Thomas Möllenhoff

Dr. Thomas Möllenhoff is a post-doctoral researcher at RIKEN AIP's Approximate Bayesian Inference Team. He earned his PhD in Informatics from the Technical University of Munich in 2020, where he focused on nonconvex optimization methods for image processing and computer vision.

• Education: PhD in Informatics (Technical University of Munich, 2020)

His research bridges Bayesian principles with deep learning advancements. Recent work involves Sharpness-aware minimization (SAM) and uncertainty estimation in neural networks. He received recognition for his contributions to computer vision (CVPR 2016) and Bayesian deep learning (NeurIPS 2021 challenge).

Scientific Awards:

• Best Paper Honorable Mention at CVPR 2016
• First-place at NeurIPS 2021 Challenge on Approximate Inference in Bayesian Deep Learning