| 2025 | ICLR | Simple ReFlow: Improved Techniques for Fast Flow Models. | Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton |
| 2025 | ICLR | Controlling Language and Diffusion Models by Transporting Activations. | Pau Rodrguez, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau |
| 2025 | ICLR | Disentangled Representation Learning with the Gromov-Monge Gap. | Tho Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi |
| 2025 | ICML | Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection. | Louis Bthune, David Grangier, Dan Busbridge, Eleonora Gualdoni, Marco Cuturi, Pierre Ablin |
| 2025 | ICML | Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency. | Michael Kirchhof, James Thornton, Louis Bthune, Pierre Ablin, Eugne Ndiaye, Marco Cuturi |
| 2025 | ICML | Addressing Misspecification in Simulation-based Inference through Data-driven Calibration. | Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Jrn-Henrik Jacobsen, Marco Cuturi |
| 2024 | AISTATS | A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport. | Tianyi Lin, Marco Cuturi, Michael I. Jordan |
| 2024 | AISTATS | Structured Transforms Across Spaces with Cost-Regularized Optimal Transport. | Othmane Sebbouh, Marco Cuturi, Gabriel Peyr |
| 2024 | ICML | Careful with that Scalpel: Improving Gradient Surgery with an EMA. | Yu-Guan Hsieh, James Thornton, Eugne Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin |
| 2024 | ICML | Contrasting Multiple Representations with the Multi-Marginal Matching Gap. | Zoe Piran, Michal Klein, James Thornton, Marco Cuturi |
| 2024 | ICML | On a Neural Implementation of Brenier's Polar Factorization. | Nina Vesseron, Marco Cuturi |
| 2023 | AISTATS | The Schrdinger Bridge between Gaussian Measures has a Closed Form. | Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause |
| 2023 | AISTATS | Rethinking Initialization of the Sinkhorn Algorithm. | James Thornton, Marco Cuturi |
| 2023 | ICML | Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps. | Marco Cuturi, Michal Klein, Pierre Ablin |
| 2023 | ICML | The Monge Gap: A Regularizer to Learn All Transport Maps. | Tho Uscidda, Marco Cuturi |
| 2022 | AISTATS | Proximal Optimal Transport Modeling of Population Dynamics. | Charlotte Bunne, Laetitia Papaxanthos, Andreas Krause, Marco Cuturi |
| 2022 | AISTATS | Randomized Stochastic Gradient Descent Ascent. | Othmane Sebbouh, Marco Cuturi, Gabriel Peyr |
| 2022 | ICML | Debiaser Beware: Pitfalls of Centering Regularized Transport Maps. | Aram-Alexandre Pooladian, Marco Cuturi, Jonathan Niles-Weed |
| 2022 | ICML | Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs. | Meyer Scetbon, Gabriel Peyr, Marco Cuturi |
| 2021 | AISTATS | On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. | Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan |
| 2021 | AISTATS | Equitable and Optimal Transport with Multiple Agents. | Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi |
| 2021 | ICML | Low-Rank Sinkhorn Factorization. | Meyer Scetbon, Marco Cuturi, Gabriel Peyr |
| 2020 | AISTATS | Precision-Recall Curves Using Information Divergence Frontiers. | Josip Djolonga, Mario Lucic, Marco Cuturi, Olivier Bachem, Olivier Bousquet, Sylvain Gelly |
| 2020 | AISTATS | Spatio-temporal alignments: Optimal transport through space and time. | Hicham Janati, Marco Cuturi, Alexandre Gramfort |
| 2020 | AISTATS | Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport. | Franois-Pierre Paty, Alexandre d'Aspremont, Marco Cuturi |
| 2020 | ICML | Supervised Quantile Normalization for Low Rank Matrix Factorization. | Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert |
| 2020 | ICML | Debiased Sinkhorn barycenters. | Hicham Janati, Marco Cuturi, Alexandre Gramfort |
| 2020 | ICML | Missing Data Imputation using Optimal Transport. | Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi |
| 2020 | ICML | Regularized Optimal Transport is Ground Cost Adversarial. | Franois-Pierre Paty, Marco Cuturi |
| 2019 | AISTATS | Sample Complexity of Sinkhorn Divergences. | Aude Genevay, Lnac Chizat, Francis R. Bach, Marco Cuturi, Gabriel Peyr |
| 2019 | AISTATS | Wasserstein regularization for sparse multi-task regression. | Hicham Janati, Marco Cuturi, Alexandre Gramfort |
| 2019 | ICLR | Unsupervised Hyper-alignment for Multilingual Word Embeddings. | Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin |
| 2019 | ICML | Stochastic Deep Networks. | Gwendoline de Bie, Gabriel Peyr, Marco Cuturi |
| 2019 | ICML | Subspace Robust Wasserstein Distances. | Franois-Pierre Paty, Marco Cuturi |
| 2018 | AISTATS | Learning Generative Models with Sinkhorn Divergences. | Aude Genevay, Gabriel Peyr, Marco Cuturi |
| 2017 | ICML | Sliced Wasserstein Kernel for Persistence Diagrams. | Mathieu Carrire, Marco Cuturi, Steve Oudot |
| 2017 | ICML | Soft-DTW: a Differentiable Loss Function for Time-Series. | Marco Cuturi, Mathieu Blondel |
| 2016 | AISTATS | Fast Dictionary Learning with a Smoothed Wasserstein Loss. | Antoine Rolet, Marco Cuturi, Gabriel Peyr |
| 2016 | ICML | Gromov-Wasserstein Averaging of Kernel and Distance Matrices. | Gabriel Peyr, Marco Cuturi, Justin Solomon |
| 2015 | ICML | Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations. | Tam Le, Marco Cuturi |
| 2014 | ICML | Fast Computation of Wasserstein Barycenters. | Marco Cuturi, Arnaud Doucet |
| 2013 | ACML | Generalized Aitchison Embeddings for Histograms. | Tam Le, Marco Cuturi |
| 2013 | ICML | Mean Reversion with a Variance Threshold. | Marco Cuturi, Alexandre d'Aspremont |
| 2011 | ICML | Fast Global Alignment Kernels. | Marco Cuturi |
| 2011 | ICML | Mapping kernels for trees. | Kilho Shin, Marco Cuturi, Tetsuji Kuboyama |
| 2007 | ICASSP | A Kernel for Time Series Based on Global Alignments. | Marco Cuturi, Jean-Philippe Vert, ystein Birkenes, Tomoko Matsui |
| 2007 | IJCAI | Permanents, Transport Polytopes and Positive Definite Kernels on Histograms. | Marco Cuturi |
| 2004 | IJCNN | A mutual information kernel for sequences. | Marco Cuturi, Jean-Philippe Vert |