Ensemble models often improve generalization performances in challenging tasks. Yet,
traditional techniques based on prediction averaging incur three well-known disadvantages …

We introduce a novel embedding method diverging from conventional approaches by
operating within function spaces of finite dimension rather than finite vector space, thus …

Knowledge Graph Embedding (KGE) transforms a discrete Knowledge Graph (KG) into a
continuous vector space facilitating its use in various AI-driven applications like Semantic …

We introduce a novel embedding method diverging from conventional approaches by
operating within function spaces of finite dimension rather than finite vector space, thus …

Clifford algebras are a natural extension of division algebras, including real numbers,
complex numbers, quaternions, and octonions. Previous research in knowledge graph …

In recent years, knowledge graph embedding models have been successfully applied in the
transductive setting to tackle various challenging tasks including link prediction, and query …

Clifford algebras are a natural generalization of the real numbers, the complex numbers,
and the quaternions. So far, solely Clifford algebras of the form $ Cl_ {p, q} $(ie, algebras …

Clifford algebras are a natural extension of division algebras, including real numbers,
complex numbers, quaternions, and octonions. Previous research in knowledge graph …