4 citations · 6 across the 3 of their papers we have counts for
4 papers
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…
Adversarial Distribution Balancing for Counterfactual Reasoning
Stefan Schrod, Fabian Sinz, Michael Altenbuchinger
The development of causal prediction models is challenged by the fact that the outcome is only observable for the applied (factual) intervention and not for its alternatives (the s…
FACT: Federated Adversarial Cross Training
Stefan Schrod, Jonas Lippl, Andreas Schäfer +1
Federated Learning (FL) facilitates distributed model development to aggregate multiple confidential data sources. The information transfer among clients can be compromised by dist…
BITES: Balanced Individual Treatment Effect for Survival data
Stefan Schrod, Andreas Schäfer, Stefan Solbrig +7
Estimating the effects of interventions on patient outcome is one of the key aspects of personalized medicine. Their inference is often challenged by the fact that the training dat…