3 citations · 5 across the 17 of their papers we have counts for
4 papers · 1 filter
Mitigating Spurious Correlations in Patch-wise Tumor Classification on High-Resolution Multimodal Images
Ihab Asaad, Maha Shadaydeh, Joachim Denzler
Patch-wise multi-label classification provides an efficient alternative to full pixel-wise segmentation on high-resolution images, particularly when the objective is to determine t…
Group Interventions on Deep Networks for Causal Discovery in Subsystems
Wasim Ahmad, Joachim Denzler, Maha Shadaydeh
Causal discovery uncovers complex relationships between variables, enhancing predictions, decision-making, and insights into real-world systems, especially in nonlinear multivariat…
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series
Gideon Stein, Maha Shadaydeh, Jan Blunk +2
Causal discovery, or identifying causal relationships from observational data, is a notoriously challenging task, with numerous methods proposed to tackle it. Despite this, in-the-…
Gradient Extrapolation for Debiased Representation Learning
Ihab Asaad, Maha Shadaydeh, Joachim Denzler
Machine learning classification models trained with empirical risk minimization (ERM) often inadvertently rely on spurious correlations. When absent in the test data, these uninten…