Improving Counterfactual Reasoning

Jayaraman explains how generative models, specifically variational auto encoders, are used to synthesize counterfactual outcomes in the context of medical imaging. By understanding the variations among healthy and infected patients, the model can generate new images and provide insights into the reliability of different prediction methods.