ML Anthology

Klushyn, Alexej

5 publications

NeurIPS 2021 Latent Matters: Learning Deep State-Space Models Alexej Klushyn, Richard Kurle, Maximilian Soelch, Botond Cseke, Patrick van der Smagt
ICLR 2020 Continual Learning with Bayesian Neural Networks for Non-Stationary Data Richard Kurle, Botond Cseke, Alexej Klushyn, Patrick van der Smagt, Stephan Günnemann
ICML 2020 Learning Flat Latent Manifolds with VAEs Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick Van Der Smagt
NeurIPS 2019 Learning Hierarchical Priors in VAEs Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke, Patrick van der Smagt
AISTATS 2018 Metrics for Deep Generative Models Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt