Jake Bouvrie

Research & Publications

Selected Publications
  • J. Bouvrie and J.-J.E. Slotine. "Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes", Advances in Neural Information Processing Systems (NeurIPS) 25, 2012. [pdf]
  • J. Bouvrie and M. Maggioni. "Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning", 2012. [arXiv:1212.1143] (long form), and Proc. 50th Annual Allerton Conference on Communication, Control, and Computing, 2012. (short form). [pdf]
  • J. Bouvrie, L. Rosasco, and T. Poggio. "On Invariance in Hierarchical Models", Advances in Neural Information Processing Systems (NeurIPS) 22, 2009. [pdf - paper and supporting material]
  • S. Smale, L. Rosasco, J. Bouvrie, A. Caponnetto, and T. Poggio. "Mathematics of the Neural Response", Foundations of Computational Mathematics, Vol. 10(1):pp.67--91, Feb 2010. [pdf]
Theory of Hierarchical Models & Neural Networks
  • 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]
  • J. Bouvrie, L. Rosasco, and T. Poggio. "On Invariance in Hierarchical Models", Advances in Neural Information Processing Systems (NeurIPS) 22, 2009. [pdf - paper and supporting material]
  • 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]
  • 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, 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]
Decision Making in Uncertain Environments
  • J. Bouvrie and M. Maggioni. "Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning", (submitted), 2012. [arXiv]
  • J. Bouvrie and M. Maggioni. "Efficient Solution of Markov Decision Problems with Multiscale Representations", Proc. 50th Annual Allerton Conference on Communication, Control, and Computing, 2012. [pdf] [slides]
Stochastic Systems, Optimization, and Machine Learning
  • J. Bouvrie and J.-J.E. Slotine. "Wasserstein Contraction of Stochastic Nonlinear Systems", 2019. [arXiv:1902.08567]
  • J. Bouvrie and J.-J.E. Slotine. "Synchronization and Noise: A Mechanism for Regularization in Neural Systems", 2013. [arXiv:1312.1632]
  • J. Bouvrie and J.-J.E. Slotine. "Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes", Advances in Neural Information Processing Systems (NeurIPS) 25, 2012. [pdf]
  • M. Raginsky and J. Bouvrie. "Continuous-Time Stochastic Mirror Descent on a Network: Variance Reduction, Consensus, Convergence", IEEE Conference on Decision and Control (CDC), 2012. [pdf]
  • 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]
Machine Learning & Control
  • J. Bouvrie and M. Maggioni. "Geometric Multiscale Reduction for Autonomous and Controlled Nonlinear Systems", IEEE Conference on Decision and Control (CDC), 2012. [pdf] [slides]
  • J. Bouvrie and B. Hamzi. "Empirical Estimators for Stochastically Forced Nonlinear Systems: Observability, Controllability and the Invariant Measure", American Control Conference (ACC), 2012. [pdf]
    J. Bouvrie and B. Hamzi. "Kernel methods for the approximation of some key quantities of nonlinear systems", Journal of Computational Dynamics 4(1&2), 337-404, 2017. (journal version) [link]
  • J. Bouvrie and B. Hamzi. "Balanced Reduction of Nonlinear Control Systems in Reproducing Kernel Hilbert Space", Proc. 48th Annual Allerton Conference on Communication, Control, and Computing, 2010. [pdf]
    J. Bouvrie and B. Hamzi. "Kernel Methods for the Approximation of Nonlinear Systems, SIAM Journal on Control and Optimization 55(4), 2460--2492, 2017. (journal version) [link]
Speech Recognition and Analysis
  • 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]
  • 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]
  • 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]
  • 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]
  • 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]
Computational Neuroscience
  • 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]
  • 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]
Multi-Modal Learning
  • Y. Ivanov, T. Serre, and J. Bouvrie, "Error Weighted Classifier Combination for Multi-modal Human Identification", MIT CSAIL Technical Report 2005-080, 2005. [pdf]
  • J. Bouvrie. "Multi-source Contingency Clustering", M.Eng. Thesis, Massachusetts Institute of Technology, 2004. [pdf]
Tutorials and Notes
  • J. Bouvrie, Notes on Convolutional Neural Networks, 2006. (minor update May 2014). [pdf]
Theses