Formalising the Robustness of Counterfactual Explanations for Neural Networks J Jiang, F Leofante, A Rago, F Toni AAAI 2023, 2023 | 19 | 2023 |
Recourse under Model Multiplicity via Argumentative Ensembling J Jiang, A Rago, F Leofante, F Toni arXiv preprint arXiv:2312.15097, 2023 | 3 | 2023 |
Robust Counterfactual Explanations in Machine Learning: A Survey J Jiang, F Leofante, A Rago, F Toni arXiv preprint arXiv:2402.01928, 2024 | 2 | 2024 |
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation J Jiang, J Lan, F Leofante, A Rago, F Toni Asian Conference on Machine Learning 222, 582-597, 2024 | 1 | 2024 |
Interval Abstractions for Robust Counterfactual Explanations J Jiang, F Leofante, A Rago, F Toni arXiv preprint arXiv:2404.13736, 2024 | | 2024 |
Should counterfactual explanations always be data instances? J Jiang, A Rago, F Toni XLoKR Workshop at KR 2022, 2022 | | 2022 |