51 citations · 140 across the 11 of their papers we have counts for
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cs.LG2019
A Numerical Investigation of the Minimum Width of a Neural Network
Ibrohim Nosirov, Jeffrey M. Hokanson
Neural network width and depth are fundamental aspects of network topology. Universal approximation theorems provide that with increasing width or depth, there exists a neural netw…
math.NA2019★ 3 cited
A Lipschitz Matrix for Parameter Reduction in Computational Science
Jeffrey M. Hokanson, Paul G. Constantine
We introduce the Lipschitz matrix: a generalization of the scalar Lipschitz constant for functions with many inputs. Among the Lipschitz matrices compatible a particular function,…