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math.OC2024
On uniqueness in structured model learning
Martin Holler, Erion Morina
This paper addresses the problem of uniqueness in learning physical laws for systems of partial differential equations (PDEs). Contrary to most existing approaches, it considers a…
cs.LG2024
On the growth of the parameters of approximating ReLU neural networks
Erion Morina, Martin Holler
This work focuses on the analysis of fully connected feed forward ReLU neural networks as they approximate a given, smooth function. In contrast to conventionally studied universal…