Uscidda, Théo

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

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 GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics Dominik Klein, Théo Uscidda, Fabian Theis, Marco Cuturi

NeurIPS 2024 Mirror and Preconditioned Gradient Descent in Wasserstein Space Clément Bonet, Théo Uscidda, Adam David, Pierre-Cyril Aubin-Frankowski, Anna Korba

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

ICML 2023 The Monge Gap: A Regularizer to Learn All Transport Maps Théo Uscidda, Marco Cuturi