:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Vesseron, Nina, Cuturi, Marco
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2403.03071
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
by: Vesseron, Nina, et al.
Published: (2025)

On the Wasserstein Geodesic Principal Component Analysis of probability measures
by: Vesseron, Nina, et al.
Published: (2025)

Brenier Isotonic Regression
by: Bao, Han, et al.
Published: (2026)

Nectar: Neural Estimation of Cached-Token Attention via Regression
by: Monteiro, João, et al.
Published: (2026)

Learning Brenier Potentials with Convex Generative Adversarial Neural Networks
by: Drygala, Claudia, et al.
Published: (2025)

Contrasting Multiple Representations with the Multi-Marginal Matching Gap
by: Piran, Zoe, et al.
Published: (2024)

Locking Pretrained Weights via Deep Low-Rank Residual Distillation
by: Sakamoto, Keitaro, et al.
Published: (2026)

Multivariate Conformal Prediction using Optimal Transport
by: Klein, Michal, et al.
Published: (2025)

GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics
by: Klein, Dominik, et al.
Published: (2023)

A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
by: Lin, Tianyi, et al.
Published: (2023)

Nonlinear Filtering with Brenier Optimal Transport Maps
by: Al-Jarrah, Mohammad, et al.
Published: (2023)

On Fitting Flow Models with Large Sinkhorn Couplings
by: Zhang, Stephen, et al.
Published: (2025)

Amortizing Maximum Inner Product Search with Learned Support Functions
by: Olausson, Theo X., et al.
Published: (2026)

Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing
by: Filippova, Anastasiia, et al.
Published: (2026)

Flow Matching with Semidiscrete Couplings
by: Mousavi-Hosseini, Alireza, et al.
Published: (2025)

A discrete Benamou-Brenier formulation of Optimal Transport on graphs
by: Morris, Kieran, et al.
Published: (2026)

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures
by: Gualdoni, Eleonora, et al.
Published: (2026)

Careful with that Scalpel: Improving Gradient Surgery with an EMA
by: Hsieh, Yu-Guan, et al.
Published: (2024)

HyperTransport: Amortized Conditioning of T2I Generative Models
by: Maiorca, Valentino, et al.
Published: (2026)

Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection
by: Bethune, Louis, et al.
Published: (2025)

A Galois theorem for machine learning: Functions on symmetric matrices and point clouds via lightweight invariant features
by: Blum-Smith, Ben, et al.
Published: (2024)

Progressive Entropic Optimal Transport Solvers
by: Kassraie, Parnian, et al.
Published: (2024)

Scaling Categorical Flow Maps
by: Davis, Oscar, et al.
Published: (2026)

Learning Elastic Costs to Shape Monge Displacements
by: Klein, Michal, et al.
Published: (2023)

The Data-Quality Illusion: Rethinking Classifier-Based Quality Filtering for LLM Pretraining
by: Saada, Thiziri Nait, et al.
Published: (2025)

Disentangled Representation Learning with the Gromov-Monge Gap
by: Uscidda, Théo, et al.
Published: (2024)

Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency
by: Kirchhof, Michael, et al.
Published: (2024)

Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
by: Baptista, Ricardo, et al.
Published: (2024)

Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration
by: Mlodozeniec, Bruno, et al.
Published: (2025)

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
by: Wehenkel, Antoine, et al.
Published: (2024)

The Geometries of Truth Are Orthogonal Across Tasks
by: Azizian, Waiss, et al.
Published: (2025)

Learning Unmasking Policies for Diffusion Language Models
by: Jazbec, Metod, et al.
Published: (2025)

Distributional Shrinkage II: Higher-Order Scores Encode Brenier Map
by: Liang, Tengyuan
Published: (2025)

Simple ReFlow: Improved Techniques for Fast Flow Models
by: Kim, Beomsu, et al.
Published: (2024)

Nerva: a Truly Sparse Implementation of Neural Networks
by: Wesselink, Wieger, et al.
Published: (2024)

Towards Migrating Neural Network Implementations
by: Daoudi, Nadia, et al.
Published: (2025)

Simulation-based Inference for Cardiovascular Models
by: Wehenkel, Antoine, et al.
Published: (2023)

The Coupling Within: Flow Matching via Distilled Normalizing Flows
by: Berthelot, David, et al.
Published: (2026)

Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision
by: Jayasuriya, Dinithi, et al.
Published: (2024)

Implementing a GRU Neural Network for Flood Prediction in Ashland City, Tennessee
by: Fordjour, George K., et al.
Published: (2024)