Jake Bouvrie
About
Jake Bouvrie has authored 11 papers that have received a total of 173 indexed citations.
This includes 6 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 3 papers in Cognitive Neuroscience. The topics of these papers are Neural dynamics and brain function (3 papers), Model Reduction and Neural Networks (3 papers) and Neural Networks and Applications (3 papers). Jake Bouvrie is often cited by papers focused on Neural dynamics and brain function (3 papers), Model Reduction and Neural Networks (3 papers) and Neural Networks and Applications (3 papers) and collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Jake Bouvrie's co-authors include Tony Ezzat, Tomaso Poggio, Boumediene Hamzi, Jean-Jacques Slotine and Lorenzo Rosasco and has published in prestigious journals such as Neural Computation, Neurocomputing and SIAM Journal on Control and Optimization
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