Weak* Solutions II: The Vacuum in Lagrangian Gas Dynamics. - Alexey Miroshnikov; Robin Young (SIAM J. Math. Anal., 2017)

Mutual information-based group explainers with coalition structure for machine learning model explanations. - Alexey Miroshnikov; Konstandinos Kotsiopoulos; Arjun Ravi Kannan (CoRR, 2021)

Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics. - Alexey Miroshnikov; Konstandinos Kotsiopoulos; Ryan Franks; Arjun Ravi Kannan (CoRR, 2021)

Wasserstein-based fairness interpretability framework for machine learning models. - Alexey Miroshnikov; Konstandinos Kotsiopoulos; Ryan Franks; Arjun Ravi Kannan (Mach. Learn., 2022)

On marginal feature attributions of tree-based models. - Khashayar Filom; Alexey Miroshnikov; Konstandinos Kotsiopoulos; Arjun Ravi Kannan (CoRR, 2023)

Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features. - Konstandinos Kotsiopoulos; Alexey Miroshnikov; Khashayar Filom; Arjun Ravi Kannan (CoRR, 2023)

Explainable post-training bias mitigation with distribution-based fairness metrics. - Ryan Franks; Alexey Miroshnikov (CoRR, 2025)