Universität Ulm
Institute of Media Informatics
Visual Computing Group logo Visual Computing Group Ulm University

I completed my masters degree at the Institute of Media Informatics 2017 before joining the research group Visual Computing. Since then, I work on visualization in the domain of artificial intelligence. In case you want to know more about me and my research, go to my personal page.

Alex Bäerle has successfully defended his phd thesis of the title Visualization-based Neural Network Introspection in December 2022.

Research interests

  • Neural Network Visualization
  • Explainable AI
  • AI Fairness

Lectures

I supervise(d) the following lectures:

  • Deep Learning for Graphics and Visualization (WS 19/20)
  • Projekt/Anwendungsfach Data Visualization (reoccuring)
  • Seminar Techniken zur visualisierung Neuronaler Netze (SS 18)
  • Interaktive Computergrafik (WS 16/18)

Publications

14 papers
Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images
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
MICCAI 2025 ↓PDF ‹›Code
A Survey on Quality Metrics for Text-to-Image Generation
A Survey on Quality Metrics for Text-to-Image Generation
Sebastian Hartwig, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski
TVCG 2025 ↓PDF
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics
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
arXiv ↓PDF
mint: Integrating Scientific Visualizations Into Virtual Reality
mint: Integrating Scientific Visualizations Into Virtual Reality
Sergej Geringer, Florian Geiselhart, Alex Bäuerle, Dominik Dec, Olivia Odenthal, Guido Reina, Timo Ropinski, Daniel Weiskopf
JapanVis 2024 ↓PDF
Semantic Hierarchical Exploration of Large Image Datasets
Semantic Hierarchical Exploration of Large Image Datasets
Alex Bäuerle, Christian van Onzenoodt, Daniel Jönsson, Timo Ropinski
EuroVis 2023 ↓PDF
Symphony: Composing Interactive Interfaces for Machine Learning
Symphony: Composing Interactive Interfaces for Machine Learning
Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz
CHI 2022 ↓PDF ▶Video
Where did my Lines go? Visualizing Missing Data in Parallel Coordinates
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
EuroVis 2022 ↓PDF ‹›Code ▶Video
Measuring Model Biases in the Absence of Ground Truth
Measuring Model Biases in the Absence of Ground Truth
Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell
AIES 2021 ↓PDF
Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations
Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations
Alex Bäuerle, Christian van Onzenoodt, Timo Ropinski
TVCG 2021 ↓PDF ‹›Code
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration
Alex Bäuerle, Raphael Störk, Timo Ropinski
Visual Computer 2020 ↓PDF ‹›Code
Automatic identification of crossovers in cryo-EM images of murine amyloid protein A fibrils with machine learning
Automatic identification of crossovers in cryo-EM images of murine amyloid protein A fibrils with machine learning
Matthias Weber, Alex Bäuerle, Matthias Schmidt, Matthias Neumann, Marcus Fähndrich, Timo Ropinski, Volker Schmidt
jmi 2020 ↓PDF
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks
Alex Bäuerle, Heiko Neumann, Timo Ropinski
CGF 2020 ↓PDF ‹›Code ▶Video
What does BERT dream of?
What does BERT dream of?
Alex Bäuerle, James Wexler
VISxAI 2020 ‹›Code ▶Video
Convolutional neural network (CNN) applied to respiratory motion detection in fluoroscopic frames
Convolutional neural network (CNN) applied to respiratory motion detection in fluoroscopic frames
Christoph Baldauf, Alex Bäuerle, Timo Ropinski, Volker Rasche, Ina Vernikouskaya
ijcars 2019 ↓PDF
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