Welcome to the Machine Learning Group from the Technische Universität Kaiserslautern
The machine-learning group at TU Kaiserslautern was established in 2014 at HU Berlin 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 they try to unify theoretically proven approaches (e.g., based on learning theory) with recent advances (e.g., in deep learning and reinforcement learning). Topics we have been working on include multi-modal learning, anomaly detection, extreme classification, adversarial learning for computer security, and explainable AI. Members of the group have received various awards, including the Google Most Influential Papers award (2014). The group contributes the community with helpful service. Members of the group have reviewed for more than 50 conferences and 30 journals. Marius Kloft has been frequently serving as an area chair for AAAI, AISTATS, and ECML, and he is an associate editor of IEEE TNNLS.