Elke Kirschbaum

According to our database, Elke Kirschbaum authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

β-calibration of Language Model Confidence Scores for Generative QA.

Putra Manggala, Atalanti-Anastasia Mastakouri, Elke Kirschbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas

CoRR, 2024

Estimating Joint interventional distributions from marginal interventional data.

Sergio Hernan Garrido Mejia, Elke Kirschbaum, Armin Kekic, Atalanti-Anastasia Mastakouri

CoRR, 2024

Score matching through the roof: linear, nonlinear, and latent variables causal discovery.

Francesco Montagna, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Francesco Locatello

CoRR, 2024

The PetShop Dataset - Finding Causes of Performance Issues across Microservices.

Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Elke Kirschbaum, Shiva Prasad Kasiviswanathan

Proceedings of the Causal Learning and Reasoning, 2024

2023

Beyond Single-Feature Importance with ICECREAM.

Michael Oesterle, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Elke Kirschbaum

CoRR, 2023

2022

Causal Inference Through the Structural Causal Marginal Problem.

Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing

Proceedings of the International Conference on Machine Learning, 2022

Obtaining Causal Information by Merging Datasets with MAXENT.

Sergio Hernan Garrido Mejia, Elke Kirschbaum, Dominik Janzing

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging.

Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Novel Machine Learning Approaches for Neurophysiological Data Analysis.

Elke Kirschbaum

PhD thesis, 2019

DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis.

Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht

CoRR, 2019

LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos.

Elke Kirschbaum, Manuel Haußmann, Steffen Wolf, Hannah Sonntag, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A. Hamprecht

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Sparse convolutional coding for neuronal assembly detection.

Sven Peter, Elke Kirschbaum, Martin Both, Lee Campbell, Brandon Harvey, Conor Heins, Daniel Durstewitz, Ferran Diego, Fred A. Hamprecht

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017