Alignment and Reassembly of Broken Specimens for Creep Ductility Measurements. - Volker Knauthe; Maurice Kraus; Max von Buelow 001; Tristan Wirth; Arne Rak; Laurenz Merth; Alexander Erbe; Christian Kontermann; Stefan Guthe; Arjan Kuijper; Dieter W. Fellner (VMV, 2022)

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 001; Arjan Kuijper; Dieter W. Fellner (SCIA (1), 2023)

Right on Time: Revising Time Series Models by Constraining their Explanations. - Maurice Kraus; David Steinmann; Antonia Wüst; Andre Kokozinski; 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)

xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories. - Maurice Kraus; Felix Divo; Devendra Singh Dhami; Kristian Kersting (CoRR, 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)

EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition. - Christoph Schuhmann; Robert Kaczmarczyk; Gollam Rabby; Felix Friedrich; Maurice Kraus; Krishna Kalyan; Kourosh Nadi; Huu Nguyen; Kristian Kersting; Sören Auer (CoRR, 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; et al. (CoRR, 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, 2025)