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LU-Net is a simple and fast architecture for invertible neural networks (INN) that is based on the factorization of quadratic weight matrices $\mathsf{A=LU}$, where $\mathsf{L}$ is a lower triangular matrix with ones on the diagonal and $\mathsf{U}$ an upper triangular matrix.
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PhD thesis, Universität Wuppertal, Fakultät für Mathematik und Naturwissenschaften, 2022
R. Chan, Detecting Anything Overlooked in Semantic Segmentation · 2022
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