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Publication of educative MATLAB tutorials on MathWorks FileExchange

Project: NoMADS

Updated at: 28-04-2024

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Fast and stable schemes for non-linear osmosis filtering

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Updated at: 28-04-2024

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Joint reconstruction-segmentation on graphs

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Updated at: 28-04-2024

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Learning phase field mean curvature flows with neural networks

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Updated at: 28-04-2024

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Modes of Homogeneous Gradient Flows

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Updated at: 28-04-2024

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Graph Based Semi-supervised Learning Using Spatial Segregation Theory

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Updated at: 28-04-2024

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The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme

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Multi-channel U-Net for Music Source Separation

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Updated at: 28-04-2024

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Autophosphorylation and the dynamics of the activation of Lck

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An Analysis of Generative Methods for Multiple-Image Inpainting

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Updated at: 28-04-2024

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Error estimates for finite differences approximations of the total variation

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Updated at: 28-04-2024

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Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation

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Uniform convergence rates for Lipschitz learning on graphs

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Updated at: 28-04-2024

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An elementary analysis of ridge regression with random design

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Updated at: 28-04-2024

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Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization

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Updated at: 28-04-2024

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"Improving ""Fast Iterative Shrinkage-Thresholding Algorithm"": Faster, Smarter, and Greedier"

Project: NoMADS

Updated at: 28-04-2024

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From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds

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Always Look On The Bright Side Of The Field: Merging Pose And Contextual Data To Estimate Orientation Of Soccer Players

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Updated at: 28-04-2024

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Modular-Proximal Gradient Algorithms in Variable Exponent Lebesgue Spaces

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Updated at: 28-04-2024

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Structural analysis of an L-infinity variationalproblem and relations to distance functions

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Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

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Updated at: 28-04-2024

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Learning Football Body-Orientation as a Matter of Classification

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Updated at: 28-04-2024

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The U-Net Family for Epicardial Adipose Tissue Segmentation and Quantification in Low-Dose CT

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Updated at: 28-04-2024

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ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions

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Deep limits of residual neural networks

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Updated at: 28-04-2024

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3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning

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Updated at: 28-04-2024

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Approximation of surface diffusion flow: a second order variational Cahn--Hilliard model with degenerate mobilities

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Approximating the total variation with finite differences or finite elements

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Recent Approaches for Image Colorization

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Updated at: 28-04-2024

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Deep learning of normal form autoencoders for universal, parameter-dependent dynamics

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Updated at: 28-04-2024

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Resources

Selected filters:

Publication of educative MATLAB tutorials on MathWorks FileExchange

Fast and stable schemes for non-linear osmosis filtering

Joint reconstruction-segmentation on graphs

Learning phase field mean curvature flows with neural networks

Modes of Homogeneous Gradient Flows

Graph Based Semi-supervised Learning Using Spatial Segregation Theory

The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme

Multi-channel U-Net for Music Source Separation

Autophosphorylation and the dynamics of the activation of Lck

An Analysis of Generative Methods for Multiple-Image Inpainting

Error estimates for finite differences approximations of the total variation

Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation

Uniform convergence rates for Lipschitz learning on graphs

An elementary analysis of ridge regression with random design

Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization

"Improving ""Fast Iterative Shrinkage-Thresholding Algorithm"": Faster, Smarter, and Greedier"

From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds

Always Look On The Bright Side Of The Field: Merging Pose And Contextual Data To Estimate Orientation Of Soccer Players

Modular-Proximal Gradient Algorithms in Variable Exponent Lebesgue Spaces

Structural analysis of an L-infinity variationalproblem and relations to distance functions

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

Learning Football Body-Orientation as a Matter of Classification

The U-Net Family for Epicardial Adipose Tissue Segmentation and Quantification in Low-Dose CT

ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions

Deep limits of residual neural networks

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning

Approximation of surface diffusion flow: a second order variational Cahn--Hilliard model with degenerate mobilities

Approximating the total variation with finite differences or finite elements

Recent Approaches for Image Colorization

Deep learning of normal form autoencoders for universal, parameter-dependent dynamics