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Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
Amortised inference enables scalable learning of sequential latent-varia...
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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...
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Approximate Bayesian inference in spatial environments
We propose to learn a stochastic recurrent model to solve the problem of...
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CNN-based Segmentation of Medical Imaging Data
Convolutional neural networks have been applied to a wide variety of com...
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Baris Kayalibay
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