Most of the papers are available in postscript or PDF form.
For any questions please email me at: me@subutai.com
Hierarchical Temporal Memory
Jeff Hawkins and Subutai Ahmad (2016)
Why Neurons
Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex
Front. Neural Circuits 10:23. doi: 10.3389/fncir.2016.00023
Yuwei Cui, Chetan Surpur, Subutai Ahmad, and Jeff Hawkins (2015)
Continuous online sequence learning with an
unsupervised neural network model
Preprint available: http://arxiv.org/abs/1512.05463
Alex Lavin and Subutai Ahmad (2015)
Evaluating Real-time Anomaly Detection
Algorithms - the Numenta Anomaly Benchmark
in 14th International Conference on Machine Learning and Applications
(IEEE ICMLA'15), Miami FL.
Preprint available: http://arxiv.org/abs/1510.03336
Subutai Ahmad and Jeff Hawkins (2016)
How do neurons operate on sparse distributed
representations? A mathematical theory of sparsity, neurons and active
dendrites
Preprint available: http://arxiv.org/abs/1601.00720
S.Ahmad and J. Hawkins (2015)
Properties of Sparse Distributed
Representations and their Application to Hierarchical Temporal Memory
Retrieved from http://arxiv.org/abs/1503.07469
S. Billaudelle and S. Ahmad (2015)
Porting HTM Models to the Heidelberg
Neuromorphic Computing Platform
Retrieved from http://arxiv.org/abs/1505.02142
Y. Cui, S. Ahmad, C. Surpur and J. Hawkins (2015)
Maintaining stable perception during active exploration
Cosyne 2015 Abstracts (Salt Lake city)
J. Hawkins, S. Ahmad, and D. Dubinsky (2011)
Cortical Learning Algorithm and Hierarchical Temporal Memory
Numenta, Inc. whitepaper
Video Processing
M. Covell and S.Ahmad,
Analysis-by-Synthesis Dissolve Detection
Proc. IEEE International Conference on Image Processing,
Rochester, NY, Sept 23-25 2002
Tracking
C. Bregler, S. Omohundro, M. Covell, M. Slaney,
S. Ahmad, D. Forsyth, and J. Feldman.
Probabilistic Models of Verbal and Body Gestures.
In R. Cipolla and A. Pentland, eds.,
Computer Vision for Human-Machine Interaction ,
Cambridge University Press, 1997.
S. Ahmad. A Usable Real-Time 3D
Hand Tracker 28th Asilomar Conference on Signals, Systems
and Computers, IEEE Computer Society Press 1995.
Neural Networks - Handling Missing and Noisy Information
V. Tresp, R. Neuneier, and S. Ahmad.
Representing probabilistic rules with networks of gaussian basis functions(PDF)
Machine Learning, 1997.
V. Tresp, R. Neuneier, and S. Ahmad.
Efficient Methods for
Dealing with Missing Data in Supervised Learning In G. Tesauro,
D. Touretzky, and T. Leen, eds., Advances in Neural Information
Processing Systems 7, San Mateo, CA, Morgan Kaufman, 1995.
Postscript version
V. Tresp, S. Ahmad, and
R. Neuneier.
Training neural networks with deficient data. In
J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in
Neural Information Processing Systems 6, pages 128-135. Morgan
Kaufmann Publishers, 1994.
S. Ahmad and V. Tresp.
Classification with missing and uncertain inputs.
In Proceedings of the IEEE International Conference on Neural
Networks. San Francisco, CA, 1993.
S. Ahmad and V. Tresp.
Some solutions to the missing feature problem in vision (PDF). (75K) In
S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in
Neural Information Processing Systems 5, pages 393-400. Morgan
Kaufmann Publishers, 1993.
Probabilistic Networks
V. Tresp, J. Hollatz, and S. Ahmad. (1997)
Representing Probabilistic Rules with Networks of Gaussian Basis Functions.
Machine Learning. 27, pages 173-200, 1997
S. Ahmad.
Feature densities are required for computing feature correspondences.
In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances
in Neural Information Processing Systems 6, pages 961-968. Morgan Kaufmann
Publishers, 1994.
V. Tresp, J. Hollatz, and
S. Ahmad.
Network structuring and training using rule-based knowledge. In
S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in
Neural Information Processing Systems 5, pages 871-878. Morgan
Kaufmann Publishers, 1993.
Visual Attention
S. Ahmad.
VISIT: An Efficient Computational Model of Human Visual
Attention. (356K) PhD thesis, University of Illinois at
Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049,
International Computer Science Institute, Berkeley, CA.
S. Ahmad.
VISIT: A neural model of covert visual attention.
In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances
in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann
Publishers, San Mateo, CA, 1992.
S. Ahmad and S. Omohundro.
Equilateral triangles: A challenge for connectionist vision.
In Proceedings of the 12th Annual Conference of the Cognitive
Science Society, Cambridge, MA, July 1990.
S. Ahmad and S. Omohundro.
Efficient visual search: A connectionist solution. In
Proceedings of the 13th Annual Conference of the Cognitive Science
Society, pages 293-298. Lawrence Erlbaum Associates, Inc.,
Hillsdale, NJ, 1991.
Generalization in Back-Propagation
S. Ahmad and G. Tesauro. Scaling and
generalization in neural networks: A case study. In: Touretzky, D.S.,
Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the
1988 Connectionists Models Summer School , Morgan Kaufmann
Publishers, 1988
S. Ahmad, G. Tesauro, and
Y. He. Asymptotic convergence of back-propagation: Numerical
experiments. In Touretzky, D.S, editor. Advances in Neural
Information Processing Systems 2. Morgan Kaufmann Publishers,
San Mateo, CA, 1990
G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence
of back-propagation. Neural Computation Volume 1, pages
382-391, 1989.
S. Ahmad.
A study of scaling and generalization in neural networks.
Technical Report UIUCDCS-R-88-1454, Department of Computer Science,
University of Illinois, Urbana-Champaign, IL, 1988.
Miscellaneous
S. Ahmad (1993).
New Kids on the Block, a review of 'Connectionist models: Proceedings of the 1990
summer school',
Artificial Intelligence, vol. 62, no. 1, pp. 117-127
S. Ahmad.
Machine learning as a tool for analysis in social sciences.
Technical Report CCSR-88-16, Center for Complex Systems Research,
University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois,
1988.
Subutai Ahmad
March 18, 2016