Formalising the Robustness of Counterfactual Explanations for Neural Networks. - Junqi Jiang; Francesco Leofante; Antonio Rago 001; Francesca Toni (AAAI, 2023)

Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation. - Junqi Jiang; Jianglin Lan; Francesco Leofante; Antonio Rago 001; Francesca Toni (ACML, 2023)

Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report). - Junqi Jiang; Antonio Rago 001; Francesco Leofante; Francesca Toni (CoRR, 2023)

Recourse under Model Multiplicity via Argumentative Ensembling. - Junqi Jiang; Francesco Leofante; Antonio Rago 001; Francesca Toni (AAMAS, 2024)

Robust Counterfactual Explanations in Machine Learning: A Survey. - Junqi Jiang; Francesco Leofante; Antonio Rago 001; Francesca Toni (IJCAI, 2024)

Contestable AI Needs Computational Argumentation. - Francesco Leofante; Hamed Ayoobi; Adam Dejl; Gabriel Freedman; Deniz Gorur; Junqi Jiang; Guilherme Paulino-Passos; Antonio Rago 001; Anna Rapberger; Fabrizio Russo 002; Xiang Yin 007; Dekai Zhang; et al. (KR, 2024)

Interval abstractions for robust counterfactual explanations. - Junqi Jiang; Francesco Leofante; Antonio Rago 001; Francesca Toni (Artif. Intell., 2024)

Interpreting Language Reward Models via Contrastive Explanations. - Junqi Jiang; Tom Bewley; Saumitra Mishra; Freddy Lécué; Manuela Veloso (ICLR, 2025)

Explainable Reinforcement Learning for Formula One Race Strategy. - Devin Thomas; Junqi Jiang; Avinash Kori; Aaron Russo; Steffen Winkler; Stuart Sale; Joseph McMillan; Francesco Belardinelli; Antonio Rago 001 (SAC, 2025)

Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy. - Jamie Todd; Junqi Jiang; Aaron Russo; Steffen Winkler; Stuart Sale; Joseph McMillan; Antonio Rago 001 (SAC, 2025)

Heterogeneous graph neural networks with post-hoc explanations for multi-modal and explainable land use inference. - Xuehao Zhai; Junqi Jiang; Adam Dejl; Antonio Rago 001; Fangce Guo; Francesca Toni; Aruna Sivakumar (Inf. Fusion, 2025)

RobustX: Robust Counterfactual Explanations Made Easy. - Junqi Jiang; Luca Marzari; Aaryan Purohit; Francesco Leofante (CoRR, 2025)

Argumentative Ensembling for Robust Recourse under Model Multiplicity. - Junqi Jiang; Antonio Rago 001; Francesco Leofante; Francesca Toni (CoRR, 2025)

Representation Consistency for Accurate and Coherent LLM Answer Aggregation. - Junqi Jiang; Tom Bewley; Salim I. Amoukou; Francesco Leofante; Antonio Rago 001; Saumitra Mishra; Francesca Toni (CoRR, 2025)

MArgE: Meshing Argumentative Evidence from Multiple Large Language Models for Justifiable Claim Verification. - Ming Pok Ng; Junqi Jiang; Gabriel Freedman; Antonio Rago 001; Francesca Toni (CoRR, 2025)