Alex Bäuerle

According to our database, Alex Bäuerle authored at least 23 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Intentmaking and Sensemaking: Human Interaction with AI-Guided Mathematical Discovery.

Alex Bäuerle, Adam Connors, Alexander Novikov, Adam Zsolt Wagner, Ngân Vu, Fernanda B. Viégas, Martin Wattenberg, Lucas Dixon

CoRR, May, 2026

Abstract: Your other Left! Vision-language Models Fail to Understand Relative Positions in Medical Images.

Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin, Alex Bäuerle, Meinrad Beer, Michael Götz, Timo Ropinski

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

2025

A Survey on Quality Metrics for Text-to-Image Generation.

Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski

IEEE Trans. Vis. Comput. Graph., October, 2025

Supplemental Material for: mint: Integrating Scientific Visualizations Into Virtual Reality.

Sergej Geringer, Florian Geiselhart, Alex Bäuerle, Dominik Dec, Olivia G. Odenthal, Guido Reina, Timo Ropinski, Daniel Weiskopf

Dataset, August, 2025

Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images.

Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin, Alex Bäuerle, Meinrad Beer, Michael Götz, Timo Ropinski

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

mint: Integrating scientific visualizations into virtual reality.

Sergej Geringer, Florian Geiselhart, Alex Bäuerle, Dominik Dec, Olivia G. Odenthal, Guido Reina, Timo Ropinski, Daniel Weiskopf

J. Vis., December, 2024

Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics.

Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski

CoRR, 2024

Humboldt: Metadata-Driven Extensible Data Discovery.

Alex Bäuerle, Çagatay Demiralp, Michael Stonebraker

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

2023

exploRNN: teaching recurrent neural networks through visual exploration.

Alex Bäuerle, Patrick Albus, Raphael Störk, Tina Seufert, Timo Ropinski

Vis. Comput., September, 2023

Visualization-based neural network introspection.

Alex Bäuerle

PhD thesis, 2023

An In-depth Look at Gemini's Language Abilities.

Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed, Tianyue Ou, Alex Bäuerle, Ángel Alexander Cabrera, Krish Dholakia, Chenyan Xiong, Graham Neubig

CoRR, 2023

Semantic Hierarchical Exploration of Large Image Datasets.

Alex Bäuerle, Christian van Onzenoodt, Daniel Jönsson, Timo Ropinski

Proceedings of the 25th Eurographics Conference on Visualization, 2023

VegaProf: Profiling Vega Visualizations.

Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

2022

Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts.

Alex Bäuerle, Daniel Jönsson, Timo Ropinski

CoRR, 2022

Visual Identification of Problematic Bias in Large Label Spaces.

Alex Bäuerle, Aybuke Gul Turker, Ken Burke, Osman Aka, Timo Ropinski, Christina Greer, Mani Varadarajan

CoRR, 2022

Where did my Lines go? Visualizing Missing Data in Parallel Coordinates.

Alex Bäuerle, Christian van Onzenoodt, Simon der Kinderen, Jimmy Johansson Westberg, Daniel Jönsson, Timo Ropinski

Comput. Graph. Forum, 2022

Symphony: Composing Interactive Interfaces for Machine Learning.

Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Net2Vis - A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations.

Alex Bäuerle, Christian van Onzenoodt, Timo Ropinski

IEEE Trans. Vis. Comput. Graph., 2021

Measuring Model Biases in the Absence of Ground Truth.

Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

exploRNN: Understanding Recurrent Neural Networks through Visual Exploration.

Alex Bäuerle, Raphael Störk, Timo Ropinski

CoRR, 2020

Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks.

Alex Bäuerle, Heiko Neumann, Timo Ropinski

Comput. Graph. Forum, 2020

2019

Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations.

Alex Bäuerle, Timo Ropinski

CoRR, 2019

2018

Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data.

Alex Bäuerle, Heiko Neumann, Timo Ropinski

CoRR, 2018