Towards best practice in explaining neural network decisions with LRP M Kohlbrenner, A Bauer, S Nakajima, A Binder, W Samek, S Lapuschkin 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 161 | 2020 |
Pre-training cnns using convolutional autoencoders M Kohlbrenner, R Hofmann, S Ahmmed, Y Kashef TU Berlin, Berlin, Germany, 2017 | 19 | 2017 |
Properties of Laplace operators for tetrahedral meshes M Alexa, P Herholz, M Kohlbrenner, O Sorkine‐Hornung Computer Graphics Forum 39 (5), 55-68, 2020 | 17 | 2020 |
Gauss stylization: Interactive artistic mesh modeling based on preferred surface normals M Kohlbrenner, U Finnendahl, T Djuren, M Alexa Computer Graphics Forum 40 (5), 33-43, 2021 | 8 | 2021 |
Computer Graphik I M Alexa, G Fer-Arslan, D Bogiokas, T Djuren, U Finnendahl, ... Globale Beleuchtung–Ray Tracing (http://www. cg. tu-berlin. de/uploads/media …, 0 | 3 | |
K-Surfaces: B\'{e} zier-Splines Interpolating at Gaussian Curvature Extrema T Djuren, M Kohlbrenner, M Alexa, M Worchel, M Alexa, U Finnendahl, ... ACM Transactions on Graphics 42 (6), 2023 | 1 | 2023 |
Poisson Manifold Reconstruction—Beyond Co‐dimension One M Kohlbrenner, S Lee, M Alexa, M Kazhdan Computer Graphics Forum 42 (5), e14907, 2023 | | 2023 |