Abstract: First-order optimization algorithms, often preferred for large problems, require the gradient of the differentiable terms in the objective function. These gradients often involve linear ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The development of low-loss reconfigurable integrated optical devices enables further ...
ABSTRACT: Let μ M,D be a self-affine measure associated with an expanding integer matrix M=[ p 1 ,0,0; p 4 , p 2 ,0; p 5 ,0, p 3 ] and the digit set D={ 0, e 1 , e 2 , e 3 } in the space R 3 , where p ...
This work presents the mathematical/theoretical framework of the “nth-Order Feature Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint ...
Michael is a video game reviewer for Game Rant and has been writing about games professionally since 2016. He prides himself on playing and finishing as many video games as he can in all sorts of ...
Abstract: This study develops prestack least-squares reverse time migration (LSRTM) for high-resolution ground-penetrating radar (GPR) imaging and compares its performance to standard RTM. We use the ...
Adjoint operators have been found to be effective in the exploration of CNN's inner workings (Wan and Choe, 2022). However, the previous no-bias assumption restricted its generalization. We overcome ...
Julia framework for constructing matrix-free linear operators with explicit domain/range type control and applying them in basic algebraic matrix-vector operations. Julia Operator LIbrary (JOLI) is a ...
There are several methods in the exploration of Convolutional Neural Networks' (CNNs') inner workings. However, in general, finding the inverse of the function performed by CNNs as a whole is an ...
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