Romain Xu-Darme

According to our database, Romain Xu-Darme authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Formal Abductive Latent Explanations for Prototype-Based Networks.

Jules Soria, Zakaria Chihani, Julien Girard-Satabin, Alban Grastien, Romain Xu-Darme, Daniela Cancila

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards Abductive Latent Explanations.

Jules Soria, Zakaria Chihani, Julien Girard-Satabin, Alban Grastien, Romain Xu-Darme, Daniela Cancila

Proceedings of TRUST-AI 2025, 2025

A Dive into Formal Explainable Attributions for Image Classification.

Dorin Doncenco, Julien Girard-Satabin, Romain Xu-Darme, Zakaria Chihani

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning Models.

Romain Xu-Darme, Aymeric Varasse, Alban Grastien, Julien Girard, Zakaria Chihani

CoRR, 2024

CaBRNet, An Open-Source Library For Developing And Evaluating Case-Based Reasoning Models.

Romain Xu-Darme, Aymeric Varasse, Alban Grastien, Julien Girard-Satabin, Zakaria Chihani

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

2023

Algorithms and evaluation metrics for improving trust in machine learning : application to visual object recognition. (Algorithmes et métriques d'évaluation pour la confiance dans les systèmes utilisant l'apprentissage machine : application à la reconnaissance visuelle d'objets).

Romain Xu-Darme

PhD thesis, 2023

Contextualised Out-of-Distribution Detection using Pattern Identication.

Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani

CoRR, 2023

Interpretable Out-Of-Distribution Detection Using Pattern Identification.

Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani

CoRR, 2023

Sanity checks and improvements for patch visualisation in prototype-based image classification.

Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset

CoRR, 2023

Sanity Checks for Patch Visualisation in Prototype-Based Image Classification.

Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset

Proceedings of the 2nd Explainable AI for Computer Vision Workshop, 2023

Contextualised Out-of-Distribution Detection Using Pattern Identification.

Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops, 2023

On the stability, correctness and plausibility of visual explanation methods based on feature importance.

Romain Xu-Darme, Jenny Benois-Pineau, Romain Giot, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset, Alexey Zhukov

Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2022

PARTICUL: Part Identification with Confidence Measure Using Unsupervised Learning.

Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022