Welcome to the Machine Learning Group at Technische Universität Kaiserslautern
The Machine Learning Group at TU Kaiserslautern was established at HU Berlin in 2014 and moved to TU Kaiserslautern in 2017. The group currently comprises professors, postdoc, PhD students, and student assistants. The group is interested in theory and algorithms of statistical machine learning (especially deep learning) and its applications. Our research covers a broad range of topics and applications, where we try to unify theoretically proven approaches (e.g., based on learning theory) with recent advances (e.g., in deep learning or reinforcement learning). Topics we have been working on include multi-modal learning, anomaly detection, extreme classification, adversarial learning, explainable AI, and applications of ML in the life sciences, chemical engineering, and text analysis. Members of the group have received various awards, including the Google Most Influential Papers Award, the ICML and NIPS Best Reviewer Awards, and the Emmy-Noether Career Award (DFG). The group contributes the community with helpful service. Members of the group have been reviewing for more than 50 conferences and 30 journals. They have been serving as associate editor for journals (JMLR, TNNLS) and area chair of conferences (AAAI, AISTATS, and ECML). The group is committed to improving the diversity, equity, and inclusion in the machine learning field as evidenced for example by the high percentage of women on all levels of academic qualifications.