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Elke Kirschbaum
Elke Kirschbaum
Amazon Development Center, Tuebingen
Verified email at amazon.com
Title
Cited by
Cited by
Year
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
212017
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
192020
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
162022
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
142018
Obtaining causal information by merging datasets with MAXENT
SHG Mejia, E Kirschbaum, D Janzing
International Conference on Artificial Intelligence and Statistics, 581-603, 2022
62022
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
32019
Beyond Single-Feature Importance with ICECREAM
M Oesterle, P Blöbaum, AA Mastakouri, E Kirschbaum
arXiv preprint arXiv:2307.09779, 2023
12023
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
12020
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
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