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Frank Nussbaum
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2020 – today
- 2023
- [j2]Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum
, Christoph Staudt:
Mixed membership Gaussians. J. Multivar. Anal. 195: 105141 (2023) - 2022
- [c7]Joachim Giesen, Paul Kahlmeyer, Frank Nussbaum, Sina Zarrieß:
Leveraging the Wikipedia Graph for Evaluating Word Embeddings. IJCAI 2022: 4136-4142 - [c6]Frank Nussbaum, Jakob Gawlikowski, Julia Niebling:
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks. NeurIPS 2022 - 2021
- [c5]Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt, Sina Zarrieß:
Method of Moments for Topic Models with Mixed Discrete and Continuous Features. IJCAI 2021: 2418-2424 - [c4]Frank Nussbaum, Joachim Giesen:
Robust principal component analysis for generalized multi-view models. UAI 2021: 686-695 - 2020
- [j1]Frank Nussbaum, Joachim Giesen:
Pairwise sparse + low-rank models for variables of mixed type. J. Multivar. Anal. 178: 104601 (2020) - [c3]Frank Nussbaum, Joachim Giesen:
Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models. IJCAI 2020: 2241-2247
2010 – 2019
- 2019
- [c2]Frank Nussbaum, Joachim Giesen:
Ising Models with Latent Conditional Gaussian Variables. ALT 2019: 669-681 - [c1]Joachim Giesen, Frank Nussbaum
, Christopher Schneider:
Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization. IJCAI 2019: 2378-2384 - [i1]Frank Nussbaum, Joachim Giesen:
Ising Models with Latent Conditional Gaussian Variables. CoRR abs/1901.09712 (2019)
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