Forward Model Approximation is a recently developed method for learning how to play
unknown games. In this method game state transitions are analyzed with the target of predicting …

The chain walking (CW) polymerization technique has the unique property of a movable
catalyst synthesizing its own path by creating branch-on-branch structures. By successive …

Network latency is one of today’s biggest problems, various applications need end-to-end
latency values, which are not reachable by state of the art network infrastructures. 5G …

This paper presents the low latency improvements achieved by the key technologies in the
5G-PPP CHARISMA project. CHARISMA uses an hierarchically organizes RAN architecture …

Denoising diffusion models (DDMs) have emerged as a powerful class of generative models.
A forward diffusion process slowly perturbs the data, while a deep model learns to …

We present Stable Video Diffusion - a latent video diffusion model for high-resolution, state-of-the-art
text-to-video and image-to-video generation. Recently, latent diffusion models …

We present SDXL, a latent diffusion model for text-to-image synthesis. Compared to previous
versions of Stable Diffusion, SDXL leverages a three times larger UNet backbone: The …

… Alexander Dockhorn Game AI Research Group Queen Mary University London a.dockhorn…
Cowling, Philipp Rohlfshagen, Stephen Tavener, Diego Perez, Spyridon Samothrakis, and …

State Abstraction is a methodology that aims to simplify planning problems and enable
planners to deal with more complex environments. It is a useful tool that helps Artificial …

The sewage sludge production in Egypt is rapidly increasing resulting from the continuous
increase of population, urban planning and industrial developments. This sludge needs to be …