| Variational methods for simulation-based inference M Glöckler, M Deistler, JH Macke arXiv preprint arXiv:2203.04176, 2022 | 48 | 2022 |
| All-in-one simulation-based inference M Gloeckler, M Deistler, C Weilbach, F Wood, JH Macke arXiv preprint arXiv:2404.09636, 2024 | 12 | 2024 |
| Adversarial robustness of amortized Bayesian inference M Gloeckler, M Deistler, JH Macke arXiv preprint arXiv:2305.14984, 2023 | 10 | 2023 |
| Towards the human nasal microbiome: Simulating D. pigrum and S. aureus R Mostolizadeh, M Glöckler, A Dräger Frontiers in cellular and infection microbiology 12, 925215, 2022 | 8 | 2022 |
| NCMW: a python package to analyze metabolic interactions in the nasal microbiome M Glöckler, A Dräger, R Mostolizadeh Frontiers in Bioinformatics 2, 827024, 2022 | 7 | 2022 |
| A practical guide to sample-based statistical distances for evaluating generative models in science S Bischoff, A Darcher, M Deistler, R Gao, F Gerken, M Gloeckler, L Haxel, ... Transactions on Machine Learning Research, 2024 | 6* | 2024 |
| Inferring stochastic low-rank recurrent neural networks from neural data M Pals, AE Sağtekin, F Pei, M Gloeckler, JH Macke arXiv preprint arXiv:2406.16749, 2024 | 3 | 2024 |
| Hierarchical modelling of microbial communities M Glöckler, A Dräger, R Mostolizadeh Bioinformatics 39 (1), btad040, 2023 | 1 | 2023 |
| sbi reloaded: a toolkit for simulation-based inference workflows J Boelts, M Deistler, M Gloeckler, Á Tejero-Cantero, JM Lueckmann, ... arXiv preprint arXiv:2411.17337, 2024 | | 2024 |
| Compositional simulation-based inference for time series M Gloeckler, S Toyota, K Fukumizu, JH Macke arXiv preprint arXiv:2411.02728, 2024 | | 2024 |
| Differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics M Deistler, KL Kadhim, M Pals, J Beck, Z Huang, M Gloeckler, ... bioRxiv, 2024.08. 21.608979, 2024 | | 2024 |
Jakob MackeMachine Learning in Science, Tübingen UniversityVerified email at uni-tuebingen.de
