I am a PhD student at the chair of Statistical Learning and Data Science (SLDS) at the Ludwig-Maximilians-University (LMU) Munich since March 2021. My PhD position is in collaboration with the Institute for optical systems (IOS). The IOS is located at the HTWG Konstanz - University of Applied Sciences, through which I am formally funded. My main interests are in modelling uncertainty with neural networks. Currently, I am focusing on modelling Bayesian neural networks to show their performance on active learning applications.
I have a Bachelor's Degree (B.Eng.) in Automotive Information Technology from the HTWG Konstanz and a Master's Degree (M.Sc.) in Computer Science (MSI-AS) from the HTWG Konstanz.
Institut für Statistik
daniel.dold [at] htwg-konstanz.de
- Bayesian Deep Learning
- Uncertainty quantification
You Can Find me on
- Griesser D, Dold D, Umlauf G, Franz MO (2020) CNN-Based Monocular 3D Ship Detection Using Inverse Perspective Global Oceans 2020, Oceans Conference and Exposition, October 5th - 30th 2020, virtual, https://globaloceans2020.org/proceedings/session.cfm?sid=11&SG=11.