Machine Learning
Interpretable ML Methods, Data Modeling, Anomaly Detection
The Distinguished Research Group of Prof. Dr. Klaus-Robert Müller is concentrating on the development of robust and interpretable machine learning methods for learning from complex structured and non-stationary data and the fusion of heterogeneous multi-modal data sources. A special focus lies on the efficient modeling of non-stationary, heterogeneous and structured data sources with deep learning and kernel methods. He and his team also work on theoretically sound incorporation of a priori knowledge from the application domain as well as the detection of anomalies in structured data. The resulting models are expected not only to be accurate, but also to explain their nonlinear decisions, quantify decision uncertainties, and create new knowledge about the studied data. In addition, Klaus-Robert Müller has been pursuing a long history of bringing machine learning into the sciences, which has helped to arrive at genuinely novel insights. In the last decade his attention has focused primarily on quantum chemistry, cancer research as well as computational neuroscience.
Molecular relaxation by reverse diffusion with time step prediction
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression
BIFOLD researchers present three papers at ICLR 2024
The International Conference on Learning Representations (ICLR) is a Core-A gathering of experts who are dedicated to advancing a branch of artificial intelligence known as representation learning, which is also called deep learning.
Call for XAI-Papers!
Two research groups associated with BIFOLD take part in the organization of the 2nd World Conference on Explainable Artificial Intelligence. Each group is hosting a special track and has already published a Call for Papers. Researchers are encouraged to submit their papers by March 5th, 2024.
BIFOLD Graduate School Welcomes New Cohort
The BIFOLD Graduate School warmly greeted its latest cohort of doctoral candidates during the Welcome Days event. Ten exceptional scholars were selected from over 100 applicants to pursue their research journey.
Director
Postdoctoral Researcher
Doctoral Researcher
Management
Doctoral Researcher
Postdoctoral Researcher
Doctoral Researcher
Doctoral Researcher
Doctoral Researcher
Doctoral Researcher
Doctoral Researcher
Doctoral Researcher
Postdoctoral Researcher
Doctoral Researcher
Postdoctoral Researcher