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Adaptive convolution kernel for artificial neural networks
(Academic Press Inc., 2021-02)
Many deep neural networks are built by using stacked convolutional layers of fixed and single size (often 3 × 3) kernels. This paper describes a method for learning the size of convolutional kernels to provide varying size ...
Some boundary Harnack principles with uniform constants
(Springer Science and Business Media B.V., 2022-10)
We prove two versions of a boundary Harnack principle in which the constants do not depend on the domain by using probabilistic methods.