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Nutan Chen

Learning Flat Latent Manifolds with VAEs


Feb 12, 2020
Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt

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* 13 pages 
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Increasing the Generalisation Capacity of Conditional VAEs


Sep 10, 2019
Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt

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Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images


Sep 09, 2019
Nutan Chen, Göran Westling, Benoni B. Edin, Patrick van der Smagt

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* Robotica 
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Increasing the Generalisaton Capacity of Conditional VAEs


Aug 23, 2019
Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt

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Learning Hierarchical Priors in VAEs


May 23, 2019
Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke, Patrick van der Smagt

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Fast Approximate Geodesics for Deep Generative Models


Dec 19, 2018
Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt

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* 10 pages 
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Active Learning based on Data Uncertainty and Model Sensitivity


Aug 06, 2018
Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt

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* Published on 2018 IEEE/RSJ International Conference on Intelligent Robots and System 
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Metrics for Deep Generative Models


Feb 08, 2018
Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt

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* The 21st International Conference on Artificial Intelligence and Statistics, 2018 
 * Published on the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018 
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On Fast Dropout and its Applicability to Recurrent Networks


Mar 05, 2014
Justin Bayer, Christian Osendorfer, Daniela Korhammer, Nutan Chen, Sebastian Urban, Patrick van der Smagt

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* The experiments for the Penn Treebank corpus were erroneous and have been stripped from this version 
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