Alexej Klushyn
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
5
Active years
2018–2020
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | ICLR | Continual Learning with Bayesian Neural Networks for Non-Stationary Data. | Richard Kurle, Botond Cseke, Alexej Klushyn, Patrick van der Smagt, Stephan Gnnemann |
| 2020 | ICML | Learning Flat Latent Manifolds with VAEs. | Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt |
| 2019 | ICANN | Fast Approximate Geodesics for Deep Generative Models. | Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt |
| 2019 | ICANN | Increasing the Generalisaton Capacity of Conditional VAEs. | Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt |
| 2018 | AISTATS | Metrics for Deep Generative Models. | Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt |
| 2018 | IROS | Active Learning based on Data Uncertainty and Model Sensitivity. | Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt |