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08/22/2023
A Study of Particle Motion in the Presence of Clusters
The motivation for this study came from the task of analysing the kineti...
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05/19/2023
Generative Sliced MMD Flows with Riesz Kernels
Maximum mean discrepancy (MMD) flows suffer from high computational cost...
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06/09/2022
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks
Sparsity-based methods have a long history in the field of signal proces...
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03/04/2022
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks
The concept of sparsity has been extensively applied for regularization ...
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12/19/2019
Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging
In this paper we present a generalized Deep Learning-based approach to s...
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04/01/2019