Improving Robustness of Jet Tagging Algorithms with Adversarial Training. - Annika Stein; Xavier Coubez; Spandan Mondal; Andrzej Novak; Alexander Schmidt (Comput. Softw. Big Sci., 2022)

Modelling Irregularly Sampled Time Series Without Imputation. - Rohit Agarwal; Aman Sinha 002; Dilip K. Prasad; Marianne Clausel; Alexander Horsch; Mathieu Constant; Xavier Coubez (CoRR, 2023)

Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification? - Aman Sinha 002; Timothee Mickus; Marianne Clausel; Mathieu Constant; Xavier Coubez (BioNLP@ACL, 2024)

ImmunoFOMO: Are Language Models missing what oncologists see? - Aman Sinha 002; Bogdan-Valentin Popescu; Xavier Coubez; Marianne Clausel; Mathieu Constant (CoRR, 2025)

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning. - Tristan Kirscher; Sylvain Faisan; Xavier Coubez; Loris Barrier; Philippe Meyer (CoRR, 2025)