ERD

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization

Project: NORIA

Updated at: 27-06-2024

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Project acronym NORIA

Periodic Reporting for period 4 - NORIA (Numerical Optimal tRansport for ImAging)

Project: NORIA

Updated at: 15-06-2024

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Project acronym NORIA

The sliding Frank–Wolfe algorithm and its application to super-resolution microscopy

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Geometric Losses for Distributional Learning

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Super-efficiency of automatic differentiation for functions defined as a minimum

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

A Low-Rank Approach to Off-the-Grid Sparse Superresolution

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Sample Complexity of Sinkhorn divergences

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

MultiDimensional Sparse Super-Resolution

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Momentum Residual Neural Networks

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Sinkformers: Transformers with Doubly Stochastic Attention

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Online Sinkhorn: Optimal Transport distances from sample streams

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

An Interpolating Distance Between Optimal Transport and Fisher–Rao Metrics

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Unbalanced optimal transport: Dynamic and Kantorovich formulations

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Sensitivity Analysis for Mirror-Stratifiable Convex Functions

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Local linear convergence analysis of Primal–Dual splitting methods

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Computational Optimal Transport

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Semidual Regularized Optimal Transport

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Support localization and the fisher metric for off-the-grid sparse regularization

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Model Consistency for Learning with Mirror-Stratifiable Regularizers

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Optimal Transport improves cell-cell similarity inference in single-cell omics data

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Ground Metric Learning on Graphs

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Wasserstein Control of Mirror Langevin Monte Carlo

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Faster Wasserstein Distance Estimation with the Sinkhorn Divergence

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Unsupervised Ground Metric Learning using Wasserstein Eigenvectors

Project: NORIA

Updated at: 27-04-2024

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Project acronym NORIA

Resources

Selected filters:

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization

Periodic Reporting for period 4 - NORIA (Numerical Optimal tRansport for ImAging)

The sliding Frank–Wolfe algorithm and its application to super-resolution microscopy

Geometric Losses for Distributional Learning

Super-efficiency of automatic differentiation for functions defined as a minimum

A Low-Rank Approach to Off-the-Grid Sparse Superresolution

Sample Complexity of Sinkhorn divergences

MultiDimensional Sparse Super-Resolution

Momentum Residual Neural Networks

Sinkformers: Transformers with Doubly Stochastic Attention

Online Sinkhorn: Optimal Transport distances from sample streams

An Interpolating Distance Between Optimal Transport and Fisher–Rao Metrics

Unbalanced optimal transport: Dynamic and Kantorovich formulations

Sensitivity Analysis for Mirror-Stratifiable Convex Functions

Local linear convergence analysis of Primal–Dual splitting methods

Computational Optimal Transport

Semidual Regularized Optimal Transport

Support localization and the fisher metric for off-the-grid sparse regularization

Model Consistency for Learning with Mirror-Stratifiable Regularizers

Optimal Transport improves cell-cell similarity inference in single-cell omics data

Ground Metric Learning on Graphs

Wasserstein Control of Mirror Langevin Monte Carlo

Faster Wasserstein Distance Estimation with the Sinkhorn Divergence

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form

Unsupervised Ground Metric Learning using Wasserstein Eigenvectors