An incremental algorithm for signal reconstruction from short-time fourier transform magnitude. - Jake V. Bouvrie; Tony Ezzat (INTERSPEECH, 2006)

Max-Gabor analysis and synthesis of spectrograms. - Tony Ezzat; Jake V. Bouvrie; Tomaso A. Poggio (INTERSPEECH, 2006)

Biophysical Models of Neural Computation: Max and Tuning Circuits. - Ulf Knoblich; Jake V. Bouvrie; Tomaso A. Poggio (WImBI, 2006)

AM-FM Demodulation of Spectrograms using Localized 2D Max-Gabor Analysis. - Tony Ezzat; Jake V. Bouvrie; Tomaso A. Poggio (ICASSP (4), 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 (ICASSP (4), 2007)

Spectro-temporal analysis of speech using 2-d Gabor filters. - Tony Ezzat; Jake V. Bouvrie; Tomaso A. Poggio (INTERSPEECH, 2007)

Visual object concept discovery: Observations in congenitally blind children, and a computational approach. - Jake V. Bouvrie; Pawan Sinha (Neurocomputing, 2007)

Localized spectro-temporal cepstral analysis of speech. - Jake V. Bouvrie; Tony Ezzat; Tomaso A. Poggio (ICASSP, 2008)

On Invariance in Hierarchical Models. - Jake V. Bouvrie; Lorenzo Rosasco; Tomaso A. Poggio (NIPS, 2009)

Balanced reduction of nonlinear control systems in reproducing kernel Hilbert space. - Jake V. Bouvrie; Boumediene Hamzi (Allerton, 2010)

On Learning, Uncertainty and Synchronization in Stochastic Neural Ensembles - Jake V. Bouvrie; Jean-Jacques E. Slotine (CoRR, 2010)

Mathematics of the Neural Response. - Steve Smale; Lorenzo Rosasco; Jake V. Bouvrie; Andrea Caponnetto; Tomaso A. Poggio (Found. Comput. Math., 2010)

Model Reduction for Nonlinear Control Systems using Kernel Subspace Methods - Jake V. Bouvrie; Boumediene Hamzi (CoRR, 2011)

Synchronization and Redundancy: Implications for Robustness of Neural Learning and Decision Making. - Jake V. Bouvrie; Jean-Jacques E. Slotine (Neural Comput., 2011)

Efficient solution of Markov decision problems with multiscale representations. - Jake V. Bouvrie; Mauro Maggioni (Allerton Conference, 2012)

Empirical estimators for stochastically forced nonlinear systems: Observability, controllability and the invariant measure. - Jake V. Bouvrie; Boumediene Hamzi (ACC, 2012)

Geometric multiscale reduction for autonomous and controlled nonlinear systems. - Jake V. Bouvrie; Mauro Maggioni (CDC, 2012)

Continuous-time stochastic Mirror Descent on a network: Variance reduction, consensus, convergence. - Maxim Raginsky; Jake V. Bouvrie (CDC, 2012)

Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes. - Jake V. Bouvrie; Jean-Jacques E. Slotine (NIPS, 2012)

Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning - Jake V. Bouvrie; Mauro Maggioni (CoRR, 2012)

Kernel Methods for the Approximation of Nonlinear Systems. - Jake V. Bouvrie; Boumediene Hamzi (SIAM J. Control. Optim., 2017)