21 citations · 35 across the 10 of their papers we have counts for
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stat.ML2022
Neural Network Approximation of Continuous Functions in High Dimensions with Applications to Inverse Problems
Santhosh Karnik, Rongrong Wang, Mark Iwen
The remarkable successes of neural networks in a huge variety of inverse problems have fueled their adoption in disciplines ranging from medical imaging to seismic analysis over th…
stat.ML2021
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…