2023-11 I will present on the NeurIPS 2023 Conference Workshop on Mathemathics of Modern Machine Learning.
2023-07 Will service as a reviewer for the NeurIPS 2023 Conference.
2023-06 I was selected to attend to the 2023 edition of the Nordic Probabilistic AI School (ProbAI) being hosted by the Norwegian University of Science and Technology (NTNU) and sponsored by DeepMind.
2023-05 Together with colleagues, released detectors: open-source library for out-of-distribution detection on computer vision applications.
2023-01 Together with colleagues, released Todd: open-source library for text out-of-distribution detection built on top of the Huggingface Transformers library.
2022-09 Our work entitled “Beyond Mahalanobis Distance for Textual OOD Detection” has been accepted to appear in the NeurIPS 2022 Conference.
2022-12 Will service as a reviewer for the CVPR 2023 Conference.
2022-04 Gave a talk at a poster session of the NeurIPS 2022 Conference.
2022-11 Will attend the NeurIPS 2022 Conference in New Orleans, LA, USA.
2019-10 I am happy to start a research internship at the International Laboratory on Learning Systems (ILLS) in partnership with McGill University, ÉTS Montreal, Mila – Quebec AI Institute, CNRS and Université Paris-Saclay.

Recent Publications

For a complete list, please check my Google Scholar page.

E. Dadalto, P. Colombo, G. Staerman, N. Noiry, and P. Piantanida, “A functional data perspective and baseline on multi-layer out-of-distribution detection.” 2023. Available:

E. Dadalto, M. Romanelli, F. Granese, and P. Piantanida, “A simple training-free method for rejection option.” 2023.

E. Dadalto, M. Romanelli, G. Pichler, and P. Piantanida, “A data-driven measure of relative uncertainty for misclassification detection.” 2023. Available:

M. Darrin, G. Staerman, E. Dadalto, J. C. Cheung, P. Piantanida, and P. Colombo, “Unsupervised layer-wise score aggregation for textual OOD detection.” 2023. Available:

P. Colombo, E. Dadalto, G. Staerman, N. Noiry, and P. Piantanida, “Beyond mahalanobis distance for textual OOD detection,” in Advances in neural information processing systems, 2022. Available:

E. Dadalto, F. Alberge, P. Duhamel, and P. Piantanida, “Igeood: An information geometry approach to out-of-distribution detection,” in International conference on learning representations, 2022. Available:

M. Benammar, E. Dadalto, and P. Piantanida, “CSI-aided robust neural-based decoders,” in 2021 11th international symposium on topics in coding (ISTC), 2021, pp. 1–5. doi: 10.1109/ISTC49272.2021.9594117


You can contact me via email at Happy to discuss new projects and collaborations.

© 2023 Eduardo Dadalto