Publications

  • S. Reyd, A. Diaconescu and J.-L. Dessalles, "Searching for actual causes: Approximate algorithms with adjustable precision", Transactions of Machine Learning Research (TMLR), 2026, url: https://openreview.net/forum?id=3NlYZPCH9v
    Short version in CauScien@NeurIPS 2025. Link: openreview.net/forum?id=HsM5QwMZsv
  • S. Reyd, A. Diaconescu and J.-L. Dessalles, "In search of “normality”: producing relevant counterfactual explanations for complex behaviors", 2026 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), Cesena, Italie, 2026 (presented),
    preprint: http://there-you-are.com/adadiaconescu/Papers/ACSOS2026/contrast_explanations.pdf
  • S. Reyd, A. Diaconescu and J.-L. Dessalles, "Interventions Matter: the Role of Sampling Distributions in Detecting Causal Emergence", 2026 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), Cesena, Italie, 2026 (presented).
  • S. Reyd, A. Diaconescu and J.-L. Dessalles, "Finding relevant causes in complex systems: A generic method adaptable to users and contexts", 2025 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), Tokyo, Japan, 2025, pp. 100-111, doi: 10.1109/ACSOS66086.2025.00026
  • S. Reyd, A. Diaconescu and J.-L. Dessalles, "CIRCE: a Scalable Methodology for Causal Explanations in Cyber-Physical Systems", 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), Aarhus, Denmark, 2024, pp. 81-90, doi: 10.1109/ACSOS61780.2024.00026.
  • S. Reyd, A. Diaconescu, J.-L. Dessalles and L. Esterle, "A Roadmap for Causality Research in Complex Adaptive Systems", 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), Aarhus, Denmark, 2024, pp. 35-40, doi: 10.1109/ACSOS-C63493.2024.00027.
  • P. A. K. K. Diallo, S. Reyd and A. Zouaq, "A Comprehensive Evaluation of Neural SPARQL Query Generation From Natural Language Questions", in IEEE Access, vol. 12, pp. 125057-125078, 2024, doi: 10.1109/ACCESS.2024.3453215
  • S. Reyd, A. Zouaq. 2023. "Assessing the Generalization Capabilities of Neural Machine Translation Models for SPARQL Query Generation". In: ISWC 2023. Lecture Notes in Computer Science, vol 14265. Springer, Cham, doi: 10.1007/978-3-031-47240-4_26.
  • R. Hirigoyen, A. Zouaq, and S. Reyd. 2022. "A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine Translation". In Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, pages 226–236, Association for Computational Linguistics, doi:10.18653/v1/2022.findings-aacl.22.