Luca Eyring


I am an ELLIS PhD student in the Explainable Machine Learning Group at the University of Tübingen under the supervision of Zeynep Akata and Alexey Dosovitskiy (Google Berlin). I am broadly interested in generative modeling, representation learning, and optimal transport.

I pursued a Bachelor in Informatics at LMU Munich and a Master specializing in Machine Learning at Technical University of Munich, during which I was fortunate to partake in a number of research projects. I worked on early-stage Alzheimer’s classification together with the LMU Department of Nuclear Medicine, on Transfer Learning for audio classification under Stephan Günnemann which I continued as a working student at BMW, and completed my Master’s thesis at Helmholtz Munich, supervised by Niki Kilbertus and Fabian Theis.

Selected Publications


  1. ICLR
    Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation
    Luca Eyring*, Dominik Klein*, Théo Uscidda*, and 4 more authors
    In International Conference on Learning Representations (ICLR), 2024