25 citations · 73 across the 14 of their papers we have counts for
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cs.LG2020★ 3 cited
Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization
Kelvin Kan, James G Nagy, Lars Ruthotto
We demonstrate the ability of hybrid regularization methods to automatically avoid the double descent phenomenon arising in the training of random feature models (RFM). The hallmar…
math.OC2020★ 6 cited
Limited-angle CT reconstruction via the L1/L2 minimization
Chao Wang, Min Tao, James Nagy +1
In this paper, we consider minimizing the L1/L2 term on the gradient for a limited-angle scanning problem in computed tomography (CT) reconstruction. We design a specific splitting…
math.OC2020★ 4 cited
An ADMM-LAP method for total variation myopic deconvolution of adaptive optics retinal images
Xiaotong Chen, James L. Herring, James G. Nagy +2
Adaptive optics (AO) corrected ood imaging of the retina is a popular technique for studying the retinal structure and function in the living eye. However, the raw retinal images a…