Thilo Spinner

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/.