Wekadeeplearning4j: A deep learning package for weka based on deeplearning4j S Lang, F Bravo-Marquez, C Beckham, M Hall, E Frank Knowledge-Based Systems 178, 48-50, 2019 | 145 | 2019 |
Einsum networks: Fast and scalable learning of tractable probabilistic circuits R Peharz, S Lang, A Vergari, K Stelzner, A Molina, M Trapp, ... International Conference on Machine Learning, 7563-7574, 2020 | 120 | 2020 |
CLEVA-compass: A continual learning evaluation assessment compass to promote research transparency and comparability M Mundt, S Lang, Q Delfosse, K Kersting arXiv preprint arXiv:2110.03331, 2021 | 38 | 2021 |
DAFNe: A one-stage anchor-free approach for oriented object detection S Lang, F Ventola, K Kersting arXiv preprint arXiv:2109.06148, 2021 | 35 | 2021 |
Probabilistic circuits that know what they don’t know F Ventola, S Braun, Y Zhongjie, M Mundt, K Kersting Uncertainty in Artificial Intelligence, 2157-2167, 2023 | 6 | 2023 |
Elevating perceptual sample quality in PCs through differentiable sampling S Lang, M Mundt, F Ventola, R Peharz, K Kersting NeurIPS 2021 workshop on pre-registration in machine learning, 1-25, 2022 | 5 | 2022 |
Deep Classifier Mimicry without Data Access S Braun, M Mundt, K Kersting International Conference on Artificial Intelligence and Statistics, 4762-4770, 2024 | 1 | 2024 |
Towards Coreset Learning in Probabilistic Circuits M Trapp, S Lang, A Shah, M Mundt, K Kersting, A Solin The 5th Workshop on Tractable Probabilistic Modeling, 2022 | | 2022 |