Abstract: Aiming at learning a probabilistic distribution over data, generative models have been actively studied with broad applications. This paper proposes a complex recurrent variational ...

Abstract: In this paper, we propose a novel Average autoencoder (AE)-based amplify-and-forward ... each decoding a soft probabilistic output that is averaged to obtain the final soft probabilistic ...

A Türkiye-backed cyberespionage group exploited a zero-day vulnerability to attack Output Messenger users linked to the Kurdish military in Iraq. Microsoft Threat Intelligence analysts who ...

Its output is constrained by a government cap of 45 million tons per year, a limit introduced in 2017 to curb overcapacity. "We are already running very close to that 45 million mark and globally ...

Simply sign up to the UK energy myFT Digest -- delivered directly to your inbox. Output in the UK’s energy-intensive industries has fallen by a third since 2021 to reach a 35-year low ...

The work I've done about the "Analysis of the latent space in the variational auto-encoder" to complete my Master's degree.

It measures how shifts in economic activity influence overall output, with the size of this impact referred to as the multiplier. The most basic multiplier used in gauging the multiplier effect is ...

2 In contrast, posterior probabilities provide an intuitive probabilistic output. They are calculated by combining prior knowledge with newly collected data to derive updated, posterior probabilities.