6 citations · 6 across the 4 of their papers we have counts for
4 papers
Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution
Karol Dobiczek, Maciej Mozolewski, Szymon Bobek +3
Deep learning models for 12-lead electrocardiogram (ECG) analysis achieve high diagnostic performance but lack the intuitive interpretability required for clinical integration. Sta…
Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions
Bartlomiej Sobieski, Jakub Grzywaczewski, Karol Dobiczek +6
Lung cancer remains the leading cause of cancer mortality, driving the development of automated screening tools to alleviate radiologist workload. Standing at the frontier of this…
Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks
Aleksander Buszydlik, Karol Dobiczek, Michał Teodor Okoń +3
We consider the problem of red teaming LLMs on elementary calculations and algebraic tasks to evaluate how various prompting techniques affect the quality of outputs. We present a…
Endogenous Macrodynamics in Algorithmic Recourse
Patrick Altmeyer, Giovan Angela, Aleksander Buszydlik +3
Existing work on Counterfactual Explanations (CE) and Algorithmic Recourse (AR) has largely focused on single individuals in a static environment: given some estimated model, the g…