The Machine Learning and Data Engineering (MLDE) group focuses on developing efficient and scalable implementations of modern machine learning methods. Our research addresses key challenges such as reducing the computational resources required for the inference phase of large-scale deep learning models or accelerating training through distributed computing.

More information on selected publications, ongoing projects, etc. can be found on the group's external website.