Anton Thielmann

According to our database, Anton Thielmann authored at least 26 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning.

Manish Kumar, Anton Frederik Thielmann, Christoph Weisser, Benjamin Säfken

CoRR, April, 2026

Aligning Recommendations with User Popularity Preferences.

Mona Schirmer, Anton Thielmann, Pola Schwöbel, Thomas Martynec, Giuseppe Di Benedetto, Ben London, Yannik Stein

CoRR, April, 2026

EviNAM: Intelligibility and Uncertainty via Evidential Neural Additive Models.

Sören Schleibaum, Anton Frederik Thielmann, Julian Teusch, Benjamin Säfken, Jörg P. Müller

CoRR, January, 2026

LLM-Augmented Changepoint Detection: A Framework for Ensemble Detection and Automated Explanation.

Fabian Lukassen, Christoph Weisser, Michael Schlee, Manish Kumar, Anton Thielmann, Benjamin Säfken, Thomas Kneib

CoRR, January, 2026

STREAM-ZH: Simplified Topic Retrieval Exploration and Analysis Module for Chinese Language.

Hongyi Li, Jianjun Lian, Anton Frederik Thielmann, Andre Python

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Gradient-based smoothing parameter estimation for neural P-splines.

Lea M. Dammann, Marei Freitag, Anton Thielmann, Benjamin Säfken

Comput. Stat., September, 2025

Probabilistic Topic Modeling With Transformer Representations.

Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks.

Anton Thielmann, Arik Reuter, Benjamin Säfken

CoRR, April, 2025

Enhancing Adaptive Spline Regression: An Evolutionary Approach to Optimal Knot Placement and Smoothing Parameter Selection.

Anton Thielmann, Thomas Kneib, Benjamin Säfken

J. Comput. Graph. Stat., 2025

2024

One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading.

Gillian Kant, Ivan Zhelyazkov, Anton Thielmann, Christoph Weisser, Michael Schlee, Christoph Ehrling, Benjamin Säfken, Thomas Kneib

Soc. Netw. Anal. Min., December, 2024

Interpretable Additive Tabular Transformer Networks.

Anton Frederik Thielmann, Arik Reuter, Thomas Kneib, David Rügamer, Benjamin Säfken

Trans. Mach. Learn. Res., 2024

Mambular: A Sequential Model for Tabular Deep Learning.

Anton Frederik Thielmann, Manish Kumar, Christoph Weisser, Arik Reuter, Benjamin Säfken, Soheila Samiee

CoRR, 2024

Neural Additive Image Model: Interpretation through Interpolation.

Arik Reuter, Anton Thielmann, Benjamin Säfken

CoRR, 2024

Probabilistic Topic Modelling with Transformer Representations.

Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib

CoRR, 2024

GPTopic: Dynamic and Interactive Topic Representations.

Arik Reuter, Anton Thielmann, Christoph Weisser, Sebastian Fischer, Benjamin Säfken

CoRR, 2024

Topics in the Haystack: Enhancing Topic Quality through Corpus Expansion.

Anton Thielmann, Arik Reuter, Quentin Seifert, Elisabeth Bergherr, Benjamin Säfken

Comput. Linguistics, 2024

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning.

Anton Frederik Thielmann, Soheila Samiee

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

Human in the Loop: How to Effectively Create Coherent Topics by Manually Labeling Only a Few Documents per Class.

Anton Frederik Thielmann, Christoph Weisser, Benjamin Säfken

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean.

Anton Frederik Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module.

Anton Thielmann, Arik Reuter, Christoph Weisser, Gillian Kant, Manish Kumar, Benjamin Säfken

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

2023

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, Benjamin Säfken

Comput. Stat., June, 2023

Topics in the Haystack: Extracting and Evaluating Topics beyond Coherence.

Anton Thielmann, Quentin Seifert, Arik Reuter, Elisabeth Bergherr, Benjamin Säfken

CoRR, 2023

Structural Neural Additive Models: Enhanced Interpretable Machine Learning.

Mattias Luber, Anton Thielmann, Benjamin Säfken

CoRR, 2023

Coherence based Document Clustering.

Anton Thielmann, Christoph Weisser, Thomas Kneib, Benjamin Säfken

Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

2021

AuDoLab: Automatic document labelling and classification for extremely unbalanced data.

Arne Tillmann, Anton Thielmann, Gillian Kant, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib

J. Open Source Softw., 2021

Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models.

Mattias Luber, Anton Thielmann, Christoph Weisser, Benjamin Säfken

CoRR, 2021