Search Results for author: Sean M. Perkins

Found 1 papers, 1 papers with code

Deep Random Splines for Point Process Intensity Estimation of Neural Population Data

2 code implementations NeurIPS 2019 Gabriel Loaiza-Ganem, Sean M. Perkins, Karen E. Schroeder, Mark M. Churchland, John P. Cunningham

Gaussian processes are the leading class of distributions on random functions, but they suffer from well known issues including difficulty scaling and inflexibility with respect to certain shape constraints (such as nonnegativity).

Dimensionality Reduction Gaussian Processes +1

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