The concept of connectome gradients, which represents the continuous spatial variation of brain connectivity, offers a robust framework for exploring the hierarchical organization of the cortex and ...

Abstract: Recent research has increasingly utilized policy gradient methods, a class of reinforcement learning algorithms, to optimize continuous-variable diffusion models for downstream objectives, ...

Abstract: Linearized Graph Neural Networks (GNNs) have attracted great attention in recent years for graph representation learning. Compared with nonlinear Graph Neural Network (GNN) models, ...

In this advanced DeepSpeed tutorial, we provide a hands-on walkthrough of cutting-edge optimization techniques for training large language models efficiently. By combining ZeRO optimization, ...

This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs. Over the past 6 hours, it has been determined flaky in 3 workflow(s) with 3 failures ...

I'm compiling part of my model, and the logs instruct me to report an issue. self.decoder = torch.compile(self.decoder, backend='eager') I get these graph breaks ...

NEW YORK – The Park Slope Food Co-op is more than a discounted indie grocer – though, on any given day, there are about 10 varieties of locally grown mushrooms and shoppers can buy a dozen organic ...

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 ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...