Marco Cuturi - RankMe

182 papers A* 45A 15B 1C 2Journal 105Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Amortizing Maximum Inner Product Search with Learned Support Functions. CoRR Theo X. Olausson, João Monteiro, Michal Klein, Marco Cuturi
2026	J	`jnl`	LaCy: What Small Language Models Can and Should Learn is Not Just a Question of Loss. CoRR Szilvia Ujváry, Louis Béthune, Pierre Ablin, João Monteiro, Marco Cuturi, Michael Kirchhof
2026	J	`jnl`	The Coupling Within: Flow Matching via Distilled Normalizing Flows. CoRR David Berthelot, Tianrong Chen, Jiatao Gu, Marco Cuturi, Laurent Dinh, Bhavik Chandna, Michal Klein, Joshua M. Susskind, Shuangfei Zhai
2026	J	`jnl`	The Design Space of Tri-Modal Masked Diffusion Models. CoRR Louis Béthune, Victor Turrisi, Bruno Kacper Mlodozeniec, Pau Rodríguez López, Lokesh Boominathan, Nikhil Bhendawade, Amitis Shidani, Joris Pelemans, Theo X. Olausson, R. Devon Hjelm, Paul Dixon, João Monteiro, Pierre Ablin, Vishnu Banna, Arno Blaas, Nick Henderson, Kari Noriy, Dan Busbridge, Joshua M. Susskind, Marco Cuturi, Irina Belousova, Luca Zappella, Russ Webb, Jason Ramapuram
2025	A*	`conf`	Addressing Misspecification in Simulation-based Inference through Data-driven Calibration. ICML Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Jörn-Henrik Jacobsen, Marco Cuturi
2025	J	`jnl`	Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration. CoRR Bruno Mlodozeniec, Pierre Ablin, Louis Béthune, Dan Busbridge, Michal Klein, Jason Ramapuram, Marco Cuturi
2025	A*	`conf`	Controlling Language and Diffusion Models by Transporting Activations. ICLR Pau Rodríguez, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau
2025	A*	`conf`	Disentangled Representation Learning with the Gromov-Monge Gap. ICLR Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi
2025	J	`jnl`	End-to-end Learning of Sparse Interventions on Activations to Steer Generation. CoRR Pau Rodríguez, Michal Klein, Eleonora Gualdoni, Arno Blaas, Luca Zappella, Marco Cuturi, Xavier Suau
2025	J	`jnl`	Flow Matching with Semidiscrete Couplings. CoRR Alireza Mousavi Hosseini, Stephen Y. Zhang, Michal Klein, Marco Cuturi
2025	J	`jnl`	Functions on Symmetric Matrices and Point Clouds via Lightweight Invariant Features from Galois Theory. SIAM J. Appl. Algebra Geom. Ben Blum-Smith, Ningyuan Teresa Huang, Marco Cuturi, Soledad Villar
2025	J	`jnl`	Learning Unmasking Policies for Diffusion Language Models. CoRR Metod Jazbec, Theo X. Olausson, Louis Béthune, Pierre Ablin, Michael Kirchhof, João Monteiro, Victor Turrisi, Jason Ramapuram, Marco Cuturi
2025	J	`jnl`	Multivariate Conformal Prediction using Optimal Transport. CoRR Michal Klein, Louis Béthune, Eugène Ndiaye, Marco Cuturi
2025	J	`jnl`	On Fitting Flow Models with Large Sinkhorn Couplings. CoRR Michal Klein, Alireza Mousavi Hosseini, Stephen Y. Zhang, Marco Cuturi
2025	J	`jnl`	Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures. CoRR Nina Vesseron, Louis Béthune, Marco Cuturi
2025	A*	`conf`	Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection. ICML Louis Béthune, David Grangier, Dan Busbridge, Eleonora Gualdoni, Marco Cuturi, Pierre Ablin
2025	J	`jnl`	Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection. CoRR Louis Béthune, David Grangier, Dan Busbridge, Eleonora Gualdoni, Marco Cuturi, Pierre Ablin
2025	A*	`conf`	Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency. ICML Michael Kirchhof, James Thornton, Louis Béthune, Pierre Ablin, Eugène Ndiaye, Marco Cuturi
2025	A*	`conf`	Simple ReFlow: Improved Techniques for Fast Flow Models. ICLR Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton
2025	J	`jnl`	The Data-Quality Illusion: Rethinking Classifier-Based Quality Filtering for LLM Pretraining. CoRR Thiziri Nait Saada, Louis Béthune, Michal Klein, David Grangier, Marco Cuturi, Pierre Ablin
2025	J	`jnl`	The Geometries of Truth Are Orthogonal Across Tasks. CoRR Waïss Azizian, Michael Kirchhof, Eugène Ndiaye, Louis Béthune, Michal Klein, Pierre Ablin, Marco Cuturi
2024	A	`conf`	A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport. AISTATS Tianyi Lin, Marco Cuturi, Michael I. Jordan
2024	J	`jnl`	Addressing Misspecification in Simulation-based Inference through Data-driven Calibration. CoRR Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Marco Cuturi, Jörn-Henrik Jacobsen
2024	A*	`conf`	Careful with that Scalpel: Improving Gradient Surgery with an EMA. ICML Yu-Guan Hsieh, James Thornton, Eugène Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin
2024	J	`jnl`	Careful with that Scalpel: Improving Gradient Surgery with an EMA. CoRR Yu-Guan Hsieh, James Thornton, Eugène Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin
2024	A*	`conf`	Contrasting Multiple Representations with the Multi-Marginal Matching Gap. ICML Zoe Piran, Michal Klein, James Thornton, Marco Cuturi
2024	J	`jnl`	Contrasting Multiple Representations with the Multi-Marginal Matching Gap. CoRR Zoe Piran, Michal Klein, James Thornton, Marco Cuturi
2024	J	`jnl`	Controlling Language and Diffusion Models by Transporting Activations. CoRR Pau Rodríguez López, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau
2024	J	`jnl`	Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap. CoRR Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi
2024	A*	`conf`	GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics. NeurIPS Dominik Klein, Théo Uscidda, Fabian J. Theis, Marco Cuturi
2024	J	`jnl`	Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions. CoRR Yu-Guan Hsieh, Cheng-Yu Hsieh, Shih-Ying Yeh, Louis Béthune, Hadipour Ansari, Pavan Kumar Anasosalu Vasu, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, Marco Cuturi
2024	A*	`conf`	Learning Elastic Costs to Shape Monge Displacements. NeurIPS Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi
2024	J	`jnl`	Learning functions on symmetric matrices and point clouds via lightweight invariant features. CoRR Ben Blum-Smith, Ningyuan Huang, Marco Cuturi, Soledad Villar
2024	J	`jnl`	Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers. CoRR Laura Manduchi, Antoine Wehenkel, Jens Behrmann, Luca Pegolotti, Andy C. Miller, Ozan Sener, Marco Cuturi, Guillermo Sapiro, Jörn-Henrik Jacobsen
2024	A*	`conf`	On a Neural Implementation of Brenier's Polar Factorization. ICML Nina Vesseron, Marco Cuturi
2024	J	`jnl`	On a Neural Implementation of Brenier's Polar Factorization. CoRR Nina Vesseron, Marco Cuturi
2024	A*	`conf`	Progressive Entropic Optimal Transport Solvers. NeurIPS Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, Marco Cuturi
2024	J	`jnl`	Progressive Entropic Optimal Transport Solvers. CoRR Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, Marco Cuturi
2024	J	`jnl`	Simple ReFlow: Improved Techniques for Fast Flow Models. CoRR Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton
2024	J	`jnl`	Sparse Repellency for Shielded Generation in Text-to-image Diffusion Models. CoRR Michael Kirchhof, James Thornton, Pierre Ablin, Louis Béthune, Eugène Ndiaye, Marco Cuturi
2024	A	`conf`	Structured Transforms Across Spaces with Cost-Regularized Optimal Transport. AISTATS Othmane Sebbouh, Marco Cuturi, Gabriel Peyré
2023	J	`jnl`	A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport. CoRR Tianyi Lin, Marco Cuturi, Michael I. Jordan
2023	J	`jnl`	Generative Entropic Neural Optimal Transport To Map Within and Across Spaces. CoRR Dominik Klein, Théo Uscidda, Fabian J. Theis, Marco Cuturi
2023	J	`jnl`	LSMMD-MA: scaling multimodal data integration for single-cell genomics data analysis. Bioinform. Laetitia Meng-Papaxanthos, Ran Zhang, Gang Li, Marco Cuturi, William Stafford Noble, Jean-Philippe Vert
2023	J	`jnl`	Learning Costs for Structured Monge Displacements. CoRR Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi
2023	A*	`conf`	Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps. ICML Marco Cuturi, Michal Klein, Pierre Ablin
2023	J	`jnl`	Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps. CoRR Marco Cuturi, Michal Klein, Pierre Ablin
2023	A	`conf`	Rethinking Initialization of the Sinkhorn Algorithm. AISTATS James Thornton, Marco Cuturi
2023	J	`jnl`	Simulation-based Inference for Cardiovascular Models. CoRR Antoine Wehenkel, Jens Behrmann, Andrew C. Miller, Guillermo Sapiro, Ozan Sener, Marco Cuturi, Jörn-Henrik Jacobsen
2023	J	`jnl`	Structured Transforms Across Spaces with Cost-Regularized Optimal Transport. CoRR Othmane Sebbouh, Marco Cuturi, Gabriel Peyré
2023	A*	`conf`	The Monge Gap: A Regularizer to Learn All Transport Maps. ICML Théo Uscidda, Marco Cuturi
2023	J	`jnl`	The Monge Gap: A Regularizer to Learn All Transport Maps. CoRR Théo Uscidda, Marco Cuturi
2023	A	`conf`	The Schrödinger Bridge between Gaussian Measures has a Closed Form. AISTATS Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause
2023	A*	`conf`	Unbalanced Low-rank Optimal Transport Solvers. NeurIPS Meyer Scetbon, Michal Klein, Giovanni Palla, Marco Cuturi
2023	J	`jnl`	Unbalanced Low-rank Optimal Transport Solvers. CoRR Meyer Scetbon, Michal Klein, Giovanni Palla, Marco Cuturi
2022	J	`jnl`	Averaging Spatio-temporal Signals using Optimal Transport and Soft Alignments. CoRR Hicham Janati, Marco Cuturi, Alexandre Gramfort
2022	A*	`conf`	Debiaser Beware: Pitfalls of Centering Regularized Transport Maps. ICML Aram-Alexandre Pooladian, Marco Cuturi, Jonathan Niles-Weed
2022	A*	`conf`	Efficient and Modular Implicit Differentiation. NeurIPS Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert
2022	A*	`conf`	Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs. ICML Meyer Scetbon, Gabriel Peyré, Marco Cuturi
2022	A*	`conf`	Low-rank Optimal Transport: Approximation, Statistics and Debiasing. NeurIPS Meyer Scetbon, Marco Cuturi
2022	J	`jnl`	Low-rank Optimal Transport: Approximation, Statistics and Debiasing. CoRR Meyer Scetbon, Marco Cuturi
2022	J	`jnl`	On the Complexity of Approximating Multimarginal Optimal Transport. J. Mach. Learn. Res. Tianyi Lin, Nhat Ho, Marco Cuturi, Michael I. Jordan
2022	J	`jnl`	Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein. CoRR Marco Cuturi, Laetitia Meng-Papaxanthos, Yingtao Tian, Charlotte Bunne, Geoff Davis, Olivier Teboul
2022	A	`conf`	Proximal Optimal Transport Modeling of Population Dynamics. AISTATS Charlotte Bunne, Laetitia Papaxanthos, Andreas Krause, Marco Cuturi
2022	A	`conf`	Randomized Stochastic Gradient Descent Ascent. AISTATS Othmane Sebbouh, Marco Cuturi, Gabriel Peyré
2022	J	`jnl`	Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges. CoRR Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause
2022	J	`jnl`	Rethinking Initialization of the Sinkhorn Algorithm. CoRR James Thornton, Marco Cuturi
2022	C	`conf`	Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport. ICCC Yingtao Tian, Marco Cuturi, David Ha
2022	J	`jnl`	Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport. CoRR Yingtao Tian, Marco Cuturi, David Ha
2022	A*	`conf`	Supervised Training of Conditional Monge Maps. NeurIPS Charlotte Bunne, Andreas Krause, Marco Cuturi
2022	J	`jnl`	Supervised Training of Conditional Monge Maps. CoRR Charlotte Bunne, Andreas Krause, Marco Cuturi
2021	J	`jnl`	Efficient and Modular Implicit Differentiation. CoRR Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert
2021	A	`conf`	Equitable and Optimal Transport with Multiple Agents. AISTATS Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi
2021	J	`jnl`	Ground Metric Learning on Graphs. J. Math. Imaging Vis. Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré
2021	J	`jnl`	JKOnet: Proximal Optimal Transport Modeling of Population Dynamics. CoRR Charlotte Bunne, Laetitia Meng-Papaxanthos, Andreas Krause, Marco Cuturi
2021	J	`jnl`	Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs. CoRR Meyer Scetbon, Gabriel Peyré, Marco Cuturi
2021	A*	`conf`	Low-Rank Sinkhorn Factorization. ICML Meyer Scetbon, Marco Cuturi, Gabriel Peyré
2021	J	`jnl`	Low-Rank Sinkhorn Factorization. CoRR Meyer Scetbon, Marco Cuturi, Gabriel Peyré
2021	A	`conf`	On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. AISTATS Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan
2021	J	`jnl`	Randomized Stochastic Gradient Descent Ascent. CoRR Othmane Sebbouh, Marco Cuturi, Gabriel Peyré
2020	A*	`conf`	Debiased Sinkhorn barycenters. ICML Hicham Janati, Marco Cuturi, Alexandre Gramfort
2020	J	`jnl`	Debiased Sinkhorn barycenters. CoRR Hicham Janati, Marco Cuturi, Alexandre Gramfort
2020	A*	`conf`	Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form. NeurIPS Hicham Janati, Boris Muzellec, Gabriel Peyré, Marco Cuturi
2020	J	`jnl`	Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. CoRR Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima
2020	A*	`conf`	Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm. NeurIPS Tianyi Lin, Nhat Ho, Xi Chen, Marco Cuturi, Michael I. Jordan
2020	J	`jnl`	Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation. CoRR Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi
2020	A*	`conf`	Learning with Differentiable Pertubed Optimizers. NeurIPS Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach
2020	J	`jnl`	Learning with Differentiable Perturbed Optimizers. CoRR Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach
2020	A*	`conf`	Linear Time Sinkhorn Divergences using Positive Features. NeurIPS Meyer Scetbon, Marco Cuturi
2020	J	`jnl`	Linear Time Sinkhorn Divergences using Positive Features. CoRR Meyer Scetbon, Marco Cuturi
2020	A*	`conf`	Missing Data Imputation using Optimal Transport. ICML Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi
2020	J	`jnl`	Missing Data Imputation using Optimal Transport. CoRR Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi
2020	J	`jnl`	Multi-subject MEG/EEG source imaging with sparse multi-task regression. NeuroImage Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort
2020	J	`jnl`	Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design. CoRR Marco Cuturi, Olivier Teboul, Jean-Philippe Vert
2020	J	`jnl`	On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. CoRR Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan
2020	A	`conf`	Precision-Recall Curves Using Information Divergence Frontiers. AISTATS Josip Djolonga, Mario Lucic, Marco Cuturi, Olivier Bachem, Olivier Bousquet, Sylvain Gelly
2020	A*	`conf`	Projection Robust Wasserstein Distance and Riemannian Optimization. NeurIPS Tianyi Lin, Chenyou Fan, Nhat Ho, Marco Cuturi, Michael I. Jordan
2020	J	`jnl`	Projection Robust Wasserstein Distance and Riemannian Optimization. CoRR Tianyi Lin, Chenyou Fan, Nhat Ho, Marco Cuturi, Michael I. Jordan
2020	A	`conf`	Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport. AISTATS François-Pierre Paty, Alexandre d'Aspremont, Marco Cuturi
2020	A*	`conf`	Regularized Optimal Transport is Ground Cost Adversarial. ICML François-Pierre Paty, Marco Cuturi
2020	J	`jnl`	Regularized Optimal Transport is Ground Cost Adversarial. CoRR François-Pierre Paty, Marco Cuturi
2020	J	`jnl`	Revisiting Fixed Support Wasserstein Barycenter: Computational Hardness and Efficient Algorithms. CoRR Tianyi Lin, Nhat Ho, Xi Chen, Marco Cuturi, Michael I. Jordan
2020	A	`conf`	Spatio-temporal alignments: Optimal transport through space and time. AISTATS Hicham Janati, Marco Cuturi, Alexandre Gramfort
2020	A*	`conf`	Supervised Quantile Normalization for Low Rank Matrix Factorization. ICML Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert
2020	J	`jnl`	Supervised Quantile Normalization for Low-rank Matrix Approximation. CoRR Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert
2019	J	`jnl`	Computational Optimal Transport. Found. Trends Mach. Learn. Gabriel Peyré, Marco Cuturi
2019	J	`jnl`	Deep multi-class learning from label proportions. CoRR Gabriel Dulac-Arnold, Neil Zeghidour, Marco Cuturi, Lucas Beyer, Jean-Philippe Vert
2019	A*	`conf`	Differentiable Ranking and Sorting using Optimal Transport. NeurIPS Marco Cuturi, Olivier Teboul, Jean-Philippe Vert
2019	J	`jnl`	Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator. CoRR Marco Cuturi, Olivier Teboul, Jean-Philippe Vert
2019	J	`jnl`	Evaluating Generative Models Using Divergence Frontiers. CoRR Josip Djolonga, Mario Lucic, Marco Cuturi, Olivier Bachem, Olivier Bousquet, Sylvain Gelly
2019	J	`jnl`	Ground Metric Learning on Graphs. CoRR Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré
2019	—	`conf`	Group Level MEG/EEG Source Imaging via Optimal Transport: Minimum Wasserstein Estimates. IPMI Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort
2019	J	`jnl`	Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates. CoRR Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort
2019	J	`jnl`	Information Geometry for Regularized Optimal Transport and Barycenters of Patterns. Neural Comput. Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi, Marco Cuturi
2019	J	`jnl`	Multi-subject MEG/EEG source imaging with sparse multi-task regression. CoRR Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort
2019	J	`jnl`	On the Complexity of Approximating Multimarginal Optimal Transport. CoRR Tianyi Lin, Nhat Ho, Marco Cuturi, Michael I. Jordan
2019	J	`jnl`	Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport. CoRR François-Pierre Paty, Alexandre d'Aspremont, Marco Cuturi
2019	A	`conf`	Sample Complexity of Sinkhorn Divergences. AISTATS Aude Genevay, Lénaïc Chizat, Francis R. Bach, Marco Cuturi, Gabriel Peyré
2019	J	`jnl`	Spatio-Temporal Alignments: Optimal transport through space and time. CoRR Hicham Janati, Marco Cuturi, Alexandre Gramfort
2019	A*	`conf`	Stochastic Deep Networks. ICML Gwendoline de Bie, Gabriel Peyré, Marco Cuturi
2019	A*	`conf`	Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections. NeurIPS Boris Muzellec, Marco Cuturi
2019	J	`jnl`	Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections. CoRR Boris Muzellec, Marco Cuturi
2019	A*	`conf`	Subspace Robust Wasserstein Distances. ICML François-Pierre Paty, Marco Cuturi
2019	J	`jnl`	Subspace Robust Wasserstein distances. CoRR François-Pierre Paty, Marco Cuturi
2019	J	`jnl`	Tree-Sliced Approximation of Wasserstein Distances. CoRR Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
2019	A*	`conf`	Tree-Sliced Variants of Wasserstein Distances. NeurIPS Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
2019	—	`conf`	Unsupervised Hyper-alignment for Multilingual Word Embeddings. ICLR (Poster) Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin
2019	A	`conf`	Wasserstein regularization for sparse multi-task regression. AISTATS Hicham Janati, Marco Cuturi, Alexandre Gramfort
2018	A*	`conf`	Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions. NeurIPS Boris Muzellec, Marco Cuturi
2018	J	`jnl`	Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions. CoRR Boris Muzellec, Marco Cuturi
2018	J	`jnl`	Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space. SIAM J. Sci. Comput. Elsa Cazelles, Vivien Seguy, Jérémie Bigot, Marco Cuturi, Nicolas Papadakis
2018	A*	`conf`	Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport. NeurIPS Théo Lacombe, Marco Cuturi, Steve Oudot
2018	J	`jnl`	Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport. CoRR Théo Lacombe, Marco Cuturi, Steve Oudot
2018	A	`conf`	Learning Generative Models with Sinkhorn Divergences. AISTATS Aude Genevay, Gabriel Peyré, Marco Cuturi
2018	J	`jnl`	Semi-dual Regularized Optimal Transport. CoRR Marco Cuturi, Gabriel Peyré
2018	J	`jnl`	Semidual Regularized Optimal Transport. SIAM Rev. Marco Cuturi, Gabriel Peyré
2018	J	`jnl`	Stochastic Deep Networks. CoRR Gwendoline de Bie, Gabriel Peyré, Marco Cuturi
2018	J	`jnl`	Unsupervised Hyperalignment for Multilingual Word Embeddings. CoRR Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin
2018	J	`jnl`	Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning. SIAM J. Imaging Sci. Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
2018	J	`jnl`	Wasserstein discriminant analysis. Mach. Learn. Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy
2018	J	`jnl`	Wasserstein regularization for sparse multi-task regression. CoRR Hicham Janati, Marco Cuturi, Alexandre Gramfort
2017	J	`jnl`	On Wasserstein Two-Sample Testing and Related Families of Nonparametric Tests. Entropy Aaditya Ramdas, Nicolás García Trillos, Marco Cuturi
2017	—	`ed.`	Proceedings of the NIPS 2016 Time Series Workshop, co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain, December 9, 2016 NIPS Time Series Workshop Oren Anava, Azadeh Khaleghi, Marco Cuturi, Vitaly Kuznetsov, Alexander Rakhlin
2017	A*	`conf`	Sliced Wasserstein Kernel for Persistence Diagrams. ICML Mathieu Carrière, Marco Cuturi, Steve Oudot
2017	J	`jnl`	Sliced Wasserstein Kernel for Persistence Diagrams. CoRR Mathieu Carrière, Marco Cuturi, Steve Oudot
2017	A*	`conf`	Soft-DTW: a Differentiable Loss Function for Time-Series. ICML Marco Cuturi, Mathieu Blondel
2017	J	`jnl`	Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning. CoRR Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
2016	J	`jnl`	A Smoothed Dual Approach for Variational Wasserstein Problems. SIAM J. Imaging Sci. Marco Cuturi, Gabriel Peyré
2016	A	`conf`	Fast Dictionary Learning with a Smoothed Wasserstein Loss. AISTATS Antoine Rolet, Marco Cuturi, Gabriel Peyré
2016	A*	`conf`	Gromov-Wasserstein Averaging of Kernel and Distance Matrices. ICML Gabriel Peyré, Marco Cuturi, Justin Solomon
2016	—	`conf`	Stochastic Optimization for Large-scale Optimal Transport. NIPS Aude Genevay, Marco Cuturi, Gabriel Peyré, Francis R. Bach
2016	J	`jnl`	Stochastic Optimization for Large-scale Optimal Transport. CoRR Aude Genevay, Marco Cuturi, Gabriel Peyré, Francis R. Bach
2016	J	`jnl`	Wasserstein Discriminant Analysis. CoRR Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy
2016	—	`conf`	Wasserstein Training of Restricted Boltzmann Machines. NIPS Grégoire Montavon, Klaus-Robert Müller, Marco Cuturi
2016	J	`jnl`	Wasserstein barycentric coordinates: histogram regression using optimal transport. ACM Trans. Graph. Nicolas Bonneel, Gabriel Peyré, Marco Cuturi
2015	J	`jnl`	Adaptive Euclidean maps for histograms: generalized Aitchison embeddings. Mach. Learn. Tam Le, Marco Cuturi
2015	J	`jnl`	Convolutional wasserstein distances: efficient optimal transportation on geometric domains. ACM Trans. Graph. Justin Solomon, Fernando de Goes, Gabriel Peyré, Marco Cuturi, Adrian Butscher, Andy Nguyen, Tao Du, Leonidas J. Guibas
2015	—	`conf`	Fast Optimal Transport Averaging of Neuroimaging Data. IPMI Alexandre Gramfort, Gabriel Peyré, Marco Cuturi
2015	J	`jnl`	Fast Optimal Transport Averaging of Neuroimaging Data. CoRR Alexandre Gramfort, Gabriel Peyré, Marco Cuturi
2015	J	`jnl`	Iterative Bregman Projections for Regularized Transportation Problems. SIAM J. Sci. Comput. Jean-David Benamou, Guillaume Carlier, Marco Cuturi, Luca Nenna, Gabriel Peyré
2015	—	`conf`	Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric. NIPS Vivien Seguy, Marco Cuturi
2015	A*	`conf`	Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations. ICML Tam Le, Marco Cuturi
2015	J	`jnl`	Wasserstein Training of Boltzmann Machines. CoRR Grégoire Montavon, Klaus-Robert Müller, Marco Cuturi
2014	A*	`conf`	Fast Computation of Wasserstein Barycenters. ICML Marco Cuturi, Arnaud Doucet
2014	J	`jnl`	Ground metric learning. J. Mach. Learn. Res. Marco Cuturi, David Avis
2013	C	`conf`	Generalized Aitchison Embeddings for Histograms. ACML Tam Le, Marco Cuturi
2013	—	`conf`	Mean Reversion with a Variance Threshold. ICML (3) Marco Cuturi, Alexandre d'Aspremont
2013	—	`conf`	Sinkhorn Distances: Lightspeed Computation of Optimal Transport. NIPS Marco Cuturi
2011	A*	`conf`	Fast Global Alignment Kernels. ICML Marco Cuturi
2011	J	`jnl`	Ground Metric Learning CoRR Marco Cuturi, David Avis
2011	A*	`conf`	Mapping kernels for trees. ICML Kilho Shin, Marco Cuturi, Tetsuji Kuboyama
2009	—	`conf`	White Functionals for Anomaly Detection in Dynamical Systems. NIPS Marco Cuturi, Jean-Philippe Vert, Alexandre d'Aspremont
2007	—	`conf`	A Kernel for Time Series Based on Global Alignments. ICASSP (2) Marco Cuturi, Jean-Philippe Vert, Øystein Birkenes, Tomoko Matsui
2007	A*	`conf`	Permanents, Transport Polytopes and Positive Definite Kernels on Histograms. IJCAI Marco Cuturi
2006	J	`jnl`	A kernel for time series based on global alignments CoRR Marco Cuturi, Jean-Philippe Vert, Øystein Birkenes, Tomoko Matsui
2006	—	`conf`	Kernels on Structured Objects Through Nested Histograms. NIPS Marco Cuturi, Kenji Fukumizu
2006	—	`conf`	Shot Boundary Detection and High-Level Feature Extraction Experiments for TRECVID 2006. TRECVID Masaki Naito, Kazunori Matsumoto, Masami Shishibori, Kenji Kita, Marco Cuturi, Tomoko Matsui, Shin'ichi Satoh, Keiichiro Hoashi, Fumiaki Sugaya, Yasuyuki Nakajima
2005	J	`jnl`	Multiresolution Kernels CoRR Marco Cuturi, Kenji Fukumizu
2005	J	`jnl`	Semigroup Kernels on Measures. J. Mach. Learn. Res. Marco Cuturi, Kenji Fukumizu, Jean-Philippe Vert
2005	J	`jnl`	The context-tree kernel for strings. Neural Networks Marco Cuturi, Jean-Philippe Vert
2004	B	`conf`	A mutual information kernel for sequences. IJCNN Marco Cuturi, Jean-Philippe Vert
2004	—	`conf`	Semigroup Kernels on Finite Sets. NIPS Marco Cuturi, Jean-Philippe Vert