5 citations · 14 across the 5 of their papers we have counts for
5 papers
Intentmaking and Sensemaking: Human Interaction with AI-Guided Mathematical Discovery
Alex Bäuerle, Adam Connors, Alexander Novikov +5
Artificial intelligence offers powerful new tools for scientific discovery, but the interaction paradigms required to effectively harness these systems remain underexplored. In thi…
Humboldt: Metadata-Driven Extensible Data Discovery
Alex Bäuerle, Çağatay Demiralp, Michael Stonebraker
Data discovery is crucial for data management and analysis and can benefit from better utilization of metadata. For example, users may want to search data using queries like ``find…
A Survey on Quality Metrics for Text-to-Image Generation
Sebastian Hartwig, Dominik Engel, Leon Sick +6
AI-based text-to-image models do not only excel at generating realistic images, they also give designers more and more fine-grained control over the image content. Consequently, th…
Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts
Alex Bäuerle, Daniel Jönsson, Timo Ropinski
A key to deciphering the inner workings of neural networks is understanding what a model has learned. Promising methods for discovering learned features are based on analyzing acti…
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration
Alex Bäuerle, Patrick Albus, Raphael Störk +2
Due to the success of deep learning (DL) and its growing job market, students and researchers from many areas are interested in learning about DL technologies. Visualization has pr…