Thilo Spinner

en | de
M.Sc.
Computer and
Information Science

About me

Currently, I'm a PhD candidate in the workgroup for data analysis and visualization of Prof. Dr. Keim at the University of Konstanz. My field of research is the visual explainability of AI algorithms and the debugging of neural networks. During my bachelors and masters degree I have specialized in computer graphics and image processing. As a hobby, I like to realize small projects in the maker scene. I especially enjoy working in a team and jointly solving difficult problems. I'm interested in science and love to familiarize myself with new topics.

Curriculum vitae

since
2018
Feb
Academic Employee University of Konstanz
2016
Oct
2018
Jan
Master of Science University of Konstanz
2014
Sep
2017
Dec
Student Employee Siemens Postal, Parcel & Airport Logistics
2014
Mar
2014
Aug
Internship Semester Siemens
2011
Oct
2016
Sep
Bachelor of Science University of Konstanz
2003
Sep
2011
May
Abitur Okengymnasium Offenburg

Publications

[1] Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady. "explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning". In: IEEE Transactions on Visualization and Computer Graphics (2019). https://ieeexplore.ieee.org/document/8807299.
[2] Jochen Görtler, Thilo Spinner, Dirk Streeb, Daniel Weiskopf, Oliver Deussen. "Uncertainty-Aware Principal Component Analysis". In: IEEE Transactions on Visualization and Computer Graphics (2019). https://arxiv.org/abs/1905.01127.
[3] Thilo Spinner, Jonas Körner, Jochen Görtler und Oliver Deussen. "Towards an Interpretable Latent Space – An Intuitive Comparison of Autoencoders with Variational Autoencoders". In: Proceedings of the Workshop on Visualization for AI explainability (VISxAI) (2018). https://spinthil.github.io/towards-an-interpretable-latent-space/.