21 citations · 21 across the 4 of their papers we have counts for
5 papers
Beyond Linear Concepts: Discovering and Aligning Non-Linear Concept Manifolds in Large Language Models
Tido Specht, Elias Benedict Krey, Nils Neukirch +1
Understanding information processing in large language models (LLMs) requires dissecting the geometric organization of their internal token representations. While existing mechanis…
Foundation Models vs. Radiomics for Lung Computed Tomography: A Benchmark of Feature Extractors, Classification Heads, and Segmentation Choices
Nils Neukirch, Martin Maurer, Nils Strodthoff
Radiomics is the established approach for CT-based lung cancer phenotyping, yet comparisons with foundation models rarely isolate contributions of feature extractor, classification…
Pretraining Strategies and Scaling for ECG Foundation Models: A Systematic Study
M A Al-Masud, Nils Strodthoff
Specialized foundation models are beginning to emerge in various medical subdomains, but pretraining methodologies and parametric scaling with the size of the pretraining dataset a…
How Far Does a Shared Linear Map Go? Probing Feature-Space Manipulability for Image Editing
Elias B. Krey, Elias Krey, Nils Neukirch +1
Understanding how image-space transformations manifest in a model's internal representations is a longstanding goal in representation analysis. Prior work has shown that geometric…
Insights Into the Inner Workings of Transformer Models for Protein Function Prediction
Markus Wenzel, Erik Grüner, Nils Strodthoff
Motivation: We explored how explainable artificial intelligence (XAI) can help to shed light into the inner workings of neural networks for protein function prediction, by extendin…