-
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
Amortised inference enables scalable learning of sequential latent-varia...
01/18/2021 ∙ by Justin Bayer, et al. ∙
0
∙
share
read it
-
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF
We solve the problem of 6-DoF localisation and 3D dense reconstruction i...
06/17/2020 ∙ by Atanas Mirchev, et al. ∙
8
∙
share
read it
-
Approximate Bayesian inference in spatial environments
We propose to learn a stochastic recurrent model to solve the problem of...
05/18/2018 ∙ by Atanas Mirchev, et al. ∙
0
∙
share
read it
-
CNN-based Segmentation of Medical Imaging Data
Convolutional neural networks have been applied to a wide variety of com...
01/11/2017 ∙ by Baris Kayalibay, et al. ∙
0
∙
share
read it
