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Geometric Variational Models for Inverse Problems in Imaging

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Fréchet means in Wasserstein space

Yoav Zemel

This work studies the problem of statistical inference for Fréchet means in the Wasserstein space of measures on Euclidean spaces,

\mathcal W_2 ( \mathbb R^d )

. This question arises naturally from the problem of separating amplitude and phase variation i ...

EPFL2017

Geometric Variational Models for Inverse Problems in Imaging

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Chat with Graph Search

Discovering Structured Variations Via Template Matching

Dynamo Catalogue: Geometrical tools and data management for particle picking in subtomogram averaging of cryo-electron tomograms

Gaussian Mixture Regression on Symmetric Positive Definite Matrices Manifolds: Application to Wrist Motion Estimation with sEMG

Asynchronous updates for stochastic gradient descent

Porosity evolution at the brittle-ductile transition in the continental crust: Implications for deep hydro-geothermal circulation

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Fréchet means in Wasserstein space

Ultrafast ultrasound imaging as an inverse problem: Matrix-free sparse image reconstruction

Quantization Design for Distributed Optimization

Linear and non-linear studies of spurious backward-wave instabilities in a smooth-wall gyrotron beam duct

Fréchet means in Wasserstein space

Dynamo Catalogue: Geometrical tools and data management for particle picking in subtomogram averaging of cryo-electron tomograms

Discovering Structured Variations Via Template Matching

Ultrafast ultrasound imaging as an inverse problem: Matrix-free sparse image reconstruction

Linear and non-linear studies of spurious backward-wave instabilities in a smooth-wall gyrotron beam duct

Gaussian Mixture Regression on Symmetric Positive Definite Matrices Manifolds: Application to Wrist Motion Estimation with sEMG

Asynchronous updates for stochastic gradient descent

Porosity evolution at the brittle-ductile transition in the continental crust: Implications for deep hydro-geothermal circulation

Scalable greedy algorithms for transfer learning

Quantization Design for Distributed Optimization