Theo dõi
Junqi Jiang
Junqi Jiang
PhD Candidate, Imperial College London
Email được xác minh tại imperial.ac.uk - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Formalising the Robustness of Counterfactual Explanations for Neural Networks
J Jiang, F Leofante, A Rago, F Toni
AAAI 2023, 2023
342023
Robust Counterfactual Explanations in Machine Learning: A Survey
J Jiang, F Leofante, A Rago, F Toni
IJCAI 2024, 2024
132024
Recourse under Model Multiplicity via Argumentative Ensembling
J Jiang, A Rago, F Leofante, F Toni
AAMAS 2024, 2024
102024
Contestable AI needs Computational Argumentation
F Leofante, H Ayoobi, A Dejl, G Freedman, D Gorur, J Jiang, ...
KR 2024, 2024
62024
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation
J Jiang, J Lan, F Leofante, A Rago, F Toni
ACML 2023, 2023
52023
Interval Abstractions for Robust Counterfactual Explanations
J Jiang, F Leofante, A Rago, F Toni
Artificial Intelligence 336, 104218, 2024
12024
RobustX: Robust Counterfactual Explanations Made Easy
J Jiang, L Marzari, A Purohit, F Leofante
arXiv preprint arXiv:2502.13751, 2025
2025
Explainable Reinforcement Learning for Formula One Race Strategy
D Thomas, J Jiang, A Kori, A Russo, S Winkler, S Sale, J McMillan, ...
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (SAC 2025), 2025
2025
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy
J Todd, J Jiang, A Russo, S Winkler, S Sale, J McMillan, A Rago
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (SAC 2025), 2025
2025
Interpreting Language Reward Models via Contrastive Explanations
J Jiang, T Bewley, S Mishra, F Lecue, M Veloso
ICLR 2025, 2025
2025
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference
X Zhai, J Jiang, A Dejl, A Rago, F Guo, F Toni, A Sivakumar
arXiv preprint arXiv:2406.13724, 2024
2024
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