Felix Petersen
Doctoral Researcher
RESEARCH INTERESTS
My research areas are Machine Learning for mathematics and computer vision. I am working on the translation of mathematical formula from generic LaTeX to semantic LaTeX using Recursive Neural Networks. Additionally, I am working on solving inverse problems in computer vision using Neural Networks with special topologies.
My research interests are the following:
- Neural Networks with special topologies
- Mathematical Information Retrieval
- Computer Vision
SELECTED PUBLICATIONS
- Towards Formula Translation using Recursive Neural Networks
F. Petersen, M. Schubotz, B. Gipp
in Proceedings of the 11th Conference on Intelligent Computer Mathematics (CICM), 2018
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