Research
Research Directions:
Deep Learning Techniques: Wetraining. develop inductive biases to increase generalisation capabilities of deep neural networks. Particularly, we invent methods which induce and exploit structure of the data, the model and |
|
Explainable AI: We develop novel techniques for explaining how self-learning AI systems (like Deep Neural Networks) perform their tasks. We particularly focus on providing explanations that are understandable for non-experts while still being faithful. We use established methodology and models from neuroscience and adapt them to build and understand AI systems. |
|
Audio-Processing: Speech, Music Information Retrieval: | |
Medical Imaging: We rethink medical image processing algorithms to improve diagnosis of patients. We focus especially on the refinement of x-ray image styles and their quality. | |
Education: We research on how technology can enhance the learning experience and rethink the way we educate our students about AI. |