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cs.LG2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods
Tobias Alt, Karl Schrader, Joachim Weickert +2
Partial differential equation (PDE) models and their associated variational energy formulations are often rotationally invariant by design. This ensures that a rotation of the inpu…
cs.LG2020★ 4 cited
Translating Diffusion, Wavelets, and Regularisation into Residual Networks
Tobias Alt, Joachim Weickert, Pascal 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 de…