Abstract: The magnetic gradient tensor measurement system itself has structural errors, which are important factors affecting target localization. To analyze the influencing factors of structural ...

Abstract: In this article, we propose a novel, unified, and effective hyperspectral image (HSI) destriping and denoising method with gradient subspace-regularized HSI and stripe-coupled nonconvex ...

前回はNumPyを使ってテンソルに触れてみました。今回はPyTorchのTensorを取り扱います。 すでに学んだNumPyのテンソルの知識は、どのように役立つでしょうか。 画像データなどはNumPy形式のデータとして扱われることが多くPyTorchのTensorもNumPyのデータを ...

This repository contains a Python script that demonstrates fundamental concepts in matrix operations, gradient computation, and optimization using the tinygrad library. The code showcases how to ...

Hi @ZHEGG 👋 I imagine you found within the discussions/issues the solution? If not, you're doing inference and CAM computation with torch.no_grad() as context. And SmoothGradCampp as its name implies ...

The energy density and the pressure of SU(3) gauge theory at finite temperature are studied by direct lattice measurements of the renormalized energy-momentum tensor obtained by the gradient flow.