← Authors

Marco Cuturi

69 papers · 2005–2025 · 6 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (19) 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (20) 🌍 Conference Polyglot (6) 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (7) 🏠 Conference Loyalist (23) πŸ† Keyword Champion (12) πŸ”¬ Deep Specialist (12) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown 🌱 Topic Pioneer 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (67) ⚑ Prolific Year (8) πŸ’Ž Century Club (69) πŸ”₯ Unstoppable (13)

Conferences

ICML (23) NIPS (23) AISTATS (15) ICLR (4) JMLR (3) ACML (1)

Top co-authors

Gabriel PeyrΓ© (11) Michal Klein (8) James Thornton (6) meyer scetbon (6) Jean-philippe Vert (6) Tianyi Lin (5) Pierre Ablin (5) Jonathan Niles-Weed (4) Hicham Janati (4) Michael I. Jordan (4)

Research topics

Optimization (1)

Keywords

optimal transport (43) wasserstein distance (16) entropic regularization (15) sinkhorn algorithm (12) probability measure (7) kernel methods (6) entropy regularization (6) metric learning (5) sinkhorn divergence (4) transport map (4) generative model (3) gaussian measure (3) monge map (3) wasserstein barycenter (3) wasserstein metric (3) neural network (3) kernel matrix (2) differentiable programming (2) dynamic time warping (2) low-rank approximation (2)

Papers

Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection ICML 2025
Controlling Language and Diffusion Models by Transporting Activations ICLR 2025
Simple ReFlow: Improved Techniques for Fast Flow Models ICLR 2025
Disentangled Representation Learning with the Gromov-Monge Gap ICLR 2025
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration ICML 2025
Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency ICML 2025
Contrasting Multiple Representations with the Multi-Marginal Matching Gap ICML 2024
Progressive Entropic Optimal Transport Solvers NIPS 2024
GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics NIPS 2024
Learning Elastic Costs to Shape Monge Displacements NIPS 2024
On a Neural Implementation of Brenier’s Polar Factorization ICML 2024
Careful with that Scalpel: Improving Gradient Surgery with an EMA ICML 2024
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport AISTATS 2024
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024
The Monge Gap: A Regularizer to Learn All Transport Maps ICML 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps ICML 2023
Rethinking Initialization of the Sinkhorn Algorithm AISTATS 2023
The SchrΓΆdinger Bridge between Gaussian Measures has a Closed Form AISTATS 2023
Unbalanced Low-rank Optimal Transport Solvers NIPS 2023
On the Complexity of Approximating Multimarginal Optimal Transport JMLR 2022
Efficient and Modular Implicit Differentiation NIPS 2022
Low-rank Optimal Transport: Approximation, Statistics and Debiasing NIPS 2022
Supervised Training of Conditional Monge Maps NIPS 2022
Randomized Stochastic Gradient Descent Ascent AISTATS 2022
Proximal Optimal Transport Modeling of Population Dynamics AISTATS 2022
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps ICML 2022
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs ICML 2022
Low-Rank Sinkhorn Factorization ICML 2021
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification AISTATS 2021
Equitable and Optimal Transport with Multiple Agents AISTATS 2021
Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020
Regularized Optimal Transport is Ground Cost Adversarial ICML 2020
Linear Time Sinkhorn Divergences using Positive Features NIPS 2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form NIPS 2020
Learning with Differentiable Pertubed Optimizers NIPS 2020
Projection Robust Wasserstein Distance and Riemannian Optimization NIPS 2020
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport AISTATS 2020
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm NIPS 2020
Precision-Recall Curves Using Information Divergence Frontiers AISTATS 2020
Spatio-temporal alignments: Optimal transport through space and time AISTATS 2020
Missing Data Imputation using Optimal Transport ICML 2020
Debiased Sinkhorn barycenters ICML 2020
Tree-Sliced Variants of Wasserstein Distances NIPS 2019
Unsupervised Hyper-alignment for Multilingual Word Embeddings ICLR 2019
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections NIPS 2019
Differentiable Ranking and Sorting using Optimal Transport NIPS 2019
Stochastic Deep Networks ICML 2019
Subspace Robust Wasserstein Distances ICML 2019
Sample Complexity of Sinkhorn Divergences AISTATS 2019
Wasserstein regularization for sparse multi-task regression AISTATS 2019
Learning Generative Models with Sinkhorn Divergences AISTATS 2018
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport NIPS 2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions NIPS 2018
Soft-DTW: a Differentiable Loss Function for Time-Series ICML 2017
Sliced Wasserstein Kernel for Persistence Diagrams ICML 2017
Fast Dictionary Learning with a Smoothed Wasserstein Loss AISTATS 2016
Wasserstein Training of Restricted Boltzmann Machines NIPS 2016
Stochastic Optimization for Large-scale Optimal Transport NIPS 2016
Gromov-Wasserstein Averaging of Kernel and Distance Matrices ICML 2016
Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations ICML 2015
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric NIPS 2015
Fast Computation of Wasserstein Barycenters ICML 2014
Ground Metric Learning JMLR 2014
Generalized Aitchison Embeddings for Histograms ACML 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transport NIPS 2013
Mean Reversion with a Variance Threshold ICML 2013
White Functionals for Anomaly Detection in Dynamical Systems NIPS 2009
Kernels on Structured Objects Through Nested Histograms NIPS 2006
Semigroup Kernels on Measures JMLR 2005