Alex Bäuerle
Researcher
My research is at the intersection of AI and HCI. In this context, I am always searching for the best method to connect humans with AI systems. I try to help developers with techniques that foster communication, use visualiztions to provide insights during development, and work on epxlanations that help them understand the decisions their AI systems make.
Education
Ph. D. in Computer Science at Ulm University
Jan 2018 - Dec 2022
Supervised by Timo Ropinski, funded by the Carl-Zeiss-Scholarship
M. Sc. in Media Informatics at Ulm University
Oct 2015 - Jun 2017
Grade: 1.1, supervised by Timo Ropinski
Positions
Postdoctoral Researcher, Carnegie Mellon University
Oct 2023 - Present
Research and development of tools in the areas of AI evaluation and prompt engineering.
Research Scientist, Sigma Computing
Oct 2022 - Jun 2023
Bringing data and analysts closer together with the help of visualization and AI.
Research Intern, Apple Machine Intelligence
Mar 2021 - Sep 2021
Designed and developed a framework for component-based ML interfaces which can be composed in different environments such as computational notebooks and web dashboards.
Research Intern, Google TensorBoard
Jun 2020 - Sep 2020
Designed and implemented a visualization approach for a novel bias detection algorithm. This visualization is designed to support large label spaces and multilabel classification problems.
Research Intern, Google PAIR
May 2019 - Aug 2019
Invented and experimented with a technique similar to Feature Visualization, but for language models.
Publications
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 , andGraham Neubig
VegaProf: Profiling Vega Visualizations
Junran Yang , Alex Bäuerle , Dominik Moritz , andÇağatay Demiralp
Semantic Hierarchical Exploration of Large Image Datasets
Alex Bäuerle , Christian van Onzenoodt , Daniel Jönsson , andTimo Ropinski
Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts
Alex Bäuerle , Daniel Jönsson , andTimo Ropinski
Symphony: Composing Interactive Interfaces for Machine Learning
Alex Bäuerle , Ángel Alexander Cabrera , Fred Hohman , Megan Maher , David Koski , Xavier Suau , Titus Barik , andDominik Moritz
Where did my Lines go? Visualizing Missing Data in Parallel Coordinates
Alex Bäuerle , Christian van Onzenoodt , Simon der Kinderen , Jimmy Johansson Westberg , Daniel Jönsson , andTimo Ropinski
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration
Alex Bäuerle , Patrick Albus , Raphael Störk , Tina Seufert , andTimo Ropinski
Visual Identification of Problematic Bias in Large Label Spaces
Alex Bäuerle , Aybuke Gul Turker , Ken Burke , Osman Aka , Timo Ropinski , Christina Greer , andMani Varadarajan
Net2Vis - A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations
Alex Bäuerle , Christian van Onzenoodt , andTimo Ropinski
Measuring Model Biases in the Absence of Ground Truth
Osman Aka , Ken Burke , Alex Bäuerle , Christina Greer , andMargaret Mitchell
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks
Alex Bäuerle , Heiko Neumann , andTimo Ropinski
Automatic identification of crossovers in cryo‐EM images of murine amyloid protein A fibrils with machine learning
Mattthias Weber , Alex Bäuerle , Matthias Schmidt , Matthias Neumann , Marcus Fähndrich , Timo Ropinski , andVolker Schmidt
Talks
Where did my Lines go? Visualizing Missing Data in Parallel Coordinates
Wed Jun 15 2022
Symphony: Composing Interactive Interfaces for Machine Learning
Wed May 04 2022
Net2Vis - A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations
Thu Oct 28 2021
Visualization for AI in Critical Domains
Mon Oct 26 2020
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks
Wed May 27 2020
Automatic Fibril-Crossover Detection in EM-Images using Deep Convolutional Networks
Thu Apr 12 2018
MedVis Workshop 2018, Ulm, Germany
Teaching
Lecture: Deep Learning for Graphics and Visualization
2019 - 2022
Created and regularly held one chapter on visualization for AI at Ulm University. Talk about different explainability techniques and visualization concepts that help investigate and communicate about AI systems.
Projects: Visualization and Explainability for AI
2017 - 2022
Supervise undergrad and grad students in regular projects. We go through the process of ideation, implementation, and writing about these projects.
Seminars: Visualization and Explainability for AI
2017 - 2022
Held regular seminars for both undergrad and grad students.
Mentoring
Junran Yang
Jun 2022 - Dec 2022
Research Intern, Sigma Computing
VegaProf: Profiling Vega Visualizations
Lena Wiedmann
Dec 2021 - Aug 2022
Bachelor Thesis, Ulm University
Creating an Interactive UI for Human/AI Collaboration in Poster Design Processes
Simon der Kinderen
Feb 2021 - Nov 2021
Master Thesis, Ulm University
Visualizing Missing Data in Parallel Coordinates
Shasa Fringston
Feb 2021 - Oct 2021
Bachelor Thesis, Ulm University
Generating Synthesizer Presets from Audio with a Neural Network
Marios Sirtmatsis
Feb 2021 - Aug 2021
Bachelor Thesis, Ulm University
Visualizing Deep Reinforcement Learning
Raphael Störk
May 2019 - Feb 2020
Bachelor Thesis, Ulm University
leaRNN: Eine Interaktive Visualisieurng rekurrenter neuronaler Netze
Christoph Baldauf
Jun 2018 - Jan 2019
Master Thesis, Ulm University
Convolutional Neural Networks (CNN) Applied to Respiratory Motion Detection in Fluoroscopic Frames
Funding
Ph. D. Scholarship: Visualization Techniques to Support Training and Analysis of Neural Networks
Jan 2018 - Dec 2021
Carl-Zeiss Scholarship for PhD Students
Undergraduate Scholarship
Oct 2012 - Sep 2015
German Stipend for Excellent Students
Reviewing and Service
VGTC - Industrial Relations Chair (2023 - Present)
VISxAI - Program Committee (2022 - Present)
TVCG (2020 - 2023)
VIS (2021, 2023)
CHI (2021, 2023)
UIST (2022)
CG&A (2022)
EuroVIS (2022)
IMWUT (2022)
VCBM (2022)
MICCAI (2022, 2023)