C. Webster

activity

20182021

most citedAnalysis of Deep Neural Networks with Quasi-optimal polynomial approximation rates

4 citations · 6 across the 4 of their papers we have counts for

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2 papers · 1 filter

math.NA2020

Analysis of The Ratio of $ℓ_{1}$ and $ℓ_{2}$ Norms in Compressed Sensing

Yiming Xu, Akil Narayan, Hoang Tran +1

We first propose a novel criterion that guarantees that an $s$ -sparse signal is the local minimizer of the $ℓ_{1} / ℓ_{2}$ objective; our criterion is interpretable and useful in p…

math.NA2019★ 4 cited

Analysis of Deep Neural Networks with Quasi-optimal polynomial approximation rates

Joseph Daws, Clayton Webster

We show the existence of a deep neural network capable of approximating a wide class of high-dimensional approximations. The construction of the proposed neural network is based on…

Analysis of The Ratio of ℓ1​ and ℓ2​ Norms in Compressed Sensing

Analysis of Deep Neural Networks with Quasi-optimal polynomial approximation rates

Analysis of The Ratio of $ℓ_{1}$ and $ℓ_{2}$ Norms in Compressed Sensing