Anton Thielmann

19 papers Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM-Augmented Changepoint Detection: A Framework for Ensemble Detection and Automated Explanation. CoRR Fabian Lukassen, Christoph Weisser, Michael Schlee, Manish Kumar, Anton Thielmann, Benjamin Säfken, Thomas Kneib
2025	J	`jnl`	Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks. CoRR Anton Thielmann, Arik Reuter, Benjamin Säfken
2025	J	`jnl`	Enhancing Adaptive Spline Regression: An Evolutionary Approach to Optimal Knot Placement and Smoothing Parameter Selection. J. Comput. Graph. Stat. Anton Thielmann, Thomas Kneib, Benjamin Säfken
2025	J	`jnl`	Gradient-based smoothing parameter estimation for neural P-splines. Comput. Stat. Lea M. Dammann, Marei Freitag, Anton Thielmann, Benjamin Säfken
2025	J	`jnl`	Probabilistic Topic Modeling With Transformer Representations. IEEE Trans. Neural Networks Learn. Syst. Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib
2024	J	`jnl`	GPTopic: Dynamic and Interactive Topic Representations. CoRR Arik Reuter, Anton Thielmann, Christoph Weisser, Sebastian Fischer, Benjamin Säfken
2024	J	`jnl`	Neural Additive Image Model: Interpretation through Interpolation. CoRR Arik Reuter, Anton Thielmann, Benjamin Säfken
2024	J	`jnl`	One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading. Soc. Netw. Anal. Min. Gillian Kant, Ivan Zhelyazkov, Anton Thielmann, Christoph Weisser, Michael Schlee, Christoph Ehrling, Benjamin Säfken, Thomas Kneib
2024	J	`jnl`	Probabilistic Topic Modelling with Transformer Representations. CoRR Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib
2024	—	`conf`	STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module. ACL (Short Papers) Anton Thielmann, Arik Reuter, Christoph Weisser, Gillian Kant, Manish Kumar, Benjamin Säfken
2024	J	`jnl`	Topics in the Haystack: Enhancing Topic Quality through Corpus Expansion. Comput. Linguistics Anton Thielmann, Arik Reuter, Quentin Seifert, Elisabeth Bergherr, Benjamin Säfken
2023	—	`conf`	Coherence based Document Clustering. ICSC Anton Thielmann, Christoph Weisser, Thomas Kneib, Benjamin Säfken
2023	J	`jnl`	Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean. CoRR Anton Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken
2023	J	`jnl`	Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data. Comput. Stat. Christoph Weisser, Christoph Gerloff, Anton Thielmann, Andre Python, Arik Reuter, Thomas Kneib, Benjamin Säfken
2023	J	`jnl`	Structural Neural Additive Models: Enhanced Interpretable Machine Learning. CoRR Mattias Luber, Anton Thielmann, Benjamin Säfken
2023	J	`jnl`	Topics in the Haystack: Extracting and Evaluating Topics beyond Coherence. CoRR Anton Thielmann, Quentin Seifert, Arik Reuter, Elisabeth Bergherr, Benjamin Säfken
2022	J	`jnl`	Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class. CoRR Anton Thielmann, Christoph Weisser, Benjamin Säfken
2021	J	`jnl`	AuDoLab: Automatic document labelling and classification for extremely unbalanced data. J. Open Source Softw. Arne Tillmann, Anton Thielmann, Gillian Kant, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib
2021	J	`jnl`	Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models. CoRR Mattias Luber, Anton Thielmann, Christoph Weisser, Benjamin Säfken