2 papers
stat.ML2025
Individualised Counterfactual Examples Using Conformal Prediction Intervals
James M. Adams, Gesine Reinert, Lukasz Szpruch +2
Counterfactual explanations for black-box models aim to pr ovide insight into an algorithmic decision to its recipient. For a binary classification problem an individual counterfac…
cs.LG2024
L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders
Ruikang Ouyang, Andrew Elliott, Stratis Limnios +2
For analysing real-world networks, graph representation learning is a popular tool. These methods, such as a graph autoencoder (GAE), typically rely on low-dimensional representati…