Publications

Diagnosing Diversity Collapse and Validating Mask-Conditioned Diffusion for Labeled Microtubule Microscopy

Best Subset Selection Meets Resampling: Tackling Selection Instability at Very Low Numbers of Events per Variable

From Heat to Force: Retrospective Estimation of Finger Contact Forces from Thermal Signatures

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy

Human-in-the-Loop Model-Driven Interactive Point Cloud Segmentation in VR

CliniBench: A Clinical Outcome Prediction Benchmark for Generative and Encoder-Based Language Models

Lagrangian Neural Network-Based Control: Improving Robotic Trajectory Tracking via Linearized Feedback

SoilNet: A multimodal multitask model for hierarchical classification of soil horizons

Same Meaning, Different Scores: Lexical and Syntactic Sensitivity in LLM Evaluation

Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning

DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised Distillation

Robust Conformal Prediction for Infrequent Classes

Intelligence without intuition: a mixed-methods pilot study on reasoning models in musculoskeletal physiotherapy for low-back pain

ConceptTracer: Interactive Analysis of Concept Saliency and Selectivity in Neural Representations

On the Domain Robustness of Contrastive Vision-Language Models

Crucial Gram-positive type IV secretion system protein TraF is a structural homolog of type VII secretion system protein EssB/YukC

Adaptations in Plasmodium tubulin determine distinct microtubule architectures, mechanics and drug susceptibility

Readiness Assessment for AI in Nursing Care Projects: Multimethods Study

Anonymized but Useful Synthetic Tabular Health Data for AI based Fall Risk Assessment

Evaluating the quality of tabular synthetic data in health care

SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models

Synthetic data enables human-grade microtubule analysis with foundation models for segmentation

Feedback-driven object detection and iterative model improvement for accurate annotations

Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction

Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation

Variable Stiffness Actuation via 3D-Printed Nonlinear Torsional Springs

In Search of Grandmother Cells: Tracing Interpretable Neurons in Tabular Representations

Job Interview Training with RAG-LLM: An Experimental Study with the Furhat Robot

“Where does it hurt?” – Dataset and Study on Physician Intent Trajectories in Doctor Patient Dialogues

Evaluating Financial Literacy of Large Language Models through Domain Specific Languages for Plain Text Accounting

SPONGE: Competing Sparse Language Representations for Effective Cross-Lingual Knowledge Transfer in Healthcare

Embedding World Knowledge into Tabular Models: Towards Best Practices for Embedding Pipeline Design

‚Oh LLM, I’m Asking Thee, Please Give Me a Decision Tree‘: Zero-Shot Decision Tree Induction and Embedding with Large Language Models

The Influence of Faulty Labels in Data Sets on Human Pose Estimation

Is Visual in-Context Learning for Compositional Medical Tasks within Reach?

Cell state-specific cytoplasmic density controls spindle architecture and scaling

Conserved nucleocytoplasmic density homeostasis drives cellular organization across eukaryotes

Advancing Blood Sample Analysis: Incorporating Expert Opinions and Explainable AI in Multi-label Disease Prediction

Towards Realistic Error Models for Tabular Data

MechDetect: Detecting Data-Dependent Errors

End-to-end Pseudonymization of German Texts with Deep Learning – An Empirical Comparison of Classical and Modern Approaches

Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators

Learning by doing: Online Learning to Compensate Gravity with a Computed Torque Controller using Lagrangian Neural Networks

VSB – Variable Stiffness Based on Bowden Cables: A Simple Mechanism for Soft Robotic Hands

Programming Passive Fingertip Deformation for Improved Grasping and Manipulation

Autonomous medical evaluation for guideline adherence of large language models

Boosting Long-Tail Data Classification with Sparse Prototypical Networks

Revisiting Clinical Outcome Prediction for MIMIC-IV

Learning of a Rapid Prototyping Gait Library for a Quadruped Robot Using PD-ILC and Gaussian Processes

Detection of breast cancer using machine learning on time-series diffuse optical transillumination data

Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems

TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors

Achieving Velocity Tracking Despite Model Uncertainty for a Quadruped Robot with a PD-ILC Controller