23 citations · 30 across the 4 of their papers we have counts for
7 papers
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
Federico López, Beatrice Pozzetti, Steve Trettel +2
We propose the use of the vector-valued distance to compute distances and extract geometric information from the manifold of symmetric positive definite matrices (SPD), and develop…
Augmenting the User-Item Graph with Textual Similarity Models
Federico López, Martin Scholz, Jessica Yung +3
This paper introduces a simple and effective form of data augmentation for recommender systems. A paraphrase similarity model is applied to widely available textual data, such as r…
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach
Federico López, Beatrice Pozzetti, Steve Trettel +2
Learning faithful graph representations as sets of vertex embeddings has become a fundamental intermediary step in a wide range of machine learning applications. We propose the sys…
Hermitian Symmetric Spaces for Graph Embeddings
Federico López, Beatrice Pozzetti, Steve Trettel +1
Learning faithful graph representations as sets of vertex embeddings has become a fundamental intermediary step in a wide range of machine learning applications. The quality of the…
A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification
Federico López, Michael Strube
Label inventories for fine-grained entity typing have grown in size and complexity. Nonetheless, they exhibit a hierarchical structure. Hyperbolic spaces offer a mathematically app…
Exact and asymptotic properties of -records in the linear drift model
Raúl Gouet, Miguel Lafuente, F. Javier López +1
The study of records in the Linear Drift Model (LDM) has attracted much attention recently due to applications in several fields. In the present paper we study -records in the L…