Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features. - Lars H. B. Olsen; Ingrid Kristine Glad; Martin Jullum; Kjersti Aas (J. Mach. Learn. Res., 2022)

A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them. - Lars Henry Berge Olsen; Ingrid Kristine Glad; Martin Jullum; Kjersti Aas (CoRR, 2023)

Precision of Individual Shapley Value Explanations. - Lars Henry Berge Olsen (CoRR, 2023)

Improving the Sampling Strategy in KernelSHAP. - Lars Henry Berge Olsen; Martin Jullum (CoRR, 2024)

A comparative study of methods for estimating model-agnostic Shapley value explanations. - Lars Henry Berge Olsen; Ingrid Kristine Glad; Martin Jullum; Kjersti Aas (Data Min. Knowl. Discov., 2024)

shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python. - Martin Jullum; Lars Henry Berge Olsen; Jon Lachmann; Annabelle Redelmeier (CoRR, 2025)