2 papers
q-bio.GN2026
Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement
Abdul Moeed, Stefan Schrod, Martin Rohbeck +4
Tissue graph counterfactuals ask how a cell's expression would change under altered spatial neighbor contexts. Such queries are central to predicting cell behavior in tissues, but…
cs.LG2025
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning
Jens Müller, Lars Kühmichel, Martin Rohbeck +2
In this work, we analyze the conditions under which information about the context of an input can improve the predictions of deep learning models in new domains. Following work…