Maurice Kraus

According to our database, Maurice Kraus authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Recursive Inference Machines for Neural Reasoning.

Mieszko Komisarczyk, Saurabh Mathur, Maurice Kraus, Sriraam Natarajan, Kristian Kersting

CoRR, March, 2026

2025

QuAnTS: Question Answering on Time Series.

Felix Divo, Maurice Kraus, Anh Q. Nguyen, Hao Xue, Imran Razzak, Flora D. Salim, Kristian Kersting, Devendra Singh Dhami

CoRR, November, 2025

EmoNet-Voice: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detection.

Christoph Schuhmann, Robert Kaczmarczyk, Gollam Rabby, Felix Friedrich, Maurice Kraus, Kourosh Nadi, Huu Nguyen, Kristian Kersting, Sören Auer

CoRR, June, 2025

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models.

Mehdi Ali, Manuel Brack, Max Lübbering, Elias Wendt, Abbas Goher Khan, Richard Rutmann, Alex Jude, Maurice Kraus, Alexander Arno Weber, David Kaczér, Florian Mai, Lucie Flek, Rafet Sifa, Nicolas Flores-Herr, Joachim Köhler, Patrick Schramowski, Michael Fromm, Kristian Kersting

CoRR, May, 2025

Right on Time: Revising Time Series Models by Constraining Their Explanations.

Maurice Kraus, David Steinmann, Antonia Wüst, Andre Kokozinski, Kristian Kersting

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition.

Christoph Schuhmann, Robert Kaczmarczyk, Gollam Rabby, Maurice Kraus, Felix Friedrich, Huu Nguyen, Krishna Kalyan, Kourosh Nadi, Kristian Kersting, Sören Auer

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models.

Mehdi Ali, Manuel Brack, Max Lübbering, Elias Wendt, Abbas Goher Khan, Richard Rutmann, Alex Jude, Maurice Kraus, Alexander Arno Weber, Felix Stollenwerk, David Kaczér, Florian Mai, Lucie Flek, Rafet Sifa, Nicolas Flores-Herr, Joachim Köhler, Patrick Schramowski, Michael Fromm, Kristian Kersting

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation.

David Steinmann, Felix Divo, Maurice Kraus, Antonia Wüst, Lukas Struppek, Felix Friedrich, Kristian Kersting

CoRR, 2024

xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories.

Maurice Kraus, Felix Divo, Devendra Singh Dhami, Kristian Kersting

CoRR, 2024

United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once.

Maurice Kraus, Felix Divo, David Steinmann, Devendra Singh Dhami, Kristian Kersting

CoRR, 2024

2023

Distortion-Based Transparency Detection Using Deep Learning on a Novel Synthetic Image Dataset.

Volker Knauthe, Thomas Pöllabauer, Katharina Faller, Maurice Kraus, Tristan Wirth, Max von Buelow, Arjan Kuijper, Dieter W. Fellner

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

2022

Alignment and Reassembly of Broken Specimens for Creep Ductility Measurements.

Volker Knauthe, Maurice Kraus, Max von Buelow, Tristan Wirth, Arne Rak, Laurenz Merth, Alexander Erbe, Christian Kontermann, Stefan Guthe, Arjan Kuijper, Dieter W. Fellner

Proceedings of the 27th International Symposium on Vision, Modeling, and Visualization, 2022