From the 1 of 10 linked papers with an AI index.
10 papers
Directional Curvature from Armijo Backtracking: A Low-Cost Sharpness Probe and a Calibration-Free Learning-Rate Safeguard for Adam
Ashmitha R, Jörg Frochte, Jörg Frochte
The paper shows that the step size accepted by a single Armijo backtracking line search can be used as a cheap estimator of directional curvature (sharpness) and leverages this to…
Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling
Sarah Grewe, Jörg Frochte
In physically dominated machining processes, experimental datasets are small, expensive, and material-specific; in this regime, data curation, evaluation design, and the form of ph…
Multi-Class vs. Multi-Label BERT for CVE-to-CWE Mapping: How Taxonomy Structure Shapes the Errors
Ana Schwengber Kelm, Christian Bockermann, Jörg Frochte
Assigning Common Weakness Enumeration (CWE) categories to Common Vulnerabilities and Exposures (CVE) records remains an important but largely manual step in vulnerability analysis.…
When Style Similarity Scores Fail: Diagnosing Raw CSD Cosine in Artist-Style Evaluation
Jörg Frochte
Raw cosine in the 768-dimensional output space of the Contrastive Style Descriptor (CSD) is now widely read as an absolute, calibrated style-fidelity score for text-to-image and st…
Multiple Additive Neural Networks for Structured and Unstructured Data
Janis Mohr, Jörg Frochte
This paper extends and explains the Multiple Additive Neural Networks (MANN) methodology, an enhancement to the traditional Gradient Boosting framework, utilizing nearly shallow ne…
LLMs for Text-Based Exploration and Navigation Under Partial Observability
Stephan Sandfuchs, Maximilian Melchert, Jörg Frochte
Exploration and goal-directed navigation in unknown layouts are central to inspection, logistics, and search-and-rescue. We ask whether large language models (LLMs) can function as…