The overview of the distillation framework of ArcFlow. Diffusion models have achieved remarkable generation quality, but they suffer from significant inference cost due to their reliance on multiple ...

Functional magnetic resonance imaging (fMRI) is now widely used in cognitive neuroscience to look for changes in neural activity that correlate with particular cognitive processes. But what does fMRI ...

Abstract: The goal of disentangled representation learning is to learn a low-dimensional representation of the data, where each dimension corresponds to a latent generative factor. The general ...

Have you ever tried mixing oil and water? That is the moment software architecture is entering as deterministic systems meet non deterministic AI behaviour. Architects must anchor intelligent systems ...

Abstract: Under the dual-carbon strategy and the increasing integration of distributed energy resources (DERs), conventional equivalent-load-based modeling methods for transmission and distribution (T ...