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06/10/2023
An Optimization-based Deep Equilibrium Model for Hyperspectral Image Deconvolution with Convergence Guarantees
In this paper, we propose a novel methodology for addressing the hypersp...
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05/29/2023
Deep Equilibrium Models Meet Federated Learning
In this study the problem of Federated Learning (FL) is explored under a...
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03/29/2022
Connections between Deep Equilibrium and Sparse Representation models with Application to Hyperspectral Imaging
In this study, the problem of computing a sparse representation of multi...
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08/08/2020