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

2022

Modeling Single-Cell Dynamics Using Unbalanced Parameterized Monge Maps

Luca Eyring*, Dominik Klein*, Giovanni Palla*, and 4 more authors

Contributed Talk at NeurIPS Meaningful Representations of Life Workshop, 2022.

Bib PDF Talk

@inproceedings{eyring2022modeling,
  title = {Modeling Single-Cell Dynamics Using Unbalanced Parameterized Monge Maps},
  author = {Eyring, Luca and Klein, Dominik and Palla, Giovanni and Becker, S{\"o}ren and Weiler, Philipp and Kilbertus, Niki and Theis, Fabian J},
  booktitle = {NeurIPS 2022 Workshop on Learning Meaningful Representations of Life},
  year = {2022},
  url = {https://openreview.net/forum?id=3ZcryDcnoW2},
}