Gerhard Neumann

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 207

Top Venues

Publications

Rebekka Charlotte Peter, Steffen Peikert, Ludwig Haide, Doan Xuan Viet Pham, Tahar Chettaoui, Eleonora Tagliabue, Paul Maria Scheikl, Johannes Fauser, Matthias Hillenbrand, Gerhard Neumann, Franziska Mathis-Ullrich
Lens Capsule Tearing in Cataract Surgery using Reinforcement Learning. ICRA (2024)
Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Philipp Becker, Aleksandar Taranovic, Onno Grönheim, Luise Kärger, Gerhard Neumann
Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations. CoRR (2024)
Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich
Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects. IEEE Robotics Autom. Lett. 9 (6) (2024)
Xiaogang Jia, Denis Blessing, Xinkai Jiang, Moritz Reuss, Atalay Donat, Rudolf Lioutikov, Gerhard Neumann
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations. CoRR (2024)
Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Nadia Figueroa, Gerhard Neumann, Leonel Rozo
Neural Contractive Dynamical Systems. CoRR (2024)
Xiaogang Jia, Denis Blessing, Xinkai Jiang, Moritz Reuss, Atalay Donat, Rudolf Lioutikov, Gerhard Neumann
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations. ICLR (2024)
Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning. CoRR (2024)
Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning. ICLR (2024)
Onur Celik, Aleksandar Taranovic, Gerhard Neumann
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts. CoRR (2024)
Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann
Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards. CoRR (2024)
Tobias Würth, Niklas Freymuth, Clemens Zimmerling, Gerhard Neumann, Luise Kärger
Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes. CoRR (2024)
Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling. CoRR (2024)
Claudius Kienle, Benjamin Alt, Onur Celik, Philipp Becker, Darko Katic, Rainer Jäkel, Gerhard Neumann
MuTT: A Multimodal Trajectory Transformer for Robot Skills. CoRR (2024)
Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Nadia Figueroa, Gerhard Neumann, Leonel Rozo
Neural Contractive Dynamical Systems. ICLR (2024)
Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
MaIL: Improving Imitation Learning with Mamba. CoRR (2024)
Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov
Variational Distillation of Diffusion Policies into Mixture of Experts. CoRR (2024)
Philipp Becker, Niklas Freymuth, Gerhard Neumann
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty. CoRR (2024)
Xinkai Jiang, Paul Mattes, Xiaogang Jia, Nicolas Schreiber, Gerhard Neumann, Rudolf Lioutikov
A Comprehensive User Study on Augmented Reality-Based Data Collection Interfaces for Robot Learning. HRI (2024)
Pit Henrich, Balázs Gyenes, Paul Maria Scheikl, Gerhard Neumann, Franziska Mathis-Ullrich
Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud. WACV (2024)
Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation. CoRR (2024)
Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann
Grounding Graph Network Simulators using Physical Sensor Observations. CoRR (2023)
Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger, Gerhard Neumann
Swarm Reinforcement Learning For Adaptive Mesh Refinement. CoRR (2023)
Philipp Blättner, Johannes Brand, Gerhard Neumann, Ngo Anh Vien
DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes. CoRR (2023)
Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Rozo
Reactive motion generation on learned Riemannian manifolds. Int. J. Robotics Res. 42 (10) (2023)
Vaisakh Shaj, Saleh Gholam Zadeh, Ozan Demir, Luiz R. Douat, Gerhard Neumann
Multi Time Scale World Models. NeurIPS (2023)
Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
SyMFM6D: Symmetry-Aware Multi-Directional Fusion for Multi-View 6D Object Pose Estimation. IEEE Robotics Autom. Lett. 8 (9) (2023)
Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich
Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects. CoRR (2023)
Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. CoRR (2023)
Jairo Inga, Miriam Ruess, Jan Heinrich Robens, Thomas Nelius, Simon Rothfuß, Sean Kille, Philipp Dahlinger, Andreas Lindenmann, Roland Thomaschke, Gerhard Neumann, Sven Matthiesen, Sören Hohmann, Andrea Kiesel
Human-machine symbiosis: A multivariate perspective for physically coupled human-machine systems. Int. J. Hum. Comput. Stud. 170 (2023)
Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
ProDMP: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. IEEE Robotics Autom. Lett. 8 (4) (2023)
Fabian Otto, Hongyi Zhou, Onur Celik, Ge Li, Rudolf Lioutikov, Gerhard Neumann
MP3: Movement Primitive-Based (Re-)Planning Policy. CoRR (2023)
Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann
Beyond Deep Ensembles - A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift. CoRR (2023)
Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann
Swarm Reinforcement Learning for Adaptive Mesh Refinement. NeurIPS (2023)
Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann
Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts. CoRR (2023)
Vaisakh Shaj, Saleh Gholam Zadeh, Ozan Demir, Luiz Ricardo Douat, Gerhard Neumann
Multi Time Scale World Models. CoRR (2023)
Philipp Becker, Sebastian Markgraf, Fabian Otto, Gerhard Neumann
Reinforcement Learning from Multiple Sensors via Joint Representations. CoRR (2023)
Benjamin Alt, Urs Keßner, Aleksandar Taranovic, Darko Katic, Andreas Hermann, Rainer Jäkel, Gerhard Neumann
Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming. CoRR (2023)
Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
Curriculum-Based Imitation of Versatile Skills. ICRA (2023)
Aleksandar Taranovic, Andras Gabor Kupcsik, Niklas Freymuth, Gerhard Neumann
Adversarial Imitation Learning with Preferences. ICLR (2023)
Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Li, Rudolf Lioutikov, Gerhard Neumann
Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills. NeurIPS (2023)
Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift. NeurIPS (2023)
Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. Trans. Mach. Learn. Res. 2023 (2023)
Ning Gao, Bernard Hohmann, Gerhard Neumann
Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization. BMVC (2023)
Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. CoRL (2023)
Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference. ICLR (2023)
Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann
Grounding Graph Network Simulators using Physical Sensor Observations. ICLR (2023)
Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
Curriculum-Based Imitation of Versatile Skills. CoRR (2023)
Pit Henrich, Balázs Gyenes, Paul Maria Scheikl, Gerhard Neumann, Franziska Mathis-Ullrich
Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud. CoRR (2023)
Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann
Latent Task-Specific Graph Network Simulators. CoRR (2023)
Paul Maria Scheikl, Balázs Gyenes, Rayan Younis, Christoph Haas, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich
LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery. CoRR (2023)
Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation. CoRR (2023)
Philipp Dahlinger, Philipp Becker, Maximilian Hüttenrauch, Gerhard Neumann
Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization. CoRR (2023)
Ning Gao, Bernard Hohmann, Gerhard Neumann
Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization. CoRR (2023)
Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. CoRR (2022)
Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayáhuitl
Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination. CoRR (2022)
Yumeng Li, Ning Gao, Hanna Ziesche, Gerhard Neumann
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes. CoRR (2022)
Hadi Beik Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo
Reactive Motion Generation on Learned Riemannian Manifolds. CoRR (2022)
Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayáhuitl
Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination. IROS (2022)
Niklas Freymuth, Nicolas Schreiber, Philipp Becker, Aleksander Taranovic, Gerhard Neumann
Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors. CoRR (2022)
Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann
What Matters For Meta-Learning Vision Regression Tasks? CoRR (2022)
Ruijie Chen, Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects. CoRR (2022)
Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
Deep Black-Box Reinforcement Learning with Movement Primitives. CoRL (2022)
Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
Deep Black-Box Reinforcement Learning with Movement Primitives. CoRR (2022)
Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann
Hierarchical Policy Learning for Mechanical Search. ICRA (2022)
Niklas Freymuth, Nicolas Schreiber, Aleksandar Taranovic, Philipp Becker, Gerhard Neumann
Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors. CoRL (2022)
Fabian Duffhauss, Tobias Demmler, Gerhard Neumann
MV6D: Multi-View 6D Pose Estimation on RGB-D Frames Using a Deep Point-wise Voting Network. IROS (2022)
Vaisakh Shaj, Dieter Buchler, Rohit Sonker, Philipp Becker, Gerhard Neumann
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. CoRR (2022)
Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. CoRR (2022)
Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann
What Matters For Meta-Learning Vision Regression Tasks? CVPR (2022)
Baris Serhan, Harit Pandya, Ayse Küçükyilmaz, Gerhard Neumann
Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning. ICRA (2022)
Philipp Becker, Gerhard Neumann
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022)
Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion. ECCV (39) (2022)
Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. CoRR (2022)
Fabian Duffhauss, Tobias Demmler, Gerhard Neumann
MV6D: Multi-View 6D Pose Estimation on RGB-D Frames Using a Deep Point-wise Voting Network. CoRR (2022)
Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. Robotics: Science and Systems (2022)
Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann
Hierarchical Policy Learning for Mechanical Search. CoRR (2022)
Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion. CoRR (2022)
Maximilian Hüttenrauch, Gerhard Neumann
Regret-Aware Black-Box Optimization with Natural Gradients, Trust-Regions and Entropy Control. CoRR (2022)
Philipp Becker, Gerhard Neumann
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning. CoRR (2022)
Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. ICLR (2022)
Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. CoRR (2021)
Paul Maria Scheikl, Balázs Gyenes, Tornike Davitashvili, Rayan Younis, André Schulze, Beat P. Müller-Stich, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich
Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning. IROS (2021)
Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. IROS (2021)
Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann
Specializing Versatile Skill Libraries using Local Mixture of Experts. CoRL (2021)
Juan Parras, Maximilian Hüttenrauch, Santiago Zazo, Gerhard Neumann
Deep Reinforcement Learning for Attacking Wireless Sensor Networks. Sensors 21 (12) (2021)
Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann
Specializing Versatile Skill Libraries using Local Mixture of Experts. CoRR (2021)
Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayáhuitl
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning. TAROS (2021)
Hadi Beik Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo
Learning Riemannian Manifolds for Geodesic Motion Skills. Robotics: Science and Systems (2021)
R. B. Ashith Shyam, Zhou Hao, Umberto Montanaro, Shilp Dixit, Arunkumar Rathinam, Yang Gao, Gerhard Neumann, Saber Fallah
Autonomous Robots for Space: Trajectory Learning and Adaptation Using Imitation. Frontiers Robotics AI 8 (2021)
Kim Tien Ly, Mithun Poozhiyil, Harit Pandya, Gerhard Neumann, Ayse Küçükyilmaz
Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation. RO-MAN (2021)
Jairo Inga, Miriam Ruess, Jan Heinrich Robens, Thomas Nelius, Sean Kille, Philipp Dahlinger, Roland Thomaschke, Gerhard Neumann, Sven Matthiesen, Sören Hohmann, Andrea Kiesel
Human-machine Symbiosis: A Multivariate Perspective for Physically Coupled Human-machine Systems. CoRR (2021)
Paul Maria Scheikl, Balázs Gyenes, Tornike Davitashvili, Rayan Younis, André Schulze, Beat P. Müller-Stich, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich
Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning. CoRR (2021)
Hadi Beik Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo
Learning Riemannian Manifolds for Geodesic Motion Skills. CoRR (2021)
Ngo Anh Vien, Gerhard Neumann
Differentiable Robust LQR Layers. CoRR (2021)
Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann
Differentiable Trust Region Layers for Deep Reinforcement Learning. ICLR (2021)
Michael Volpp, Fabian Flürenbrock, Lukas Großberger, Christian Daniel, Gerhard Neumann
Bayesian Context Aggregation for Neural Processes. ICLR (2021)
Giao Nguyen-Quynh, Philipp Becker, Chen Qiu, Maja Rudolph, Gerhard Neumann
Switching Recurrent Kalman Networks. CoRR (2021)
Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Ziesche, Gerhard Neumann
Differentiable Trust Region Layers for Deep Reinforcement Learning. CoRR (2021)
Riccardo Polvara, Francesco Del Duchetto, Gerhard Neumann, Marc Hanheide
Navigate-and-Seek: a Robotics Framework for People Localization in Agricultural Environments. CoRR (2021)
Niklas Freymuth, Philipp Becker, Gerhard Neumann
Versatile Inverse Reinforcement Learning via Cumulative Rewards. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gerhard Neumann