Romain Xu-Darme

17 papers A* 1A 1C 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
Formal Abductive Latent Explanations for Prototype-Based Networks.
AAAI
Jules Soria, Zakaria Chihani, Julien Girard-Satabin, Alban Grastien, Romain Xu-Darme, Daniela Cancila
2025 A conf
A Dive into Formal Explainable Attributions for Image Classification.
ECAI
Dorin Doncenco, Julien Girard-Satabin, Romain Xu-Darme, Zakaria Chihani
2025 J jnl
Formal Abductive Latent Explanations for Prototype-Based Networks.
CoRR
Jules Soria, Zakaria Chihani, Julien Girard-Satabin, Alban Grastien, Romain Xu-Darme, Daniela Cancila
2024 — conf
CaBRNet, An Open-Source Library For Developing And Evaluating Case-Based Reasoning Models.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Romain Xu-Darme, Aymeric Varasse, Alban Grastien, Julien Girard-Satabin, Zakaria Chihani
2024 J jnl
CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning Models.
CoRR
Romain Xu-Darme, Aymeric Varasse, Alban Grastien, Julien Girard, Zakaria Chihani
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
2023 — conf
Contextualised Out-of-Distribution Detection Using Pattern Identification.
SAFECOMP Workshops
Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani
2023 J jnl
Contextualised Out-of-Distribution Detection using Pattern Identication.
CoRR
Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani
2023 J jnl
Interpretable Out-Of-Distribution Detection Using Pattern Identification.
CoRR
Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani
2023 C conf
On the stability, correctness and plausibility of visual explanation methods based on feature importance.
CBMI
Romain Xu-Darme, Jenny Benois-Pineau, Romain Giot, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset, Alexey Zhukov
2023 J jnl
On the stability, correctness and plausibility of visual explanation methods based on feature importance.
CoRR
Romain Xu-Darme, Jenny Benois-Pineau, Romain Giot, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset, Alexey Zhukov
2023 — conf
Sanity Checks for Patch Visualisation in Prototype-Based Image Classification.
XAI4CV
Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset
2023 J jnl
Sanity checks and improvements for patch visualisation in prototype-based image classification.
CoRR
Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset
2023 — conf
Sanity checks for patch visualisation in prototype-based image classification.
CVPR Workshops
Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset
2023 J jnl
Sanity checks for patch visualisation in prototype-based image classification.
CoRR
Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset
2022 — conf
PARTICUL: Part Identification with Confidence Measure Using Unsupervised Learning.
ICPR Workshops (3)
Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset
2022 J jnl
PARTICUL: Part Identification with Confidence measure using Unsupervised Learning.
CoRR
Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset