CSI-aided Robust Neural-based Decoders. - Meryem Benammar; Eduardo Dadalto Câmara Gomes; Pablo Piantanida (ISTC, 2021)

Igeood: An Information Geometry Approach to Out-of-Distribution Detection. - Eduardo Dadalto Câmara Gomes; Florence Alberge; Pierre Duhamel; Pablo Piantanida (ICLR, 2022)

Beyond Mahalanobis Distance for Textual OOD Detection. - Pierre Colombo; Eduardo Dadalto Câmara Gomes; Guillaume Staerman; Nathan Noiry; Pablo Piantanida (NeurIPS, 2022)

Beyond Mahalanobis-Based Scores for Textual OOD Detection. - Pierre Colombo; Eduardo Dadalto Câmara Gomes; Guillaume Staerman; Nathan Noiry; Pablo Piantanida (CoRR, 2022)

A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection. - Eduardo Dadalto Câmara Gomes; Pierre Colombo; Guillaume Staerman; Nathan Noiry; Pablo Piantanida (CoRR, 2023)

Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection. - Maxime Darrin; Guillaume Staerman; Eduardo Dadalto Câmara Gomes; Jackie C. K. Cheung; Pablo Piantanida; Pierre Colombo (AAAI, 2024)

A Data-Driven Measure of Relative Uncertainty for Misclassification Detection. - Eduardo Dadalto Câmara Gomes; Marco Romanelli 002; Georg Pichler; Pablo Piantanida (ICLR, 2024)

Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection. - Eduardo Dadalto Câmara Gomes; Florence Alberge; Pierre Duhamel; Pablo Piantanida (Trans. Mach. Learn. Res., 2024)

Improving artificial intelligence reliability through out-of-distribution and misclassification detection. (Amélioration de la fiabilité de l'intelligence artificielle par la détection des données hors distribution et des erreurs de classification). - Eduardo Dadalto Câmara Gomes (2024)

Optimal Zero-shot Regret Minimization for Selective Classification with Out-of-Distribution Detection. - Eduardo Dadalto Câmara Gomes; Marco Romanelli 002 (UAI, 2025)