Robust joint reconstruction of misaligned images using semi-parametric dictionaries

We propose a method for signal reconstruction in semi-parametric dictionaries. The proposed algorithm estimates both the signal decomposition and the intrinsic parameters of the dictionary during the reconstruction process. Theoretical results about the convergence of the algorithm are presented. The method is used here for joint reconstruction of misaligned images.

Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

Robust joint reconstruction of misaligned images using semi-parametric dictionaries

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Residual-based attention in physics-informed neural networks

A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces

Efficient Continual Finite-Sum Minimization

Residual-based attention in physics-informed neural networks

A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces

Efficient Continual Finite-Sum Minimization