469 citations
- Helmholtz MunichDE6 papers
- Technical University of MunichDE4 papers
- Deutsches Konsortium für Translationale KrebsforschungDE3 papers
- King's College LondonGB3 papers
- University of ZurichCH3 papers
- Broad InstituteUS2 papers
- Centre Inria de SaclayFR2 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR2 papers
- DKFZ-ZMBH AllianceDE2 papers
- European Molecular Biology LaboratoryDE2 papers
- European Society for Medical OncologyCH2 papers
- Frankfurt Cancer InstituteDE2 papers
9 papers
Playing repeated games with Large Language Models
Elif Akata, Lion Schulz, Julian Coda-Forno +3
LLMs are increasingly used in applications where they interact with humans and other agents. We propose to use behavioural game theory to study LLM's cooperation and coordination b…
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner +75
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation int…
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein, Annika Reinke, Patrick Godau +71
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen…
blob loss: instance imbalance aware loss functions for semantic segmentation
Florian Kofler, Suprosanna Shit, Ivan Ezhov +14
Deep convolutional neural networks (CNN) have proven to be remarkably effective in semantic segmentation tasks. Most popular loss functions were introduced targeting improved volum…
Grading of Mammalian Cumulus Oocyte Complexes using Machine Learning for in Vitro Embryo Culture
Viswanath P Sudarshan, Tobias Weiser, Phalgun Chintala +2
Visual observation of Cumulus Oocyte Complexes provides only limited information about its functional competence, whereas the molecular evaluations methods are cumbersome or costly…
Likelihood based observability analysis and confidence intervals for predictions of dynamic models
Clemens Kreutz, Andreas Raue, Jens Timmer
Mechanistic dynamic models of biochemical networks such as Ordinary Differential Equations (ODEs) contain unknown parameters like the reaction rate constants and the initial concen…