Publications

For an up to date list of publications, please visit my Google Scholar page.

  1. Eduardo Dadalto, Marco Romanelli, Georg Pichler, Pablo Piantanida. A Data-Driven Measure of Relative Uncertainty for Misclassification Detection. ICLR2024. ARXIV PDF CODE

  2. Eduardo Dadalto. Improving artificial intelligence reliability through out-of-distribution and misclassification detection. Ph.D. Thesis, Université Paris-Saclay, March 2024. PDF URL

  3. Eduardo Dadalto, Florence Alberge, Pierre Duhamel, Pablo Piantanida. Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection. TMLR2024. ARXIV PDF CODE

  4. Maxime Darrin, Guillaume Staerman, Eduardo Dadalto, Jackie CK Cheung, Pablo Piantanida, Pierre Colombo. Unsupervised layer-wise score aggregation for textual ood detection. AAAI2023. ARXIV PDF

  5. Pierre Colombo, Eduardo Dadalto, Guillaume Staerman, Nathan Noiry, Pablo Piantanida. Beyond Mahalanobis Distance for Textual OOD Detection. NeurIPS 2022. ARXIV PDF

  6. Eduardo Dadalto, Florence Alberge, Pierre Duhamel, Pablo Piantanida. Igeood: An Information Geometry Approach to Out-of-Distribution Detection. ICLR 2022. ARXIV PDF CODE

  7. Meryem Bennamar, Eduardo Dadalto, Pablo Piantanida. CSI-aided Robust Neural-based Decoders. IEEE ISTC, 2021. PAGE PDF

Preprints

  1. Eduardo Dadalto, Marco Romanelli. Optimal Zero-shot Regret Minimization for Selective Classification With Out-of-Distribution Detection. 2024.

  2. Eduardo Dadalto, Marco Romanelli, Federica Granese, Siddharth Garg, Pablo Piantanida. Trusting the Untrustworthy: A Cautionary Tale on the Pitfalls of Training-based Rejection Option. 2023.

  3. Eduardo Dadalto, Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida. A Functional Perspective on Multi-Layer Out-of-Distribution Detection. 2023.

Workshops

  1. Eduardo Dadalto, Marco Romanelli, Georg Pichler, Pablo Piantanida. A Data-Driven Measure of Relative Uncertainty for Misclassification Detection. NeurIPS Workshop on Mathematics of Modern Machine Learning. 2023.

  2. Eduardo Dadalto, Florence Alberge, Pierre Duhamel, Pablo Piantanida. Igeood: An Information Geometry Approach to Out-of-Distribution Detection. NeurIPS Workshop on Distribution shifts: connecting methods and applications (DistShift). 2021.