EDISON-WMW: exact dynamic programing solution of the Wilcoxon–Mann–Whitney test A Marx, C Backes, E Meese, HP Lenhof, A Keller Genomics, Proteomics and Bioinformatics 14 (1), 55-61, 2016 | 138 | 2016 |
Telling Cause from Effect using MDL-based Local and Global Regression A Marx, J Vreeken 2017 IEEE International Conference on Data Mining (ICDM), 307–316, 2017 | 53 | 2017 |
On the identifiability and estimation of causal location-scale noise models A Immer, C Schultheiss, JE Vogt, B Schölkopf, P Bühlmann, A Marx International Conference on Machine Learning, 14316-14332, 2023 | 33 | 2023 |
Testing Conditional Independence on Discrete Data using Stochastic Complexity A Marx, J Vreeken The 22nd International Conference on Artificial Intelligence and Statistics, 2019 | 32 | 2019 |
Discovering Fully Oriented Causal Networks O Mian, A Marx, J Vreeken Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021 | 28 | 2021 |
Identifiability of Cause and Effect using Regularized Regression A Marx, J Vreeken SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019 | 26 | 2019 |
Identifiability Results for Multimodal Contrastive Learning I Daunhawer, A Bizeul, E Palumbo, A Marx, JE Vogt International Conference on Learning Representations, 2023 | 22 | 2023 |
Estimating conditional mutual information for discrete-continuous mixtures using multi-dimensional adaptive histograms A Marx, L Yang, M van Leeuwen Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 21 | 2021 |
Inferring Cause and Effect in the Presence of Heteroscedastic Noise S Xu, OA Mian, A Marx, J Vreeken International Conference on Machine Learning, 24615-24630, 2022 | 20* | 2022 |
Causal Inference on Multivariate and Mixed-Type Data A Marx, J Vreeken Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 20 | 2019 |
Integrative analysis of epigenetics data identifies gene-specific regulatory elements F Schmidt, A Marx, N Baumgarten, M Hebel, M Wegner, M Kaulich, ... Nucleic Acids Research 49 (18), 10397-10418, 2021 | 19 | 2021 |
A Weaker Faithfulness Assumption based on Triple Interactions A Marx, A Gretton, JM Mooij Conference on Uncertainty in Artificial Intelligence (UAI), 2021 | 17 | 2021 |
Telling cause from effect by local and global regression A Marx, J Vreeken Knowledge and Information Systems 60 (3), 1277-1305, 2019 | 17 | 2019 |
Formally Justifying MDL-based Inference of Cause and Effect A Marx, J Vreeken AAAI'22 Workshop on Information-Theoretic Methods for Causal Inference and …, 2022 | 14 | 2022 |
Beyond normal: On the evaluation of mutual information estimators P Czyż, F Grabowski, J Vogt, N Beerenwinkel, A Marx Advances in Neural Information Processing Systems 36, 2024 | 11 | 2024 |
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks A Immer, E Palumbo, A Marx, J Vogt Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Causal Discovery by Telling Apart Parents and Children A Marx, J Vreeken arXiv preprint arXiv:1808.06356, 2018 | 3 | 2018 |
Blood glucose forecasting from temporal and static information in children with T1D A Marx, F Di Stefano, H Leutheuser, K Chin-Cheong, M Pfister, ... Frontiers in Pediatrics 11, 1296904, 2023 | 2 | 2023 |
Estimating Mutual Information via Geodesic kNN A Marx, J Fischer Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 2 | 2022 |
Stochastic complexity for testing conditional independence on discrete data A Marx, J Vreeken Proceedings of the NeurIPS 2018 Workshop on Causal Learning, 2018 | 2 | 2018 |