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: 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 ...

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

The company has changed its logo for the first time in nearly a decade. The company has changed its logo for the first time in nearly a decade. is a news writer who covers the streaming wars, consumer ...

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 ...