Marco Cuturi
Identifiers
- name variant Marco Cuturi 0.60 · backfill
Papers (40)
- Locking Pretrained Weights via Deep Low-Rank Residual Distillation cs.LG · 2026 · author #4
- DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures cs.LG · 2026 · author #6
- Nectar: Neural Estimation of Cached-Token Attention via Regression cs.LG · 2026 · author #4
- Scaling Categorical Flow Maps cs.LG · 2026 · author #6
- HyperTransport: Amortized Conditioning of T2I Generative Models cs.LG · 2026 · author #4
- Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing cs.LG · 2026 · author #3
- LaCy: What Small Language Models Can and Should Learn is Not Just a Question of Loss cs.CL · 2026 · author #5
- Deep multi-class learning from label proportions cs.LG · 2019 · author #3
- Stochastic Deep Networks stat.ML · 2018 · author #3
- Semi-dual Regularized Optimal Transport cs.LG · 2018 · author #1
- Unsupervised Hyperalignment for Multilingual Word Embeddings cs.CL · 2018 · author #3
- Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport stat.ML · 2018 · author #2
- Wasserstein regularization for sparse multi-task regression stat.ML · 2018 · author #2
- Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions stat.ML · 2018 · author #2
- Log-PCA versus Geodesic PCA of histograms in the Wasserstein space stat.ME · 2017 · author #4
- Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning stat.ML · 2017 · author #6
- Sliced Wasserstein Kernel for Persistence Diagrams cs.CG · 2017 · author #2
- GAN and VAE from an Optimal Transport Point of View stat.ML · 2017 · author #3
- Learning Generative Models with Sinkhorn Divergences stat.ML · 2017 · author #3
- Soft-DTW: a Differentiable Loss Function for Time-Series stat.ML · 2017 · author #1
- Wasserstein Discriminant Analysis stat.ML · 2016 · author #2
- Stochastic Optimization for Large-scale Optimal Transport math.OC · 2016 · author #3
- Mean-Reverting Portfolios: Tradeoffs Between Sparsity and Volatility q-fin.ST · 2015 · author #1
- On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests math.ST · 2015 · author #3
- Wasserstein Training of Boltzmann Machines stat.ML · 2015 · author #3
- Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric stat.ML · 2015 · author #2
- Fast Optimal Transport Averaging of Neuroimaging Data cs.CV · 2015 · author #3
- A Smoothed Dual Approach for Variational Wasserstein Problems stat.ML · 2015 · author #1
- Iterative Bregman Projections for Regularized Transportation Problems math.NA · 2014 · author #3
- Fast Computation of Wasserstein Barycenters stat.ML · 2013 · author #1
- Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances stat.ML · 2013 · author #1
- Positivity and Transportation stat.ML · 2012 · author #1
- Ground Metric Learning stat.ML · 2011 · author #1
- Autoregressive Kernels For Time Series stat.ML · 2011 · author #1
- Positive Definite Kernels in Machine Learning stat.ML · 2009 · author #1
- Kernels for Measures Defined on the Gram Matrix of their Support stat.ML · 2009 · author #1
- A kernel for time series based on global alignments cs.CV · 2006 · author #1
- The generating function of the polytope of transport matrices $U(r,c)$ as a positive semidefinite kernel of the marginals $r$ and $c$ cs.LG · 2006 · author #1
- Multiresolution Kernels cs.LG · 2005 · author #1
- A covariance kernel for proteins q-bio.GN · 2003 · author #1
Mentions
- 1209.2655 #1 · backfill · confidence 0.70 Marco Cuturi
- 1110.2306 #1 · backfill · confidence 0.70 Marco Cuturi
- 2602.12005 #5 · arxiv_oai · confidence 0.70 Marco Cuturi
- 1101.0673 #1 · backfill · confidence 0.70 Marco Cuturi
- 0911.5367 #1 · backfill · confidence 0.70 Marco Cuturi
- 0909.0991 #1 · backfill · confidence 0.70 Marco Cuturi
Frequent Coauthors
- Gabriel Peyr\'e 7 shared papers
- Pierre Ablin 5 shared papers
- Jean-Philippe Vert 3 shared papers
- Jo\~ao Monteiro 3 shared papers
- Alexandre Gramfort 2 shared papers
- Anastasiia Filippova 2 shared papers
- Arnaud Doucet 2 shared papers
- Aude Genevay 2 shared papers
- Eleonora Gualdoni 2 shared papers
- Louis B\'ethune 2 shared papers
- Steve Oudot 2 shared papers
- Vivien Seguy 2 shared papers
- Aaditya Ramdas 1 shared papers
- Alain Rakotomamonjy 1 shared papers
- Alexandre d'Aspremont 1 shared papers
- Amitis Shidani 1 shared papers
- Armand Joulin 1 shared papers
- Boris Muzellec 1 shared papers
- CEREMADE) 1 shared papers
- David Avis 1 shared papers