Alex Bäuerle

According to our database, Alex Bäuerle authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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