Genevay, Aude

7 publications

NeurIPS 2021 Do Neural Optimal Transport Solvers Work? a Continuous Wasserstein-2 Benchmark Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M Solomon, Alexander Filippov, Evgeny Burnaev

UAI 2021 Improving Approximate Optimal Transport Distances Using Quantization Gaspard Beugnot, Aude Genevay, Kristjan Greenewald, Justin Solomon

NeurIPS 2021 Large-Scale Wasserstein Gradient Flows Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M Solomon, Evgeny Burnaev

NeurIPS 2020 Continuous Regularized Wasserstein Barycenters Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin M Solomon

AISTATS 2019 Sample Complexity of Sinkhorn Divergences Aude Genevay, Lénaïc Chizat, Francis Bach, Marco Cuturi, Gabriel Peyré

AISTATS 2018 Learning Generative Models with Sinkhorn Divergences Aude Genevay, Gabriel Peyré, Marco Cuturi

NeurIPS 2016 Stochastic Optimization for Large-Scale Optimal Transport Aude Genevay, Marco Cuturi, Gabriel Peyré, Francis Bach