Elke Kirschbaum

19 papers A* 2A 1Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Foundations of Global Consistency Checking with Noisy LLM Oracles.
CoRR
Paul He, Elke Kirschbaum, Shiva Prasad Kasiviswanathan
2025 — conf
Beyond Single-Feature Importance with ICECREAM.
CLeaR
Michael Oesterle, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Elke Kirschbaum
2025 J jnl
From Guess2Graph: When and How Can Unreliable Experts Safely Boost Causal Discovery in Finite Samples?
CoRR
Sujai Hiremath, Dominik Janzing, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Shiva Prasad Kasiviswanathan, Kyra Gan
2025 A* conf
QA-Calibration of Language Model Confidence Scores.
ICLR
Putra Manggala, Atalanti-Anastasia Mastakouri, Elke Kirschbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas
2025 — conf
Score matching through the roof: linear, nonlinear, and latent variables causal discovery.
CLeaR
Francesco Montagna, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Francesco Locatello
2024 J jnl
Estimating Joint interventional distributions from marginal interventional data.
CoRR
Sergio Hernan Garrido Mejia, Elke Kirschbaum, Armin Kekic, Atalanti-Anastasia Mastakouri
2024 J jnl
Score matching through the roof: linear, nonlinear, and latent variables causal discovery.
CoRR
Francesco Montagna, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Francesco Locatello
2024 — conf
The PetShop Dataset - Finding Causes of Performance Issues across Microservices.
CLeaR
Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Elke Kirschbaum, Shiva Prasad Kasiviswanathan
2024 J jnl
β-calibration of Language Model Confidence Scores for Generative QA.
CoRR
Putra Manggala, Atalanti-Anastasia Mastakouri, Elke Kirschbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas
2023 J jnl
Beyond Single-Feature Importance with ICECREAM.
CoRR
Michael Oesterle, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Elke Kirschbaum
2023 J jnl
The PetShop Dataset - Finding Causes of Performance Issues across Microservices.
CoRR
Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Elke Kirschbaum
2022 A* conf
Causal Inference Through the Structural Causal Marginal Problem.
ICML
Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing
2022 J jnl
Causal Inference Through the Structural Causal Marginal Problem.
CoRR
Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing
2022 A conf
Obtaining Causal Information by Merging Datasets with MAXENT.
AISTATS
Sergio Hernan Garrido Mejia, Elke Kirschbaum, Dominik Janzing
2020 — conf
DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging.
MICCAI (5)
Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht
2019 J jnl
DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis.
CoRR
Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht
2019 — conf
LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos.
ICLR (Poster)
Elke Kirschbaum, Manuel Haußmann, Steffen Wolf, Hannah Sonntag, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A. Hamprecht
2019 — —
Novel Machine Learning Approaches for Neurophysiological Data Analysis.
Elke Kirschbaum
2017 — conf
Sparse convolutional coding for neuronal assembly detection.
NIPS
Sven Peter, Elke Kirschbaum, Martin Both, Lee Campbell, Brandon Harvey, Conor Heins, Daniel Durstewitz, Ferran Diego, Fred A. Hamprecht