Alexej Klushyn

Learning Flat Latent Manifolds with VAEs

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

FLAT MANIFOLD VAES

Patrick van der Smagt, Justin Bayer, Francesco Ferroni, 2019 .

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).

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.

Learning Hierarchical Priors in VAEs

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

Metrics for Deep Generative Models

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

Latent Matters: Learning Deep State-Space Models

Patrick van der Smagt, Maximilian Soelch, Botond Cseke, 2021, NeurIPS.