Transfer Learning for User Adaptation in Spoken Dialogue Systems. - Aude Genevay; Romain Laroche (AAMAS, 2016)

The Negotiation Dialogue Game. - Romain Laroche; Aude Genevay (IWSDS, 2016)

Stochastic Optimization for Large-scale Optimal Transport. - Aude Genevay; Marco Cuturi; Gabriel Peyré; Francis R. Bach (NIPS, 2016)

Learning Generative Models with Sinkhorn Divergences. - Aude Genevay; Gabriel Peyré; Marco Cuturi (AISTATS, 2018)

Sample Complexity of Sinkhorn Divergences. - Aude Genevay; Lénaïc Chizat; Francis R. Bach; Marco Cuturi; Gabriel Peyré (AISTATS, 2019)

Differentiable Deep Clustering with Cluster Size Constraints. - Aude Genevay; Gabriel Dulac-Arnold; Jean-Philippe Vert (CoRR, 2019)

Entropy-Regularized Optimal Transport for Machine Learning. (Régularisation Entropique du Transport Optimal pour le Machine Learning). - Aude Genevay (2019)

Continuous Regularized Wasserstein Barycenters. - Lingxiao Li; Aude Genevay; Mikhail Yurochkin; Justin M. Solomon (NeurIPS, 2020)

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

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

Improving approximate optimal transport distances using quantization. - Gaspard Beugnot; Aude Genevay; Kristjan H. Greenewald; Justin Solomon 001 (UAI, 2021)