Jake Bouvrie - Publications

Jake V. Bouvrie
Duke University
Department of Mathematics
Box 90320
Durham, NC 27708
phone: 919.660.2847
email: my 3 initials (all lowercase) at math dot duke dot edu

Publications

2012
J. Bouvrie and B. Hamzi. "Empirical Estimators for the Controllability Energy and Invariant Measure of Stochastically Forced Nonlinear Systems", accepted to American Control Conference (ACC), 2012.
2011
J. Bouvrie and J.J.E. Slotine. "Synchronization and Redundancy: Implications for Robustness of Neural Learning and Decision Making", Neural Computation, 23(11), 2011. [pdf]
J. Bouvrie and B. Hamzi. "Model Reduction for Nonlinear Control Systems using Kernel Subspace Methods", (submitted), 2011. [arXiv]
2010
J. Bouvrie and B. Hamzi. "Balanced Reduction of Nonlinear Control Systems in Reproducing Kernel Hilbert Space", 48th Annual Allerton Conference on Communication, Control, and Computing, 2010. [pdf]
J. Bouvrie, T. Poggio, L. Rosasco, S. Smale and A. Wibisono, "Generalization and Properties of the Neural Response", MIT CSAIL Tech Report MIT-CSAIL-TR-2010-051/CBCL-292, Massachusetts Institute of Technology, Cambridge, MA, November 19, 2010. [pdf]
A. Wibisono, J. Bouvrie, L. Rosasco and T. Poggio. "Learning and Invariance in a Family of Hierarchical Kernels", MIT CSAIL Tech Report MIT-CSAIL-TR-2010-035/CBCL Paper 290, Massachusetts Institute of Technology, Cambridge, MA, July, 2010. [pdf]
2009
J. Bouvrie, L. Rosasco, and T. Poggio. "On Invariance in Hierarchical Models". Advances in Neural Information Processing Systems (NIPS) 22, 2009. [pdf - paper and supporting material]
J. Bouvrie, L. Rosasco, G. Shakhnarovich, S. Smale. "Notes on the Shannon Entropy of the Neural Response", MIT CSAIL Tech Report 2009-049/CBCL Paper 281, Massachusetts Institute of Technology, Cambridge, MA, October, 2009. [pdf]
S. Smale, L. Rosasco, J. Bouvrie, A. Caponnetto, and T. Poggio. "Mathematics of the Neural Response", Foundations of Computational Mathematics, June 2009 (online). (Print edition: Vol. 10(1):pp.67--91, Feb 2010.) [pdf]
2008
J. Bouvrie, T. Ezzat, and T. Poggio. "Localized Spectro-Temporal Cepstral Analysis of Speech", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, 2008. [pdf]
2007
J. Bouvrie and P. Sinha. "Visual object concept discovery: Observations in congenitally blind children, and a computational approach", Neurocomputing, Volume 70, Issues 13-15, pp.2218-2233, 2007. [pdf]
T. Ezzat, J. Bouvrie, and T. Poggio. "Spectro-Temporal Analysis of Speech Using 2-D Gabor Filters", in Proc. Tenth International Conference on Spoken Language Processing (Interspeech), Antwerp, Belgium, 2007. [pdf]
T. Ezzat, J. Bouvrie, and T. Poggio. "AM-FM Demodulation of Spectrograms Using Localized 2D Max-Gabor Analysis", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, 2007. [pdf]
U. Knoblich, J. Bouvrie, and T. Poggio. "Biophysical Models of Neural Computation: Max and Tuning Circuits", in Proc. Web Intelligence Meets Brain Informatics (WImBI 2006, Beijing), Lecture Notes in Artificial Intelligence 4845, Springer, 2007. [pdf]
R. Rifkin, J. Bouvrie, K. Schutte, S. Chikkerur, M. Kouh, T. Ezzat, and T. Poggio. "Phonetic Classification Using Hierarchical, Feed-forward, Spectro-temporal Patch-based Architectures", MIT CSAIL Tech Report 2007-007, Massachusetts Institute of Technology, Cambridge, MA, January, 2007. [pdf]
R. Rifkin, K. Schutte, D. Saad, J. Bouvrie, and J. Glass. "Noise Robust Phonetic Classification with Linear Regularized Least Squares and Second-Order Features", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, 2007. [pdf]
S. Smale, T. Poggio, A. Caponnetto, and J. Bouvrie. "Derived Distance: towards a mathematical theory of visual cortex", CBCL Paper, Massachusetts Institute of Technology, Cambridge, MA, November, 2007. [pdf]
2006
J. Bouvrie and T. Ezzat. "An Incremental Algorithm for Signal Reconstruction from Short-Time Fourier Transform Magnitude", in Proc. Ninth International Conference on Spoken Language Processing (Interspeech), Pittsburgh, 2006. [pdf] [audio examples]
T. Ezzat, J. Bouvrie, and T. Poggio. "Max-Gabor Analysis and Synthesis of Spectrograms", in Proc. Ninth International Conference on Spoken Language Processing (Interspeech), Pittsburgh, 2006. [pdf]
2005
Y. Ivanov, T. Serre, and J. Bouvrie, "Error Weighted Classifier Combination for Multi-modal Human Identification", MIT CSAIL Technical Report 2005-080, 2005. [pdf]
Abstracts
J. Bouvrie and B. Hamzi. "Model Reduction of Nonlinear Control Systems in Reproducing Kernel Hilbert Space", SIAM Conference on Control and its Applications (CT11), July 2011.
J. Bouvrie and P. Sinha. "Object concept learning from non-normalized data". Journal of Vision, 3(9), 673a, 2003. (Vision Sciences 2003) [html]
Tutorials and Notes
J. Bouvrie, Notes on Convolutional Neural Networks, version as of 22 Nov 2006. [pdf]
Theses
J. Bouvrie. "Hierarchical Learning: Theory with Applications in Speech and Vision", Ph.D. Thesis,
Massachusetts Institute of Technology, 2009.

Principal Collaborators
Mauro Maggioni	Duke
Tomaso Poggio	MIT
Lorenzo Rosasco	MIT / Instituto Italiano di Tecnologia
Jean-Jacques Slotine	MIT
Stephen Smale	City U. of HK / Berkeley


Academic Bio
Massachusetts Institute of Technology
2009 PhD Center for Biological and Computational Learning
Thesis Advisor: Prof. Tomaso Poggio, BCS/CSAIL
2004 MEng Electrical Engineering & Computer Science
Masters Thesis Title: "Multi-Source Contingency Clustering"
Masters Thesis Advisors: Prof. Tomaso Poggio, Dr. Yuri Ivanov
2003 SB Mathematics
2003 SB Electrical Engineering
Senior Thesis Title: "Object Concept Learning from Non-Normalized Data"
Senior Thesis Advisor: Prof. Pawan Sinha, BCS