Labor and human rights groups are intensifying calls for accountability and stronger protections after the Binaliw Sanitary ...

Introduction: We propose a statistical-mechanics–based framework for UV regularization in QED/QFT by introducing energy-dependent transition functions that interpolate fermionic and bosonic components ...

Find all of Teen Vogue's questions stories here. Personal questions to ask your girlfriend can look a lot of ways, something I was just reminded of while watching The Ultimatum: Queer Love Season 2 on ...

Recent advances in MRI reconstruction have demonstrated remarkable success through deep learning-based models. However, most existing methods rely heavily on large-scale, task-specific datasets, ...

Diffusion models have emerged as a crucial generative AI framework, excelling in tasks such as image synthesis, video generation, text-to-image translation, and molecular design. These models function ...

In Computed Tomography (CT), the beam hardening artifacts are caused by polychromatic X-ray beams applied in real medical imaging. In this article, we applied the recently proposed box-constrained ...

Abstract: Tomographic synthetic aperture radar (TomoSAR) shows great potential for high-quality 3-D mapping, especially in urban areas. As TomoSAR reconstruction methods advance into the deep learning ...

MAGMA is a novel regularization technique that enhances self-supervised representation learning within masked autoencoders (MAE). The core of our approach lies in applying a manifold-based loss term ...

Weight decay and ℓ2 regularization are crucial in machine learning, especially in limiting network capacity and reducing irrelevant weight components. These techniques align with Occam’s razor ...