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ORCIDAlexej Klushyn
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2020 – today
- 2021
[b1]Alexej Klushyn:
Latent Matters: Amortised Variational Inference With Constrained Optimisation and Learnable Priors. Technical University of Munich, Germany, 2021- [c8]Alexej Klushyn, Richard Kurle, Maximilian Soelch, Botond Cseke, Patrick van der Smagt:
Latent Matters: Learning Deep State-Space Models. NeurIPS 2021: 10234-10245 - 2020
- [c7]Richard Kurle, Botond Cseke, Alexej Klushyn, Patrick van der Smagt
, Stephan Günnemann:
Continual Learning with Bayesian Neural Networks for Non-Stationary Data. ICLR 2020 - [c6]Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt:
Learning Flat Latent Manifolds with VAEs. ICML 2020: 1587-1596 - [i6]Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt:
Learning Flat Latent Manifolds with VAEs. CoRR abs/2002.04881 (2020)
2010 – 2019
- 2019
- [c5]Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt:
Fast Approximate Geodesics for Deep Generative Models. ICANN (2) 2019: 554-566 - [c4]Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt:
Increasing the Generalisaton Capacity of Conditional VAEs. ICANN (2) 2019: 779-791 - [c3]Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke, Patrick van der Smagt:
Learning Hierarchical Priors in VAEs. NeurIPS 2019: 2866-2875 - [i5]Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke, Patrick van der Smagt:
Learning Hierarchical Priors in VAEs. CoRR abs/1905.04982 (2019) - [i4]Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt:
Increasing the Generalisaton Capacity of Conditional VAEs. CoRR abs/1908.08750 (2019) - 2018
- [c2]Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt:
Metrics for Deep Generative Models. AISTATS 2018: 1540-1550 - [c1]Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt:
Active Learning based on Data Uncertainty and Model Sensitivity. IROS 2018: 1547-1554 - [i3]Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt:
Active Learning based on Data Uncertainty and Model Sensitivity. CoRR abs/1808.02026 (2018) - [i2]Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt:
Fast Approximate Geodesics for Deep Generative Models. CoRR abs/1812.08284 (2018) - 2017
- [i1]Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt:
Metrics for Deep Generative Models. CoRR abs/1711.01204 (2017)
Coauthor Index
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