Eyring, Luca

6 publications

ICLR 2025 Disentangled Representation Learning with the Gromov-Monge Gap Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J Theis, Zeynep Akata, Marco Cuturi

NeurIPS 2025 Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models Luca Eyring, Shyamgopal Karthik, Alexey Dosovitskiy, Nataniel Ruiz, Zeynep Akata

ICMLW 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

NeurIPS 2024 ReNO: Enhancing One-Step Text-to-Image Models Through Reward-Based Noise Optimization Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata

ICLR 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

NeurIPSW 2022 Modeling Single-Cell Dynamics Using Unbalanced Parameterized Monge Maps Luca Eyring, Dominik Klein, Giovanni Palla, Sören Becker, Philipp Weiler, Niki Kilbertus, Fabian J Theis