publications

publications by categories in reversed chronological order.

2024

  1. STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module
    Anton Thielmann, Arik Reuter, Christoph Weisser, Gillian Kant, Manish Kumar, and Benjamin Säfken
    In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024
  2. Interpretable Additive Tabular Transformer Networks
    Anton Frederik Thielmann, Arik Reuter, Thomas Kneib, David Rügamer, and Benjamin Säfken
    Transactions on Machine Learning Research, 2024
  3. Topics in the haystack: Enhancing topic quality through corpus expansion
    Anton Thielmann, Arik Reuter, Quentin Seifert, Elisabeth Bergherr, and Benjamin Säfken
    Computational Linguistics, 2024
  4. Probabilistic Topic Modelling with Transformer Representations
    Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, and Thomas Kneib
    arXiv preprint arXiv:2403.03737, 2024
  5. Neural Additive Image Model: Interpretation through Interpolation
    Arik Reuter, Anton Thielmann, and Benjamin Saefken
    arXiv preprint arXiv:2405.02295, 2024
  6. Mambular: A Sequential Model for Tabular Deep Learning
    Anton Frederik Thielmann, Manish Kumar, Christoph Weisser, Arik Reuter, Benjamin Säfken, and Soheila Samiee
    arXiv preprint arXiv:2408.06291, 2024
  7. GPTopic: Dynamic and Interactive Topic Representations
    Arik Reuter, Anton Thielmann, Christoph Weisser, Sebastian Fischer, and Benjamin Säfken
    arXiv preprint arXiv:2403.03628, 2024

2023

  1. Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data
    Christoph Weisser, Christoph Gerloff, Anton Thielmann, Andre Python, Arik Reuter, Thomas Kneib, and Benjamin Säfken
    Computational Statistics, 2023