معرفی
Prof. Dr. Ullrich Köthe is an Associate Professor and group leader in the Visual Learning Lab Heidelberg at the University of Heidelberg. He focuses on Explainable Machine Learning, leveraging Invertible Neural Networks to enhance transparency and utility in image analysis and medical applications. He also maintains the widely used VIGRA image analysis library.
- Education:
- PhD in Informatics, University of Hamburg, 2000
- Habilitation in Informatics, University of Hamburg, 2008
His research interests center around machine learning, image analysis, and scientific computing, particularly the development of robust algorithms for medical imaging, computer vision, and life sciences. His work on invertible neural networks and parameter-free segmentation has led to significant advancements in the field.
Recent publications highlight his contributions to Bayesian inference, neural network interpretability, and stochastic modeling, with applications ranging from disease outbreak dynamics to connectomics. Key trends include generative models, parameter-free segmentation, and likelihood-free inference.
- Scientific Awards:
- DAGM 2003 Main Prize
- DAGM Best Paper Award 2008
He has supervised numerous Master and Bachelor theses in machine learning and image analysis, with teaching roles in Advanced Machine Learning and Explainable AI. His collaborative research grants include funding from HARMAN International (2024).
He leads the Explainable Machine Learning subgroup and has contributed to open-source software projects like ilastik and VIGRA, which are critical tools in bioimage analysis.
