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Théo Uscidda
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2020 – today
- 2024
- [c2]Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian J. Theis:
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation. ICLR 2024 - [i5]Clément Bonet, Théo Uscidda, Adam David, Pierre-Cyril Aubin-Frankowski, Anna Korba:
Mirror and Preconditioned Gradient Descent in Wasserstein Space. CoRR abs/2406.08938 (2024) - [i4]Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi:
Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap. CoRR abs/2407.07829 (2024) - 2023
- [c1]Théo Uscidda, Marco Cuturi:
The Monge Gap: A Regularizer to Learn All Transport Maps. ICML 2023: 34709-34733 - [i3]Théo Uscidda, Marco Cuturi:
The Monge Gap: A Regularizer to Learn All Transport Maps. CoRR abs/2302.04953 (2023) - [i2]Dominik Klein, Théo Uscidda, Fabian J. Theis, Marco Cuturi:
Generative Entropic Neural Optimal Transport To Map Within and Across Spaces. CoRR abs/2310.09254 (2023) - [i1]Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian J. Theis:
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation. CoRR abs/2311.15100 (2023)
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