Preprints

Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin Solomon. "Continuous Regularized Wasserstein Barycenters" Submitted.

Sebastian Claici, Aude Genevay, Justin Solomon. "Wasserstein Measure Coresets" Submitted.

Aude Genevay, Jean-Philippe Vert, Gabriel Dulac-Arnold. "Differentiable Deep Clustering with Cluster Size Constraints" Tech Report.

Publications

Aude Genevay. "Entropy-Regularized Optimal Transport for Machine Learning" PhD Thesis .

Aude Genevay, Lénaïc Chizat, Francis Bach, Marco Cuturi, Gabriel Peyré. "Sample Complexity of Sinkhorn Divergences" International Conference on Artificial Intelligence and Statistics 2019 (AISTATS 2019).

Aude Genevay, Gabriel Peyré, Marco Cuturi. "Learning Generative Models with Sinkhorn Divergences" International Conference on Artificial Intelligence and Statistics 2018 (AISTATS 2018).

Aude Genevay, Marco Cuturi, Gabriel Peyré and Francis Bach. "Stochastic Optimization for Large-scale Optimal Transport." Advances in Neural Information Processing Systems 2016 (NIPS 2016)

Aude Genevay and Romain Laroche. "Transfer Learning for User Adaptation in Spoken Dialogue Systems." .Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, 2016