Follow
Nutan Chen
Nutan Chen
Volkswagen AG, Machine Learning Research Lab
Verified email at volkswagen.de
Title
Cited by
Cited by
Year
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
1482016
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
832013
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
802018
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
642019
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
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
58*2015
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
202019
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
182014
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
182012
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
152018
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
132020
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
92015
Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images
N Chen, G Westling, BB Edin, P van der Smagt
Robotica, 2019
82019
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
52012
Assistive grasping in teleoperation using infra-red proximity sensors
N Chen, KP Tee, CM Chew
2013 IEEE RO-MAN, 232-237, 2013
42013
Intuitive interaction for robotic grasping
N Chen, KP Tee, CM Chew, R Yan
Proceedings of the Workshop at SIGGRAPH Asia, 105-111, 2012
32012
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
22019
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
Efficient Movement Representation and Prediction with Machine Learning
N Chen
Technische Universität München, 2018
22018
Metrics for deep generative models based on learned skills
N Chen, A Klushyn, R Kurle, X Jiang, J Bayer, P van der Smagt
Advances in Neural Information Processing Systems (NIPS) Workshop on …, 2017
22017
The system can't perform the operation now. Try again later.
Articles 1–20