Jake V. Bouvrie

According to our database, Jake V. Bouvrie authored at least 21 papers between 2006 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Kernel Methods for the Approximation of Nonlinear Systems.

Jake V. Bouvrie, Boumediene Hamzi

SIAM J. Control. Optim., 2017

2012

Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning

Jake V. Bouvrie, Mauro Maggioni

CoRR, 2012

Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes.

Jake V. Bouvrie, Jean-Jacques E. Slotine

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Continuous-time stochastic Mirror Descent on a network: Variance reduction, consensus, convergence.

Maxim Raginsky, Jake V. Bouvrie

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Geometric multiscale reduction for autonomous and controlled nonlinear systems.

Jake V. Bouvrie, Mauro Maggioni

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Empirical estimators for stochastically forced nonlinear systems: Observability, controllability and the invariant measure.

Jake V. Bouvrie, Boumediene Hamzi

Proceedings of the American Control Conference, 2012

Efficient solution of Markov decision problems with multiscale representations.

Jake V. Bouvrie, Mauro Maggioni

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

Synchronization and Redundancy: Implications for Robustness of Neural Learning and Decision Making.

Jake V. Bouvrie, Jean-Jacques E. Slotine

Neural Comput., 2011

Model Reduction for Nonlinear Control Systems using Kernel Subspace Methods

Jake V. Bouvrie, Boumediene Hamzi

CoRR, 2011

2010

Mathematics of the Neural Response.

Steve Smale, Lorenzo Rosasco, Jake V. Bouvrie, Andrea Caponnetto, Tomaso A. Poggio

Found. Comput. Math., 2010

On Learning, Uncertainty and Synchronization in Stochastic Neural Ensembles

Jake V. Bouvrie, Jean-Jacques E. Slotine

CoRR, 2010

Balanced reduction of nonlinear control systems in reproducing kernel Hilbert space.

Jake V. Bouvrie, Boumediene Hamzi

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

On Invariance in Hierarchical Models.

Jake V. Bouvrie, Lorenzo Rosasco, Tomaso A. Poggio

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Localized spectro-temporal cepstral analysis of speech.

Jake V. Bouvrie, Tony Ezzat, Tomaso A. Poggio

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Visual object concept discovery: Observations in congenitally blind children, and a computational approach.

Jake V. Bouvrie, Pawan Sinha

Neurocomputing, 2007

Spectro-temporal analysis of speech using 2-d Gabor filters.

Tony Ezzat, Jake V. Bouvrie, Tomaso A. Poggio

Proceedings of the INTERSPEECH 2007, 2007

Noise Robust Phonetic Classificationwith Linear Regularized Least Squares and Second-Order Features.

Ryan Rifkin, Ken Schutte, Michelle Saad, Jake V. Bouvrie, James R. Glass

Proceedings of the IEEE International Conference on Acoustics, 2007

AM-FM Demodulation of Spectrograms using Localized 2D Max-Gabor Analysis.

Tony Ezzat, Jake V. Bouvrie, Tomaso A. Poggio

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Biophysical Models of Neural Computation: Max and Tuning Circuits.

Ulf Knoblich, Jake V. Bouvrie, Tomaso A. Poggio

Proceedings of the Web Intelligence Meets Brain Informatics, 2006

Max-Gabor analysis and synthesis of spectrograms.

Tony Ezzat, Jake V. Bouvrie, Tomaso A. Poggio

Proceedings of the INTERSPEECH 2006, 2006

An incremental algorithm for signal reconstruction from short-time fourier transform magnitude.

Jake V. Bouvrie, Tony Ezzat

Proceedings of the INTERSPEECH 2006, 2006