In a paper published January 21 in Nature, a team led by scientists at the University of Wisconsin–Madison have run complex numerical simulations of plasma flows that, while leading to turbulence, ...

Abstract: In order to address unconstrained optimization problems, conjugate gradient methods are frequently employed. When considering the unconstrained optimization issue, the accelerated conjugate ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Abstract: Policy Gradient is a policy-based reinforcement learning algorithm that approximates the optimal policy through a parametric function. The algorithm classifies the observations by softmax ...

While methods exist for aligning flow matching models — a popular and effective class of generative models — with human preferences, existing approaches fail to achieve both adaptation efficiency and ...

I see the stop gradient method applied in the paper about pi05, but I did't find it when I look the codebase.

This repository contains a collection of MATLAB scripts that implement some of the classical optimization methods for constrained optimization models: Penalty and Barrier methods, linear and ...

The spatial positioning of magnetic resonance imaging (MRI) images is determined by generating a linearly varying gradient magnetic field through a gradient coil, which plays a pivotal role in the ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...