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20202022
most citedDemystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization

9 citations · 27 across the 8 of their papers we have counts for

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cs.LG2020★ 6 cited

Convex Regularization Behind Neural Reconstruction

Arda Sahiner, Morteza Mardani, Batu Ozturkler +2

Neural networks have shown tremendous potential for reconstructing high-resolution images in inverse problems. The non-convex and opaque nature of neural networks, however, hinders…

cs.LG2020★ 3 cited

Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms

Arda Sahiner, Tolga Ergen, John Pauly +1

We describe the convex semi-infinite dual of the two-layer vector-output ReLU neural network training problem. This semi-infinite dual admits a finite dimensional representation, b…