Daniel Dold
Scholar

Daniel Dold

Google Scholar ID: 4NxWqvEAAAAJ
LMU Munich, Institute for Optical Systems, HTWG Konstanz
Bayesian Deep Learning
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Citations & Impact
All-time
Citations
25
 
H-index
4
 
i10-index
0
 
Publications
9
 
Co-authors
0
 
Contact
GitHubOpen ↗
Publications
2 items
On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors
2026
Cited
0
Paths and Ambient Spaces in Neural Loss Landscapes
2025
Cited
0
Resume (English only)
Academic Achievements
  • Publication: CNN-Based Monocular 3D Ship Detection Using Inverse Perspective (co-authored with Griesser D, Umlauf G, Franz MO), Global Oceans 2020, Oceans Conference and Exposition, October 5th - 30th 2020, virtual.
Research Experience
  • PhD student at the chair of Statistical Learning and Data Science (SLDS) at Ludwig-Maximilians-University (LMU) Munich since March 2021. The PhD position is in collaboration with the Institute for optical systems (IOS).
Education
  • Bachelor's Degree (B.Eng.) in Automotive Information Technology from HTWG Konstanz; Master's Degree (M.Sc.) in Computer Science (MSI-AS) from HTWG Konstanz.
Background
  • Main interests are in modelling uncertainty with neural networks, particularly focusing on Bayesian neural networks for active learning applications. Field: Statistical Learning and Data Science.
Miscellany
  • You can find me on GitHub.
Co-authors
0 total
Co-authors: 0 (list not available)