Abstract: Owing to the rarity of fraud in non-life insurance sector, in this paper, we propose a Chaotic Variational autoencoder (C-VAE) to perform one class classification (OCC). Here, we employed ...

Abstract: This paper presents a novel auto-encoder based end-to-end channel encoding and decoding. It integrates deep reinforcement learning (DRL) and graph neural networks (GNN) in code design by ...

We’ve known for a long while that Mercedes is preparing a smaller version of the G-Class and we have seen it several times in pre-production guise, courtesy of our spy photographers who have snapped a ...

We train latent diffusion models, replacing the commonly-used U-Net backbone with a transformer that operates on latent patches. We analyze the scalability of our Diffusion Transformers (DiTs) through ...

I recently drove a brand-new Class-C motorhome from a boutique Italian brand with a fiberglass living quarters and a $200,000-plus price tag. It was one of the more interesting things that I’ve driven ...

Last summer, I lived in Athens, volunteering with a nongovernmental organization (NGO) that provides food to refugees and people experiencing homelessness. I stayed in Exarcheia, a neighborhood that ...