ERD

Mass-conserving diffusion-based dynamics on graphs

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Modes of Homogeneous Gradient Flows

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

FISTA restart using an automatic estimation of the growth parameter

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

SCOTCH and SODA: A Transformer Video Shadow Detection Framework

Project: NoMADS

Updated at: 28-04-2024

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A sparse optimization approach to infinite infimal convolution regularization

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Construction and Monte Carlo estimation of wavelet frames generated by a reproducing kernel

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Analysis of Different Losses for Deep Learning Image Colorization

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Minimizing Quotient Regularization Model

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Robust Image Reconstruction With Misaligned Structural Information

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Classification and Feature Selection Using a Primal-Dual Method and Projections on Structured Constraints

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

A Linear Transportation Lp Distance for Pattern Recognition

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Continuum Limits of Nonlocal $p$-Laplacian Variational Problems on Graphs

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Using Player's Body-Orientation to Model Pass Feasibility in Soccer

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Variational models on graphs and related flows for data analysis and image processing

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Anatomy-aided deep learning for medical image segmentation: a review

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Mumford–Shah functionals on graphs and their asymptotics

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Residual Whiteness Principle for Automatic Parameter Selection in l2-l2 Image Super-Resolution Problems

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Duality for Neural Networks through Reproducing Kernel Banach Spaces

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Revealing stable and unstable modes of denoisers through nonlinear eigenvalue analysis

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Convergence rates of the Heavy-Ball method with Lojasiewicz property

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Zeroth-order optimization with orthogonal random directions

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Contrastive Registration for Unsupervised Medical Image Segmentation

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Resolution-Invariant Image Classification Based on Fourier Neural Operators

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

COL0RME: COvariance-based $ell_0$ super-Resolution Microscopy with intensity Estimation

Project: NoMADS

Updated at: 28-04-2024

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Unsupervised Image Restoration Using Partially Linear Denoisers

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

On the Emergence of Whole-Body Strategies From Humanoid Robot Push-Recovery Learning

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

imaging with equivariant deep learning: from unrolled network design to fully unsupervised learning

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Graph Laplacian for Semi-supervised Learning

Project: NoMADS

Updated at: 28-04-2024

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Project acronym NoMADS

Resources

Selected filters:

Mass-conserving diffusion-based dynamics on graphs

Modes of Homogeneous Gradient Flows

FISTA restart using an automatic estimation of the growth parameter

SCOTCH and SODA: A Transformer Video Shadow Detection Framework

A sparse optimization approach to infinite infimal convolution regularization

Construction and Monte Carlo estimation of wavelet frames generated by a reproducing kernel

Analysis of Different Losses for Deep Learning Image Colorization

Minimizing Quotient Regularization Model

Robust Image Reconstruction With Misaligned Structural Information

Classification and Feature Selection Using a Primal-Dual Method and Projections on Structured Constraints

A Linear Transportation Lp Distance for Pattern Recognition

Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks

Continuum Limits of Nonlocal $p$-Laplacian Variational Problems on Graphs

Using Player's Body-Orientation to Model Pass Feasibility in Soccer

Variational models on graphs and related flows for data analysis and image processing

Anatomy-aided deep learning for medical image segmentation: a review

Mumford–Shah functionals on graphs and their asymptotics

Residual Whiteness Principle for Automatic Parameter Selection in l2-l2 Image Super-Resolution Problems

CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification

Duality for Neural Networks through Reproducing Kernel Banach Spaces

Revealing stable and unstable modes of denoisers through nonlinear eigenvalue analysis

Convergence rates of the Heavy-Ball method with Lojasiewicz property

Zeroth-order optimization with orthogonal random directions

Contrastive Registration for Unsupervised Medical Image Segmentation

Resolution-Invariant Image Classification Based on Fourier Neural Operators

COL0RME: COvariance-based $ell_0$ super-Resolution Microscopy with intensity Estimation

Unsupervised Image Restoration Using Partially Linear Denoisers

On the Emergence of Whole-Body Strategies From Humanoid Robot Push-Recovery Learning

imaging with equivariant deep learning: from unrolled network design to fully unsupervised learning

Graph Laplacian for Semi-supervised Learning