458 citations · 893 across the 37 of their papers we have counts for
4 papers · 1 filter
Harmless interpolation in regression and classification with structured features
Andrew D. McRae, Santhosh Karnik, Mark A. Davenport +1
Overparametrized neural networks tend to perfectly fit noisy training data yet generalize well on test data. Inspired by this empirical observation, recent work has sought to under…
Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer
Andrew D. McRae, Justin Romberg, Mark A. Davenport
We present novel analysis and algorithms for solving sparse phase retrieval and sparse principal component analysis (PCA) with convex lifted matrix formulations. The key innovation…
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Feng Zhu, Andrew R. Sedler, Harrison A. Grier +5
Modern neural interfaces allow access to the activity of up to a million neurons within brain circuits. However, bandwidth limits often create a trade-off between greater spatial s…
Thomson's Multitaper Method Revisited
Santhosh Karnik, Justin Romberg, Mark A. Davenport
Thomson's multitaper method estimates the power spectrum of a signal from equally spaced samples by averaging tapered periodograms. Discrete prolate spheroidal sequences (D…