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Federico Siciliano

2 accepted papers

2026

Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs

ICLR 2026poster

Hypergraphs provide a natural way to represent higher-order interactions among multiple entities. While undirected hypergraphs have been extensively studied, the case of directed hypergraphs, which can model oriented group interactions, remains largely under-explored despite its relevance for many a…

Cited by 0SourcecodeScholar
2023

Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels

CVPR 2023poster

In practical settings, classification datasets are obtained through a labelling process that is usually done by humans. Labels can be noisy as they are obtained by aggregating the different individual labels assigned to the same sample by multiple, and possibly disagreeing, annotators. The inter-rat…

Cited by 19SourcePDFScholar