1 code implementation • NeurIPS 2021 • Federico López, Beatrice Pozzetti, Steve Trettel, Michael Strube, Anna Wienhard
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 gyrovector calculus, constructing analogs of vector space operations in this curved space.
1 code implementation • 20 Sep 2021 • Federico López, Martin Scholz, Jessica Yung, Marie Pellat, Michael Strube, Lucas Dixon
This paper introduces a simple and effective form of data augmentation for recommender systems.
2 code implementations • 9 Jun 2021 • Federico López, Beatrice Pozzetti, Steve Trettel, Michael Strube, Anna Wienhard
We propose the systematic use of symmetric spaces in representation learning, a class encompassing many of the previously used embedding targets.
1 code implementation • 11 May 2021 • Federico López, Beatrice Pozzetti, Steve Trettel, Anna Wienhard
Learning faithful graph representations as sets of vertex embeddings has become a fundamental intermediary step in a wide range of machine learning applications.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Federico López, Michael Strube
Label inventories for fine-grained entity typing have grown in size and complexity.
1 code implementation • WS 2019 • Federico López, Benjamin Heinzerling, Michael Strube
How can we represent hierarchical information present in large type inventories for entity typing?
10 code implementations • 11 Feb 2016 • Federico Barrios, Federico López, Luis Argerich, Rosa Wachenchauzer
This article presents new alternatives to the similarity function for the TextRank algorithm for automatic summarization of texts.