Ising models with latent conditional Gaussian variables F Nussbaum, J Giesen Algorithmic Learning Theory, 669-681, 2019 | 7 | 2019 |
Pairwise sparse+ low-rank models for variables of mixed type F Nussbaum, J Giesen Journal of Multivariate Analysis 178, 104601, 2020 | 6 | 2020 |
Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization. J Giesen, F Nussbaum, C Schneider IJCAI, 2378-2384, 2019 | 4 | 2019 |
Structuring uncertainty for fine-grained sampling in stochastic segmentation networks F Nussbaum, J Gawlikowski, J Niebling Advances in Neural Information Processing Systems 35, 27678-27691, 2022 | 1 | 2022 |
Leveraging the Wikipedia Graph for Evaluating Word Embeddings. J Giesen, P Kahlmeyer, F Nussbaum, S Zarrieß IJCAI, 4136-4142, 2022 | 1 | 2022 |
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 |
Mixed membership Gaussians J Giesen, P Kahlmeyer, S Laue, M Mitterreiter, F Nussbaum, C Staudt Journal of Multivariate Analysis 195, 105141, 2023 | | 2023 |
A Comprehensive Review of AI Myths and Misconceptions FG Nussbaum | | 2023 |
Successful Communication of Complex Information FG Nussbaum | | 2023 |
Robust principal component analysis for generalized multi-view models F Nussbaum, J Giesen Uncertainty in Artificial Intelligence, 686-695, 2021 | | 2021 |
Disentangling direct and indirect interactions in polytomous item response theory models F Nussbaum, J Giesen Proceedings of the Twenty-Ninth International Conference on International …, 2021 | | 2021 |
Models with low-rank and group-sparse components and their recovery via convex optimization F Nussbaum Friedrich-Schiller-University, Jena, 2021 | | 2021 |