at)idsia.ch
Since July 2010, I have been a postdoctoral researcher at IDSIA,
in the group of Jürgen Schmidhuber.
Before that, I was a Ph.D. student at Michigan State University, where I
was a member of the Embodied Intelligence lab,
the group of Juyang Weng.
Research
Publications at IDSIA (bib)
- Hung Ngo, Matthew Luciw, Alexander Foerster, and Juergen Schmidhuber (2012).
Learning Skills from Play: Artificial Curiostiy on a Katana Robot Arm.
In Proceedings of the International Joint Conference on Neural Networks (IJCNN, Brisbane)
-[Short "High Impact" Video]-
-[Long Boring Video With Good Music]-
- Matthew Luciw, Varun Raj Kompella, and Juergen Schmidhuber (2012).
Hierarchical Incremental Slow Feature Analysis.
Workshop on Deep Hierarchies in Vision (DHV, Vienna)
-[Poster]-
- Varun Raj Kompella, Matthew Luciw, and Juergen Schmidhuber (2011).
Incremental Slow Feature Analysis: Adaptive and Episodic Learning from
High-Dimensional Data Streams.
arXiv:1112.2113.
-[Video]-
-[Algorithm]-
- Matthew Luciw, Vincent Graziano, Mark Ring, and Juergen Schmidhuber (2011).
Artificial Curiosity with Planning for Autonomous Perceptual and Cognitive Development.
In Proceedings of the International Conference on
Development and Learning (ICDL, Frankfurt).
-[Poster]-
- Giuseppe Cuccu, Matthew Luciw, Juergen Schmidhuber, and Faustino Gomez (2011).
Intrinsically Motivated NeuroEvolution for Vision-Based
Reinforcement Learning.
In Proceedings of the International Conference on
Development and Learning (ICDL, Frankfurt).
-[A Few Slides]-
- Linus Gisslen, Matt Luciw, Vincent Graziano, and Juergen Schmidhuber (2011).
Sequential Constant Size Compressors for Reinforcement Learning.
In Proceedings of the Artificial General
Intelligence Conference (AGI, Mountainview, CA).
-[Best Paper Award]-
-[Slides]-
-[Video]-
- Varun Raj Kompella, Matthew Luciw, and Juergen Schmidhuber (2011).
Incremental Slow Feature Analysis.
In Proceedings of the International Joint Conference on Artificial
Intelligence (IJCAI, Barcelona).
Publications at MSU (bib)
- Matthew Luciw and Juyang Weng (2010).
Top–Down Connections in Self-Organizing Hebbian Networks:
Topographic Class Grouping.
IEEE Transactions on Autonomous Mental Development (TAMD)
-[Related Poster at SFN]-
-[Example Result on MNIST]-
-[Related Abstract for CNS]-
- Juyang Weng and Matthew Luciw (2009).
Dually Optimal Neuronal Layers: Lobe Component Analysis.
IEEE Transactions on Autonomous Mental Development (TAMD)
-[Matlab Code]-
- Zhengping Ji, Matthew Luciw, and Juyang Weng (2011).
Incremental Online Object Learning in a Vehicular
Radar-Vision Fusion Framework.
IEEE Transactions on Intelligent Transportation Systems (IEEE-ITS)
-[Video]-
- Juyang Weng and Matthew Luciw (2011).
Brain-Like Emergent Spatial Processing.
IEEE Transactions on Autonomous Mental Development (TAMD)
-[Matlab Code]-
- Matthew Luciw and Juyang Weng (2010).
Where-What Network 4: The Effect of Multiple Internal Areas.
In Proceedings of the International Conference on
Development and Learning (ICDL, Ann Arbor).
- Matthew Luciw and Juyang Weng (2010).
Where-What Network 3: Developmental Top-Down Attention
for Multiple Foregrounds and Complex Backgrounds.
In Proceedings of the International Joint Conference on
Neural Networks (IJCNN, Barcelona).
-[Slides]-
- Matthew Luciw and Juyang Weng (2009).
Laterally Connected Lobe Component Analysis: Precision and
Topography.
In Proceedings of the International Conference on
Development and Learning (ICDL, Shanghai).
-[Slides]-
- Matthew Luciw and Juyang Weng (2008).
Topographic Class Grouping with Applications to 3D Object
Recognition.
In Proceedings of the International Joint Conference on
Neural Networks (IJCNN, Hong Kong).
-[Slides]-
- Matthew Luciw and Juyang Weng (2008).
Motor Initiated Expectation Through Top-Down Connections
as Abstract Context in a Physical World.
In Proceedings of the International Conference on
Development and Learning (ICDL, Monterey).
- Laura Grabowski, Matthew Luciw, and Juyang Weng (2007).
A System for Epigenetic Concept Development through
Autonomous Associative Learning.
In Proceedings of the International Conference on
Development and Learning (ICDL, London).
-[Poster]-
- Hanqing Zhao, Zhengping Ji, Matthew Luciw, and Juyang Weng (2007).
Developmental Learning for Avoiding Dynamics Obstacles
Using Attention.
In Proceedings of the International Conference on
Development and Learning (ICDL, London).
- Zhengping Ji, Matthew Luciw, Shuqing Zeng, and Varsha Sadekar (2007).
A Biologically-Motivated Developmental System towards
Perceptual Awareness in Vehicle-Based Robots.
In Proceedings of the International Conference on
Epigenetic Robotics (EPIROB, Rutgers).
- Juyang Weng and Matthew Luciw (2006).
Optimal In-Place Self-Organization for Cortical Development:
Limited Cells, Sparse Coding, and Cortical Topography.
In Proceedings of the International Conference on
Development and Learning (ICDL, Bloomington).
- Matthew Luciw and Zhengping Ji (2006).
Building Blocks of Development.
In IEEE Computational Intelligence Magazine.
(Old page about my Ph.D. research.).
Projects
Random Image