Computing higher order derivatives of matrix and tensor expressions S Laue, M Mitterreiter, J Giesen Advances in neural information processing systems 31, 2018 | 60 | 2018 |
A simple and efficient tensor calculus S Laue, M Mitterreiter, J Giesen Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4527-4534, 2020 | 53 | 2020 |
GENO--GENeric Optimization for Classical Machine Learning S Laue, M Mitterreiter, J Giesen Advances in Neural Information Processing Systems 32, 2019 | 28 | 2019 |
Why capsule neural networks do not scale: Challenging the dynamic parse-tree assumption M Mitterreiter, M Koch, J Giesen, S Laue Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9209-9216, 2023 | 8 | 2023 |
MatrixCalculus. org–Computing Derivatives of Matrix and Tensor Expressions S Laue, M Mitterreiter, J Giesen Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 5 | 2020 |
GRay: Ray Casting for Visualization and Interactive Data Exploration of Gaussian Mixture Models K Lawonn, M Meuschke, P Eulzer, M Mitterreiter, J Giesen, T Günther IEEE Transactions on Visualization and Computer Graphics 29 (1), 526-536, 2022 | 3 | 2022 |
Fast Entity Resolution With Mock Labels and Sorted Integer Sets. M Blacher, J Giesen, S Laue, J Klaus, M Mitterreiter DI2KG@ VLDB 2726, 2020 | 2 | 2020 |
A simple and efficient tensor calculus for machine learning S Laue, M Mitterreiter, J Giesen Fundamenta Informaticae 177 (2), 157-179, 2020 | 2 | 2020 |
Method of Moments for Topic Models with Mixed Discrete and Continuous Features. J Giesen, P Kahlmeyer, S Laue, M Mitterreiter, F Nussbaum, C Staudt, ... IJCAI, 2418-2424, 2021 | 1 | 2021 |
GENO–Optimization for Classical Machine Learning Made Fast and Easy S Laue, M Mitterreiter, J Giesen Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13620 …, 2020 | 1 | 2020 |
Mixed membership Gaussians J Giesen, P Kahlmeyer, S Laue, M Mitterreiter, F Nussbaum, C Staudt Journal of Multivariate Analysis 195, 105141, 2023 | | 2023 |
Optimization frameworks for machine learning: Examples and case study J Giesen, S Laue, M Mitterreiter it-Information Technology 62 (3-4), 169-180, 2020 | | 2020 |
GENO–Optimization for Machine Learning Made Fast and Easy S Laue, M Mitterreiter, J Giesen | | |