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 ...

To address these challenges, we present the Multitask Adversarial Variational Autoencoder (M-AVAE), a bespoke deep learning framework designed to enhance brain age predictions through multimodal MRI ...

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.