Jake Bouvrie

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TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at unige.it
Stephen SMALEprofessor cityu of hong kongVerified email at cityu.edu.hk
Ryan M. RifkinMIT, GoogleVerified email at mit.edu
Jean-Jacques SlotineMIT, Professor of Mechanical Engineering and Information Sciences, Professor of Brain SciencesVerified email at mit.edu
James GlassMIT Computer Science and Artificial Intelligence LaboratoryVerified email at mit.edu
Thomas SerreProfessor, Brown University and ANR-3IA Artificial and Natural Intelligence Toulouse InstituteVerified email at brown.edu
Maxim RaginskyProfessor of Electrical and Computer Engineering, University of Illinois, Urbana-ChampaignVerified email at illinois.edu
Mauro MaggioniBloomberg Distinguished Professor of Mathematics, and Applied Mathematics and StatisticsVerified email at jhu.edu
Ulf KnoblichScientist II, Allen Institute for Brain ScienceVerified email at alleninstitute.org
Pawan SinhaProfessor of Visual Neuroscience, MITVerified email at mit.edu
Sharat ChikkerurGoogleVerified email at alum.mit.edu
Greg ShakhnarovichProfessor, TTI-ChicagoVerified email at ttic.edu

Jake Bouvrie

Research Affiliate, McGovern Institute for Brain Research, Massachusetts Institute of Technology

Verified email at csail.mit.edu - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Notes on convolutional neural networks J Bouvrie	557	2006
Spectro-temporal analysis of speech using 2-d Gabor filters. T Ezzat, JV Bouvrie, TA Poggio Interspeech, 506-509, 2007	100	2007
Mathematics of the neural response S Smale, L Rosasco, J Bouvrie, A Caponnetto, T Poggio Foundations of Computational Mathematics 10 (1), 67-91, 2010	75	2010
Continuous-Time Stochastic Mirror Descent on a Network: Variance Reduction, Consensus, Convergence M Raginsky, J Bouvrie IEEE Conference on Decision and Control (CDC), 2012	69	2012
Localized spectro-temporal cepstral analysis of speech J Bouvrie, T Ezzat, T Poggio Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE …, 2008	64	2008
On invariance in hierarchical models J Bouvrie, L Rosasco, T Poggio Advances in Neural Information Processing Systems 22, 162-170, 2009	63	2009
Kernel Methods for the Approximation of Nonlinear Systems J Bouvrie, B Hamzi SIAM Journal on Control and Optimization 55 (4), 2460-2492, 2017	46	2017
Noise robust phonetic classification with linear regularized least squares and second-order features R Rifkin, K Schutte, M Saad, J Bouvrie, J Glass Proc. ICASSP, 881-884, 2007	41*	2007
Hierarchical learning: theory with applications in speech and vision JV Bouvrie Massachusetts Institute of Technology, 2009	32	2009
Error weighted classifier combination for multi-modal human identification Y Ivanov, T Serre, J Bouvrie	31	2005
Notes on convolutional neural networks. 2006 J Bouvrie URL http://cogprints. org/5869/1/cnn_tutorial. pdf, 0	28*
Visual object concept discovery: Observations in congenitally blind children, and a computational approach JV Bouvrie, P Sinha Neurocomputing 70 (13-15), 2218-2233, 2007	27	2007
Kernel methods for the approximation of some key quantities of nonlinear systems J Bouvrie, B Hamzi Journal of Computational Dynamics 4 (1&2), 1-19, 2017	25	2017
AM-FM demodulation of spectrograms using localized 2D max-Gabor analysis T Ezzat, J Bouvrie, T Poggio 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007	25	2007
Balanced reduction of nonlinear control systems in reproducing kernel Hilbert space J Bouvrie, B Hamzi 2010 48th Annual Allerton Conference on Communication, Control, and …, 2010	20	2010
An incremental algorithm for signal reconstruction from short-time fourier transform magnitude J Bouvrie, T Ezzat Ninth International Conference on Spoken Language Processing, 2006	19	2006
Synchronization and redundancy: Implications for robustness of neural learning and decision making J Bouvrie, JJ Slotine Neural computation 23 (11), 2915-2941, 2011	15	2011
Biophysical models of neural computation: Max and tuning circuits U Knoblich, J Bouvrie, T Poggio International Workshop on Web Intelligence Meets Brain Informatics, 164-189, 2006	14	2006
Empirical Estimators for Stochastically Forced Nonlinear Systems: Observability, Controllability and the Invariant Measure J Bouvrie, B Hamzi American Control Conference (ACC), 4142-4148, 2012	13	2012
Derived distance: towards a mathematical theory of visual cortex S Smale, T Poggio, A Caponnetto, J Bouvrie Artificial Intelligence, 2007	13	2007

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