Luca Eyring

According to our database, Luca Eyring authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps.

Peter Holderrieth, Douglas Chen, Luca Eyring, Ishin Shah, Giri Anantharaman, Yutong He, Zeynep Akata, Tommi S. Jaakkola, Nicholas Matthew Boffi, Max Simchowitz

CoRR, February, 2026

Beyond the final layer: Attentive multilayer fusion for vision transformers.

Laure Ciernik, Marco Morik, Lukas Thede, Luca Eyring, Shinichi Nakajima, Zeynep Akata, Lukas Muttenthaler

CoRR, January, 2026

2025

Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models.

Luca Eyring, Shyamgopal Karthik, Alexey Dosovitskiy, Nataniel Ruiz, Zeynep Akata

CoRR, August, 2025

Disentangled Representation Learning with the Gromov-Monge Gap.

Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap.

Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi

CoRR, 2024

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

Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation.

Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian J. Theis

Proceedings of the Twelfth International Conference on Learning Representations, 2024