Preprints
- D. Adamo, M. Corneli, M. Vuillien and E. Vila. Neural approximation of Procrustes-Wasserstein transport maps. 2026
- D. Adamo, M. Vuillien, E. Vila and M. Corneli. Rethinking Multiple Kernel Learning under the lenses of Importance Weighted Monte Carlo Variational Inference. 2025
Journal Papers
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M. Vuillien, D. Adamo, E. Vila, A. Agraw, T. Argant, D. Helmer, M. Mashkour, A. Moussous, O. Notter, E. Rossoni-Notter, I. Théry and M. Corneli.
Topological data analysis and multiple kernel learning for species identification of
modern and archaeological small ruminants.
In Journal of Computer Applications in Archaeology (JCAA), 2025
Conference papers
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D. Adamo, M. Corneli, M. Vuillien and E. Vila.
An in depth look at the Procrustes–Wasserstein distance: properties and barycenters.
In International Conference on Machine Learning (ICML), 2025