Luca Eyring

I am an ELLIS PhD student in the EML Group at the Technical University of Munich and Helmholtz AI under the supervision of Zeynep Akata and Alexey Dosovitskiy (Inceptive). As part of my ELLIS exachange, I had the pleasure to spend time at Inceptive working with among others Alexey and Jakob Uszkoreit. I am broadly interested in generative modeling, representation learning, and optimal transport. My research is generously supported by the Google PhD Fellowship 2025 in ML Foundations.

Previously, 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

2025

NeurIPS

Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models

Luca Eyring, Shyamgopal Karthik, Alexey Dosovitskiy, and 2 more authors

In Neural Information Processing Systems (NeurIPS), 2025

Bib PDF Demo Code

@inproceedings{eyring2025hypernoise,
  author = {Eyring, Luca and Karthik, Shyamgopal and Dosovitskiy, Alexey and Ruiz, Nataniel and Akata, Zeynep},
  title = {Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=DbzREoPwmM},
}

ICLR

Disentangled Representation Learning with the Gromov-Monge Gap

Théo Uscidda*, Luca Eyring*, Karsten Roth, and 3 more authors

In International Conference on Learning Representations (ICLR), 2025

And in SPIGM Workshop @ ICML 2024

Bib PDF

@inproceedings{uscidda2025gromovmonge,
  title = {Disentangled Representation Learning with the Gromov-Monge Gap},
  author = {Uscidda, Théo and Eyring, Luca and Roth, Karsten and Theis, Fabian and Akata, Zeynep and Cuturi, Marco},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://openreview.net/forum?id=ehr4oTe6XI},
}

2024

NeurIPS

ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization

Luca Eyring*, Shyamgopal Karthik*, Karsten Roth, and 2 more authors

In Neural Information Processing Systems (NeurIPS), 2024

Bib PDF Demo Code

@inproceedings{eyring2024reno,
  title = {ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization},
  author = {Eyring, Luca and Karthik, Shyamgopal and Roth, Karsten and Dosovitskiy, Alexey and Akata, Zeynep},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://openreview.net/forum?id=MXY0qsGgeO},
}

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

Bib PDF Talk Code

@inproceedings{eyring2024unbalancedness,
  title = {Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation},
  author = {Eyring, Luca and Klein, Dominik and Uscidda, Th{\'e}o and Palla, Giovanni and Kilbertus, Niki and Akata, Zeynep and Theis, Fabian J},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://openreview.net/forum?id=2UnCj3jeao},
}