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Total-Variation Mode Decomposition

Project: NoMADS

Updated at: 28-04-2024

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Decentralised Learning with Random Features and Distributed Gradient Descent

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Updated at: 28-04-2024

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Using migrating cells as probes to illuminate features in live embryonic tissues

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Updated at: 28-04-2024

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Approximation of multiphase mean curvature flows with arbitrary nonnegative mobilities

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Updated at: 28-04-2024

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Graph Merriman--Bence--Osher as a SemiDiscrete Implicit Euler Scheme for Graph Allen--Cahn Flow

Project: NoMADS

Updated at: 28-04-2024

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Deeply Learned Spectral Total Variation Decomposition

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Updated at: 28-04-2024

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TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems

Project: NoMADS

Updated at: 28-04-2024

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Détection et localisation d'objets 3D par apprentissage profond en topologie capteur

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Updated at: 28-04-2024

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RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud

Project: NoMADS

Updated at: 28-04-2024

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On Fast Leverage Score Sampling and Optimal Learning

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Updated at: 28-04-2024

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Fast approximation of orthogonal matrices and application to PCA

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Updated at: 28-04-2024

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On a class of singularly perturbed elliptic systems with asymptotic phase segregation

Project: NoMADS

Updated at: 28-04-2024

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Learned SVD: solving inverse problems via hybrid autoencoding

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Updated at: 28-04-2024

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Deep learning of circulating tumour cells

Project: NoMADS

Updated at: 28-04-2024

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Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification

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Updated at: 28-04-2024

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Fast Image and LiDAR alignment based on 3D rendering in sensor topology

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Updated at: 28-04-2024

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Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis

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Updated at: 28-04-2024

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Higher-Order Total Directional Variation: Analysis

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Updated at: 28-04-2024

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Weak and approximate curvatures of a measure: a varifold perspective

Project: NoMADS

Updated at: 28-04-2024

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On the Connection Between Adversarial Robustness and Saliency Map Interpretability

Project: NoMADS

Updated at: 28-04-2024

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Learning optimal orders of the underlying Euclidean norm in total variation image denoising

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Updated at: 28-04-2024

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Learning the Sampling Pattern for MRI

Project: NoMADS

Updated at: 28-04-2024

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Deep learning as optimal control problems: Models and numerical methods

Project: NoMADS

Updated at: 28-04-2024

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Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data

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Updated at: 28-04-2024

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On the Bias-Variance Tradeoff in Stochastic Gradient Methods

Project: NoMADS

Updated at: 28-04-2024

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Parallel Random Block-Coordinate Forward-Backward Algorithm: A Unified Convergence Analysis

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Updated at: 28-04-2024

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Multi-Scale Vector Quantization with Reconstruction Trees

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Updated at: 28-04-2024

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Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces

Project: NoMADS

Updated at: 28-04-2024

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Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret

Project: NoMADS

Updated at: 28-04-2024

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Implicit Regularization of Accelerated Methods in Hilbert Spaces

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Updated at: 28-04-2024

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Resources

Selected filters:

Total-Variation Mode Decomposition

Decentralised Learning with Random Features and Distributed Gradient Descent

Using migrating cells as probes to illuminate features in live embryonic tissues

Approximation of multiphase mean curvature flows with arbitrary nonnegative mobilities

Graph Merriman--Bence--Osher as a SemiDiscrete Implicit Euler Scheme for Graph Allen--Cahn Flow

Deeply Learned Spectral Total Variation Decomposition

TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems

Détection et localisation d'objets 3D par apprentissage profond en topologie capteur

RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud

On Fast Leverage Score Sampling and Optimal Learning

Fast approximation of orthogonal matrices and application to PCA

On a class of singularly perturbed elliptic systems with asymptotic phase segregation

Learned SVD: solving inverse problems via hybrid autoencoding

Deep learning of circulating tumour cells

Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification

Fast Image and LiDAR alignment based on 3D rendering in sensor topology

Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis

Higher-Order Total Directional Variation: Analysis

Weak and approximate curvatures of a measure: a varifold perspective

On the Connection Between Adversarial Robustness and Saliency Map Interpretability

Learning optimal orders of the underlying Euclidean norm in total variation image denoising

Learning the Sampling Pattern for MRI

Deep learning as optimal control problems: Models and numerical methods

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data

On the Bias-Variance Tradeoff in Stochastic Gradient Methods

Parallel Random Block-Coordinate Forward-Backward Algorithm: A Unified Convergence Analysis

Multi-Scale Vector Quantization with Reconstruction Trees

Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces

Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret

Implicit Regularization of Accelerated Methods in Hilbert Spaces