Abstract: Shortest-path optimization is severely hampered in real-world networked systems like communication, logistics, and transportation by node and edge parameter uncertainty. The Deep Neural ...
That, perhaps, is the only kind of political humor that is still safe: Gesturing toward a punchline while risking nothing, saying nothing. It’s not hard to notice that, much like the carriage-riding ...
Abstract: In this research, we propose a novel denoising diffusion model based on shortest-path modeling that optimizes residual propagation to enhance both denoising efficiency and quality. Drawing ...