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Elke Kirschbaum
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2020 – today
- 2024
- [c6]Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Elke Kirschbaum, Shiva Prasad Kasiviswanathan:
The PetShop Dataset - Finding Causes of Performance Issues across Microservices. CLeaR 2024: 957-978 - [i7]Francesco Montagna, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Francesco Locatello:
Score matching through the roof: linear, nonlinear, and latent variables causal discovery. CoRR abs/2407.18755 (2024) - [i6]Sergio Hernan Garrido Mejia, Elke Kirschbaum, Armin Kekic, Atalanti-Anastasia Mastakouri:
Estimating Joint interventional distributions from marginal interventional data. CoRR abs/2409.01794 (2024) - [i5]Putra Manggala, Atalanti-Anastasia Mastakouri, Elke Kirschbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas:
β-calibration of Language Model Confidence Scores for Generative QA. CoRR abs/2410.06615 (2024) - 2023
- [i4]Michael Oesterle, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Elke Kirschbaum:
Beyond Single-Feature Importance with ICECREAM. CoRR abs/2307.09779 (2023) - [i3]Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Elke Kirschbaum:
The PetShop Dataset - Finding Causes of Performance Issues across Microservices. CoRR abs/2311.04806 (2023) - 2022
- [c5]Sergio Hernan Garrido Mejia, Elke Kirschbaum, Dominik Janzing:
Obtaining Causal Information by Merging Datasets with MAXENT. AISTATS 2022: 581-603 - [c4]Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing:
Causal Inference Through the Structural Causal Marginal Problem. ICML 2022: 7793-7824 - [i2]Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing:
Causal Inference Through the Structural Causal Marginal Problem. CoRR abs/2202.01300 (2022) - 2020
- [c3]Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht:
DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging. MICCAI (5) 2020: 151-162
2010 – 2019
- 2019
- [b1]Elke Kirschbaum:
Novel Machine Learning Approaches for Neurophysiological Data Analysis. University of Heidelberg, Germany, 2019 - [c2]Elke Kirschbaum, Manuel Haußmann, Steffen Wolf, Hannah Sonntag, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A. Hamprecht:
LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos. ICLR (Poster) 2019 - [i1]Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht:
DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis. CoRR abs/1908.07957 (2019) - 2017
- [c1]Sven Peter, Elke Kirschbaum, Martin Both, Lee Campbell, Brandon Harvey, Conor Heins, Daniel Durstewitz, Ferran Diego, Fred A. Hamprecht:
Sparse convolutional coding for neuronal assembly detection. NIPS 2017: 3675-3685
Coauthor Index
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