Translating Diffusion, Wavelets, and Regularisation into Residual Networks

7 Feb 2020Tobias AltJoachim WeickertPascal Peter

Convolutional neural networks (CNNs) often perform well, but their stability is poorly understood. To address this problem, we consider the simple prototypical problem of signal denoising, where classical approaches such as nonlinear diffusion, wavelet-based methods and regularisation offer provable stability guarantees... (read more)

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