Mikaël Monet

THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS

Pablo Barceló, Egor V. Kostylev, Mikaël Monet et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2020 · 101 citations · Full text

Model Interpretability through the Lens of Computational Complexity

Pablo Barceló, Mikaël Monet, Jorge A. Pérez et al. · arXiv (Cornell University) · 2020 · 38 citations · Full text

Cognitive Science, Engineering, Computational Complexity Theory +14

Computing the Shapley Value of Facts in Query Answering

Daniel Deutch, Nave Frost, Benny Kimelfeld et al. · Proceedings of the 2022 International Conference on Management of Data · 2022 · 27 citations

Engineering, Query Model, Semantic Web +18

The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits

Marcelo Arenas, Pablo Barceló, Leopoldo Bertossi et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 22 citations · Full text

Circuit Complexity, Engineering, Boolean Function +19

The Shapley Value in Database Management

Leopoldo Bertossi, Benny Kimelfeld, Ester Livshits et al. · ACM SIGMOD Record · 2023 · 18 citations · Full text

Engineering, Business Intelligence, Game Theory +20