Sparse convolutional coding for neuronal assembly detection S Peter, E Kirschbaum, M Both, L Campbell, B Harvey, C Heins, ... Advances in Neural Information Processing Systems 30, 2017 | 21 | 2017 |
Disco: deep learning, instance segmentation, and correlations for cell segmentation in calcium imaging E Kirschbaum, A Bailoni, FA Hamprecht Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 20 | 2020 |
Causal inference through the structural causal marginal problem L Gresele, J Von Kügelgen, J Kübler, E Kirschbaum, B Schölkopf, ... International Conference on Machine Learning, 7793-7824, 2022 | 17 | 2022 |
LeMoNADe: Learned motif and neuronal assembly detection in calcium imaging videos E Kirschbaum, M Haußmann, S Wolf, H Sonntag, J Schneider, S Elzoheiry, ... arXiv preprint arXiv:1806.09963, 2018 | 14 | 2018 |
Obtaining causal information by merging datasets with MAXENT SHG Mejia, E Kirschbaum, D Janzing International Conference on Artificial Intelligence and Statistics, 581-603, 2022 | 6 | 2022 |
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging E Kirschbaum, A Bailoni, FA Hamprecht arXiv preprint arXiv:1908.07957, 2019 | 4 | 2019 |
DISCo for the CIA: deep learning, instance segmentation, and correlations for calcium imaging analysis E Kirschbaum, A Bailoni, FA Hamprecht Preprint at https://arxiv. org/abs/1908.07957 v4, 2020 | 2 | 2020 |
Beyond Single-Feature Importance with ICECREAM M Oesterle, P Blöbaum, AA Mastakouri, E Kirschbaum arXiv preprint arXiv:2307.09779, 2023 | 1 | 2023 |
The PetShop Dataset--Finding Causes of Performance Issues across Microservices M Hardt, W Orchard, P Blöbaum, S Kasiviswanathan, E Kirschbaum arXiv preprint arXiv:2311.04806, 2023 | | 2023 |
Obtaining Causal Information by Merging Datasets with MAXENT S Hernan Garrido Mejia, E Kirschbaum, D Janzing arXiv e-prints, arXiv: 2107.07640, 2021 | | 2021 |