Marco Cuturi

Affiliations

AppleEnsae

papers

753

total citations

papers (16)

Efficient and Modular Implicit Differentiation

NEURIPS 2022arXiv

296

citations

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form

NEURIPS 2020arXiv

citations

Projection Robust Wasserstein Distance and Riemannian Optimization

NEURIPS 2020arXiv

citations

Supervised Training of Conditional Monge Maps

NEURIPS 2022arXiv

citations

Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm

NEURIPS 2020arXiv

citations

Simple ReFlow: Improved Techniques for Fast Flow Models

ICLR 2025arXiv

citations

Linear Time Sinkhorn Divergences using Positive Features

NEURIPS 2020arXiv

citations

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

ICML 2025arXiv

citations

Marco Cuturi

Affiliations

papers (16)

Efficient and Modular Implicit Differentiation

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form

Projection Robust Wasserstein Distance and Riemannian Optimization

Supervised Training of Conditional Monge Maps

Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm

Simple ReFlow: Improved Techniques for Fast Flow Models

Linear Time Sinkhorn Divergences using Positive Features

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Controlling Language and Diffusion Models by Transporting Activations

Low-rank Optimal Transport: Approximation, Statistics and Debiasing

Contrasting Multiple Representations with the Multi-Marginal Matching Gap

Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency

Unbalanced Low-rank Optimal Transport Solvers

Careful with that Scalpel: Improving Gradient Surgery with an EMA

On a Neural Implementation of Brenier's Polar Factorization

Learning with Differentiable Pertubed Optimizers

papers (16)

Efficient and Modular Implicit Differentiation

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form

Projection Robust Wasserstein Distance and Riemannian Optimization

Supervised Training of Conditional Monge Maps

Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm

Simple ReFlow: Improved Techniques for Fast Flow Models

Linear Time Sinkhorn Divergences using Positive Features

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Controlling Language and Diffusion Models by Transporting Activations

Low-rank Optimal Transport: Approximation, Statistics and Debiasing

Contrasting Multiple Representations with the Multi-Marginal Matching Gap

Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency

Unbalanced Low-rank Optimal Transport Solvers

Careful with that Scalpel: Improving Gradient Surgery with an EMA

On a Neural Implementation of Brenier's Polar Factorization

Learning with Differentiable Pertubed Optimizers