Abstract: We introduce, for the first time in wireless communication networks, a quantum gradient descent (QGD) algorithm to maximize sum data rates in non-orthogonal multiple access (NOMA)-based ...

Abstract: We devise a novel quasi-Newton algorithm for solving unconstrained convex optimization problems. The proposed algorithm is built on our previous framework of the iteratively preconditioned ...

I'm not sure if it can be considered as a bug since I might be using the library differently from how it's supposed to be used. I have a PeftModel that need to be infered with 2 different inputs. For ...

Pipeline monitoring frequently encounters missing data, leading to incomplete evaluation and hindering a comprehensive assessment of the pipeline’s structural health. To address this issue, this study ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Missing this one pay date may be too much for Trump, ...

I found some issues when I use verl on MI210 cluster on the docker that is being provided. We use Apptainer to use the docker container torch_memory_saver 0.0.5 torchao 0.9.0 torchdata 0.11.0 ...