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 ...

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 ...

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 ...

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.

Large Language Models have transformed Natural Language Processing by showcasing amazing skills like emergence and grokking and driving model size to increase continually. The bar for NLP research is ...