6 papers
Local Neighborhood Instability in Parametric Projections: Quantitative and Visual Analysis
Frederik L. Dennig, Daniel A. Keim
Parametric projections let analysts embed new points in real time, but input variations from measurement noise or data drift can produce unpredictable shifts in the 2D layout. Whet…
Evaluating Autoencoders for Parametric and Invertible Multidimensional Projections
Frederik L. Dennig, Nina Geyer, Daniela Blumberg +2
Recently, neural networks have gained attention for creating parametric and invertible multidimensional data projections. Parametric projections allow for embedding previously unse…
DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy
Frederik L. Dennig, Daniel A. Keim
Recently, autoencoders (AEs) have gained interest for creating parametric and invertible projections of multidimensional data. Parametric projections make it possible to embed new,…
Dissecting Atomic Facts: Visual Analytics for Improving Fact Annotations in Language Model Evaluation
Manuel Schmidt, Daniel A. Keim, Frederik L. Dennig
Factuality evaluation of large language model (LLM) outputs requires decomposing text into discrete "atomic" facts. However, existing definitions of atomicity are underspecified, w…
Dynamic Sub-region Search in Homogeneous Collections Using CLIP
Bastian Jäckl, VojtÄch Kloda, Daniel A. Keim +1
Querying with text-image-based search engines in highly homogeneous domain-specific image collections is challenging for users, as they often struggle to provide descriptive text q…
Experimental Evaluation of Static Image Sub-Region-Based Search Models Using CLIP
Bastian Jäckl, VojtÄch Kloda, Daniel A. Keim +1
Advances in multimodal text-image models have enabled effective text-based querying in extensive image collections. While these models show convincing performance for everyday life…