Publications

Publications in reversed chronological order. (*) denotes equal contribution.

2024

  1. 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
  2. Disentangled Representation Learning with the Gromov-Monge Gap
    Théo Uscidda*, Luca Eyring*, Karsten Roth, and 3 more authors
    In ICML Workshop on Structured Probabilistic Inference & Generative Modeling, 2024
  3. 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

2022

  1. LMRL_preview.png
    Modeling Single-Cell Dynamics Using Unbalanced Parameterized Monge Maps
    Luca Eyring*, Dominik Klein*, Giovanni Palla*, and 4 more authors
    In NeurIPS Workshop on Learning Meaningful Representations of Life, 2022
    Contributed Talk [Oral]