Scholar
Federico Lopez
Google Scholar ID: LUPcTLkAAAAJ
Kumo AI
Citations & Impact
Citations
439
H-index
8
i10-index
6
Publications
14
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- 1. Publication: Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach
- 2. Publication: A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification
- 3. Publication: Fine-Grained Entity Typing in Hyperbolic Space
- 4. Publication: Variations of the Similarity Function of TextRank for Automated Summarization
- 5. Talk: The Shortest History of Geometric Deep Learning, Invited Speaker, Heidelberg University, May 2020
- 6. Talk: A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification, Invited Speaker, University of Mannheim, February 2020
- 7. Talk: Fine-grained Entity Typing, Colloquium, Heidelberg University, May 2019
- 8. Talk: An Overview on Entity Discovery and Linking Systems, Colloquium, Heidelberg University, May 2018
Research Experience
- 1. PhD candidate at HITS / Heidelberg University
- 2. Involved in various research projects such as symmetric spaces for graph embeddings, fully hyperbolic neural models for hierarchical multi-class classification, etc.
Education
- 1. PhD Candidate in Computational Linguistics, 2018 - 2021, HITS / Heidelberg University, Germany
- 2. Software Engineering, 2009 - 2015, University of Buenos Aires, Argentina
Background
- Research interests include learning more expressive representations by exploring non-Euclidean geometries and graph-based methods for NLP. Fascinated by logical and mathematical algorithmic problems, discovered a strong interest in NLP during thesis work.
Miscellany
- Personal interests: Curious engineer, self-defined nerd; involved in open-source projects like Summa NLP, Gensim integration, and langdetect.
