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Gerhard Neumann

Karlsruhe Institute of Technology

Deep Black-Box Reinforcement Learning with Movement Primitives


Oct 18, 2022
Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann

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* Accepted at CoRL 2022 

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On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning


Oct 17, 2022
Philipp Becker, Gerhard Neumann

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* Published in TMLR, October 2022 

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Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors


Oct 17, 2022
Niklas Freymuth, Nicolas Schreiber, Philipp Becker, Aleksander Taranovic, Gerhard Neumann

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* Accepted as a poster at the 6th Conference on Robot Learning (CoRL), 2022 

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ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives


Oct 04, 2022
Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann

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* 12 pages, 13 figures 

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A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models


Sep 23, 2022
Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann

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FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion


Sep 22, 2022
Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann

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* Accepted at ECCV 2022 

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MV6D: Multi-View 6D Pose Estimation on RGB-D Frames Using a Deep Point-wise Voting Network


Aug 01, 2022
Fabian Duffhauss, Tobias Demmler, Gerhard Neumann

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* Accepted at IROS 2022 

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Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination


Jul 31, 2022
Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayahuitl

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Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios


Jun 29, 2022
Vaisakh Shaj, Dieter Buchler, Rohit Sonker, Philipp Becker, Gerhard Neumann

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* Published at the International Conference on Learning Representations, ICLR 2022 

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Category-Agnostic 6D Pose Estimation with Conditional Neural Processes


Jun 14, 2022
Yumeng Li, Ning Gao, Hanna Ziesche, Gerhard Neumann

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* Accepted at CVPR2022 workshop: Women in Computer Vision (WiCV) 

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