Picture for Niklas Kühl

Niklas Kühl

University of Bayreuth, Germany, IBM Consulting, Germany

Towards Human-Understandable Multi-Dimensional Concept Discovery

Add code
Mar 24, 2025
Viaarxiv icon

Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction

Add code
Feb 22, 2025
Viaarxiv icon

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning

Add code
Jan 08, 2025
Viaarxiv icon

Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets

Add code
Sep 13, 2024
Figure 1 for Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets
Figure 2 for Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets
Figure 3 for Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets
Figure 4 for Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets
Viaarxiv icon

A Multivocal Literature Review on Privacy and Fairness in Federated Learning

Add code
Aug 16, 2024
Viaarxiv icon

A Survey of AI Reliance

Add code
Jul 22, 2024
Figure 1 for A Survey of AI Reliance
Figure 2 for A Survey of AI Reliance
Figure 3 for A Survey of AI Reliance
Figure 4 for A Survey of AI Reliance
Viaarxiv icon

CollaFuse: Collaborative Diffusion Models

Add code
Jun 20, 2024
Viaarxiv icon

Investigating the Role of Explainability and AI Literacy in User Compliance

Add code
Jun 18, 2024
Viaarxiv icon

Transferring Domain Knowledge with (X)AI-Based Learning Systems

Add code
Jun 03, 2024
Figure 1 for Transferring Domain Knowledge with (X)AI-Based Learning Systems
Figure 2 for Transferring Domain Knowledge with (X)AI-Based Learning Systems
Figure 3 for Transferring Domain Knowledge with (X)AI-Based Learning Systems
Figure 4 for Transferring Domain Knowledge with (X)AI-Based Learning Systems
Viaarxiv icon

Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle

Add code
Apr 30, 2024
Figure 1 for Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle
Figure 2 for Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle
Figure 3 for Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle
Viaarxiv icon