Scholar
Arik Reuter
Google Scholar ID: ei6AssYAAAAJ
University of Cambridge, Max-Planck Institute for Intelligent Systems
Citations & Impact
Citations
112
H-index
6
i10-index
4
Publications
13
Co-authors
13
list available
Contact
Publications
Resume (English only)
Academic Achievements
- STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module (ACL 2024)
- Interpretable Additive Tabular Transformer Networks (Transactions on Machine Learning Research 2024)
- Topics in the haystack: Enhancing topic quality through corpus expansion (Computational Linguistics 2024)
- Probabilistic Topic Modelling with Transformer Representations (arXiv preprint 2024)
- Neural Additive Image Model: Interpretation through Interpolation (arXiv preprint 2024)
- Mambular: A Sequential Model for Tabular Deep Learning (arXiv preprint 2024)
- GPTopic: Dynamic and Interactive Topic Representations (arXiv preprint 2024)
- Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data (Computational Statistics 2023)
Research Experience
- Conducting research at the Max Planck Institute for Intelligent Systems
Education
- PhD - LMU Munich, Advisor: Bernhard Schölkopf
Background
- PhD student at LMU Munich, working with Bernhard Schölkopf at the Max Planck Institute for Intelligent Systems.
Miscellany
- Can be found on Google Scholar and GitHub
