معرفی
Manuel Welte is a Researcher at BIFOLD (Berlin Institute for the Foundations of Learning and Data) and a PhD candidate at the Technical University of Berlin. His work focuses on transforming neural network architectures into inherently interpretable machine learning models.
- Education: M.Sc. in Computer Science from Freie Universität Berlin (2024).
Research Interests:
- Explainable Machine Learning
- Inherently Interpretable Models
- ML for Medical Applications
- Probabilistic ML
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