Thomas Moellenhoff
Scholar

Thomas Moellenhoff

Google Scholar ID: KAqmeqAAAAAJ
Senior Research Scientist, RIKEN AIP
Deep LearningBayesian Deep LearningArtificial Intelligence
Citations & Impact
All-time
Citations
454
 
H-index
13
 
i10-index
14
 
Publications
20
 
Co-authors
41
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Multiple papers accepted at top conferences such as NeurIPS and ICLR; area chair for ICLR 2026 and AISTATS 2026; invited talks at various international workshops and conferences.
Research Experience
  • Worked as a postdoctoral researcher with Emtiyaz Khan; currently a senior research scientist at RIKEN Center for Advanced Intelligence Project.
Education
  • Completed my PhD in the Computer Vision Group at TU Munich under the guidance of Daniel Cremers.
Background
  • I am a tenured senior research scientist at the RIKEN Center for Advanced Intelligence Project, affiliated with the Adaptive Bayesian Intelligence team and a core member of the Bayes Duality project. My current research focuses on the design and analysis of new algorithms to improve deep learning via Bayesian principles.