72 citations · 140 across the 13 of their papers we have counts for
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cs.LG2023★ 1 cited
LU-Net: Invertible Neural Networks Based on Matrix Factorization
Robin Chan, Sarina Penquitt, Hanno Gottschalk
LU-Net is a simple and fast architecture for invertible neural networks (INN) that is based on the factorization of quadratic weight matrices , where is…
cs.LG2022★ 4 cited
What should AI see? Using the Public's Opinion to Determine the Perception of an AI
Robin Chan, Radin Dardashti, Meike Osinski +7
Deep neural networks (DNN) have made impressive progress in the interpretation of image data, so that it is conceivable and to some degree realistic to use them in safety critical…