Alexej Klushyn

Learning Flat Latent Manifolds with VAEs pdf

Justin Bayer, Patrick van der Smagt, Francesco Ferroni, 2020, ICML.

Learning Hierarchical Priors in VAEs

Patrick van der Smagt, Botond Cseke, Nutan Chen, 2019, NeurIPS.

Fast Approximate Geodesics for Deep Generative Models pdf

Justin Bayer, Patrick van der Smagt, Alexandros Paraschos, 2018, ICANN.

Continual Learning with Bayesian Neural Networks for Non-Stationary Data

Botond Cseke, Patrick van der Smagt, Stephan Günnemann, 2020, ICLR.

Increasing the Generalisaton Capacity of Conditional VAEs pdf

Botond Cseke, Justin Bayer, Patrick van der Smagt, 2019, ICANN.

Active Learning based on Data Uncertainty and Model Sensitivity

Patrick van der Smagt, Alexandros Paraschos, Nutan Chen, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Metrics for Deep Generative Models

Xueyan Jiang, Justin Bayer, Patrick van der Smagt, 2017, AISTATS.