Nutan Chen
Nutan Chen
Machine Learning Research Lab, Volkswagen Group
Verified email at volkswagen.de
Title
Cited by
Cited by
Year
On fast dropout and its applicability to recurrent networks
J Bayer, C Osendorfer, D Korhammer, N Chen, S Urban, P van der Smagt
International Conference on Learning Representations, 2013
652013
Stable reinforcement learning with autoencoders for tactile and visual data
H Van Hoof, N Chen, M Karl, P van der Smagt, J Peters
2016 IEEE/RSJ international conference on intelligent robots and systems …, 2016
612016
Efficient movement representation by embedding dynamic movement primitives in deep autoencoders
N Chen, J Bayer, S Urban, P Van Der Smagt
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
352015
Dynamic movement primitives in latent space of time-dependent variational autoencoders
N Chen, M Karl, P van der Smagt
IEEE-RAS Humanoid Robots (Humanoids), 2016
292016
Metrics for deep generative models
N Chen, A Klushyn, R Kurle, X Jiang, J Bayer, P van der Smagt
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
242018
Estimating finger grip force from an image of the hand using convolutional neural networks and gaussian processes
N Chen, S Urban, C Osendorfer, J Bayer, P Van Der Smagt
2014 IEEE International Conference on Robotics and Automation (ICRA), 3137-3142, 2014
162014
Human-aided robotic grasping
N Chen, CM Chew, KP Tee, BS Han
2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human …, 2012
162012
Learning Hierarchical Priors in VAEs
A Klushyn, N Chen, R Kurle, B Cseke, P van der Smagt
Conference on Neural Information Processing Systems (NeurIPS), 2019
82019
Measuring fingertip forces from camera images for random finger poses
N Chen, S Urban, J Bayer, P Van Der Smagt
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
72015
Fast Approximate Geodesics for Deep Generative Models
N Chen, F Ferroni, A Klushyn, A Paraschos, J Bayer, P van der Smagt
International Conference on Artificial Neural Networks (ICANN), 2019
52019
Active Learning based on Data Uncertainty and Model Sensitivity
N Chen, A Klushyn, A Paraschos, D Benbouzid, P van der Smagt
IEEE/RSJ International Conference on Intelligent Robots and System, 2018
52018
System architecture for an interactive patrolling humanoid robot
AH Adiwahono, B Liu, N Chen, TW Chang, AD Tran, X Wu, BS Han
Proceedings of the Workshop at SIGGRAPH Asia, 119-123, 2012
42012
Intuitive interaction for robotic grasping
N Chen, KP Tee, CM Chew, R Yan
Proceedings of the Workshop at SIGGRAPH Asia, 105-111, 2012
32012
Early integration for movement modeling in latent spaces
R Hornung, N Chen, P van der Smagt
The Handbook of Multimodal-Multisensor Interfaces: Language Processing …, 2019
22019
Assistive grasping in teleoperation using infra-red proximity sensors
N Chen, KP Tee, CM Chew
2013 IEEE RO-MAN, 232-237, 2013
22013
Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images
N Chen, G Westling, BB Edin, P van der Smagt
Robotica, 2019
12019
Increasing the Generalisaton Capacity of Conditional VAEs
A Klushyn, N Chen, B Cseke, J Bayer, P van der Smagt
International Conference on Artificial Neural Networks (ICANN), 2019
12019
Efficient Movement Representation and Prediction with Machine Learning
N Chen
Technische Universität München, 2018
12018
Teleoperation grasp assistance using infra-red sensor array.
N Chen, KP Tee, CM Chew
Robotica 33 (4), 986-1002, 2015
12015
Learning Flat Latent Manifolds with VAEs
N Chen, A Klushyn, F Ferroni, J Bayer, P van der Smagt
International Conference on Machine Learning (ICML), 2020
2020
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