Abstract: We propose a learned probabilistic neural policy for safe, occlusion-free target tracking. The core novelty of our work stems from the structure of our policy network that combines ...

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 ...

This code aims at quantifying the uncertainty of mooring line fault detection predictions using a multivariate Gaussian mixture variational autoencoder. The scripts included in this code encompass ...

This paper presents a valuable software package, named "Virtual Brain Inference" (VBI), that enables faster and more efficient inference of parameters in dynamical system models of whole-brain ...

OPEC+ will now meet Saturday - instead of Monday, as previously planned - according to news reports OPEC+ shocked the market earlier this month with plans to ramp up crude output, leading oil ...

The OPEC+ alliance, led by Saudi Arabia and Russia, agreed at a meeting on Saturday (Sunday AEST) to raise output by 411,000 barrels per day from June, in a move designed to punish overproducing ...

We used the OncoSHARE database, which includes merged data from the California Cancer Registry and EMRs of 8,956 women diagnosed with breast cancer in 2000 to 2018. We curated a comprehensive ...

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.