Gerhard Neumann
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
91
Venues
18
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
91 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Underdamped Diffusion Bridges with Applications to Sampling. | Denis Blessing, Julius Berner, Lorenz Richter, Gerhard Neumann |
| 2025 | ICLR | End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler. | Denis Blessing, Xiaogang Jia, Gerhard Neumann |
| 2025 | ICLR | Sequential Controlled Langevin Diffusions. | Junhua Chen, Lorenz Richter, Julius Berner, Denis Blessing, Gerhard Neumann, Anima Anandkumar |
| 2025 | ICLR | Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects. | Tai Hoang, Huy Le, Philipp Becker, Ngo Anh Vien, Gerhard Neumann |
| 2025 | ICLR | TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning. | Ge Li, Dong Tian, Hongyi Zhou, Xinkai Jiang, Rudolf Lioutikov, Gerhard Neumann |
| 2025 | ICLR | Efficient Off-Policy Learning for High-Dimensional Action Spaces. | Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann |
| 2025 | ICML | DIME: Diffusion-Based Maximum Entropy Reinforcement Learning. | Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann |
| 2024 | CoRL | PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds. | Balzs Gyenes, Nikolai Franke, Philipp Becker, Gerhard Neumann |
| 2024 | CoRL | MaIL: Improving Imitation Learning with Selective State Space Models. | Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann |
| 2024 | HRI | A Comprehensive User Study on Augmented Reality-Based Data Collection Interfaces for Robot Learning. | Xinkai Jiang, Paul Mattes, Xiaogang Jia, Nicolas Schreiber, Gerhard Neumann, Rudolf Lioutikov |
| 2024 | ICLR | Neural Contractive Dynamical Systems. | Hadi Beik-Mohammadi, Sren Hauberg, Georgios Arvanitidis, Nadia Figueroa, Gerhard Neumann, Leonel Rozo |
| 2024 | ICLR | Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations. | Xiaogang Jia, Denis Blessing, Xinkai Jiang, Moritz Reuss, Atalay Donat, Rudolf Lioutikov, Gerhard Neumann |
| 2024 | ICLR | Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning. | Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann |
| 2024 | ICML | Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling. | Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann |
| 2024 | ICML | Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts. | Onur Celik, Aleksandar Taranovic, Gerhard Neumann |
| 2024 | ICRA | Lens Capsule Tearing in Cataract Surgery using Reinforcement Learning. | 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 |
| 2024 | IROS | MuTT: A Multimodal Trajectory Transformer for Robot Skills. | Claudius Kienle, Benjamin Alt, Onur Celik, Philipp Becker, Darko Katic, Rainer Jkel, Gerhard Neumann |
| 2024 | WACV | Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud. | Pit Henrich, Balzs Gyenes, Paul Maria Scheikl, Gerhard Neumann, Franziska Mathis-Ullrich |
| 2023 | BMVC | Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization. | Ning Gao, Bernard Hohmann, Gerhard Neumann |
| 2023 | CoRL | SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. | Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann |
| 2023 | ICLR | Grounding Graph Network Simulators using Physical Sensor Observations. | Jonas Linkerhgner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann |
| 2023 | ICLR | Adversarial Imitation Learning with Preferences. | Aleksandar Taranovic, Andras Gabor Kupcsik, Niklas Freymuth, Gerhard Neumann |
| 2023 | ICLR | Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference. | Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann |
| 2023 | ICRA | Curriculum-Based Imitation of Versatile Skills. | Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann |
| 2022 | CoRL | Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors. | Niklas Freymuth, Nicolas Schreiber, Aleksandar Taranovic, Philipp Becker, Gerhard Neumann |
| 2022 | CoRL | Deep Black-Box Reinforcement Learning with Movement Primitives. | Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann |
| 2022 | CVPR | What Matters For Meta-Learning Vision Regression Tasks? | Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann |
| 2022 | ECCV | FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion. | Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann |
| 2022 | ICLR | Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. | Vaisakh Shaj, Dieter Bchler, Rohit Sonker, Philipp Becker, Gerhard Neumann |
| 2022 | IROS | MV6D: Multi-View 6D Pose Estimation on RGB-D Frames Using a Deep Point-wise Voting Network. | Fabian Duffhauss, Tobias Demmler, Gerhard Neumann |
| 2022 | IROS | Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination. | Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayhuitl |
| 2022 | ICRA | Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning. | Baris Serhan, Harit Pandya, Ayse Kkyilmaz, Gerhard Neumann |
| 2022 | ICRA | Hierarchical Policy Learning for Mechanical Search. | Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann |
| 2021 | CoRL | Specializing Versatile Skill Libraries using Local Mixture of Experts. | Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann |
| 2021 | GECCO | Coordinate ascent MORE with adaptive entropy control for population-based regret minimization. | Maximilian Httenrauch, Gerhard Neumann |
| 2021 | ICLR | Differentiable Trust Region Layers for Deep Reinforcement Learning. | Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann |
| 2021 | ICLR | Bayesian Context Aggregation for Neural Processes. | Michael Volpp, Fabian Flrenbrock, Lukas Groberger, Christian Daniel, Gerhard Neumann |
| 2021 | IROS | Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. | Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann |
| 2021 | IROS | Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning. | Paul Maria Scheikl, Balzs Gyenes, Tornike Davitashvili, Rayan Younis, Andr Schulze, Beat P. Mller-Stich, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich |
| 2021 | RO-MAN | Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation. | Kim Tien Ly, Mithun Poozhiyil, Harit Pandya, Gerhard Neumann, Ayse Kkyilmaz |
| 2020 | CoRL | Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning. | Vaisakh Shaj, Philipp Becker, Dieter Bchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann |
| 2020 | ICLR | Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. | Philipp Becker, Oleg Arenz, Gerhard Neumann |
| 2020 | ICRA | Enhancing Grasp Pose Computation in Gripper Workspace Spheres. | Mohamed Sorour, Khaled Elgeneidy, Marc Hanheide, M. Abdalmjed, A. Srinivasan, Gerhard Neumann |
| 2019 | ICML | Projections for Approximate Policy Iteration Algorithms. | Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann |
| 2019 | ICML | Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces. | Philipp Becker, Harit Pandya, Gregor H. W. Gebhardt, Cheng Zhao, C. James Taylor, Gerhard Neumann |
| 2019 | IROS | Improving Local Trajectory Optimisation using Probabilistic Movement Primitives. | R. B. Ashith Shyam, Peter Lightbody, Gautham P. Das, Pengcheng Liu, Sebastin Gmez-Gonzlez, Gerhard Neumann |
| 2019 | IROS | Grasping Unknown Objects Based on Gripper Workspace Spheres. | Mohamed Sorour, Khaled Elgeneidy, Aravinda Srinivasan, Marc Hanheide, Gerhard Neumann |
| 2018 | ICML | Efficient Gradient-Free Variational Inference using Policy Search. | Oleg Arenz, Mingjun Zhong, Gerhard Neumann |
| 2018 | ICRA | Learning Robust Policies for Object Manipulation with Robot Swarms. | Gregor H. W. Gebhardt, Kevin Daun, Marius Schnaubelt, Gerhard Neumann |
| 2018 | ICRA | Learning Coupled Forward-Inverse Models with Combined Prediction Errors. | Dorothea Koert, Guilherme Maeda, Gerhard Neumann, Jan Peters |
| 2018 | ICRA | Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences. | Robert Pinsler, Riad Akrour, Takayuki Osa, Jan Peters, Gerhard Neumann |
| 2018 | IROS | Regularizing Reinforcement Learning with State Abstraction. | Riad Akrour, Filipe Veiga, Jan Peters, Gerhard Neumann |
| 2018 | IROS | Contact Detection and Size Estimation Using a Modular Soft Gripper with Embedded Flex Sensors. | Khaled Elgeneidy, Gerhard Neumann, Simon Pearson, Michael R. Jackson, Niels Lohse |
| 2018 | IROS | Energy-Efficient Design and Control of a Vibro-Driven Robot. | Pengcheng Liu, Gerhard Neumann, Qinbing Fu, Simon Pearson, Hongnian Yu |
| 2017 | AAAI | Stochastic Search In Changing Situations. | Abbas Abdolmaleki, David Simes, Nuno Lau, Lus Paulo Reis, Bob Price, Gerhard Neumann |
| 2017 | AAAI | The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares. | Gregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann |
| 2017 | AAAI | Policy Search with High-Dimensional Context Variables. | Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama |
| 2017 | GECCO | Deriving and improving CMA-ES with information geometric trust regions. | Abbas Abdolmaleki, Bob Price, Nuno Lau, Lus Paulo Reis, Gerhard Neumann |
| 2017 | ICML | Local Bayesian Optimization of Motor Skills. | Riad Akrour, Dmitry Sorokin, Jan Peters, Gerhard Neumann |
| 2017 | IJCAI | Contextual Covariance Matrix Adaptation Evolutionary Strategies. | Abbas Abdolmaleki, Bob Price, Nuno Lau, Lus Paulo Reis, Gerhard Neumann |
| 2017 | ICRA | A learning-based shared control architecture for interactive task execution. | Firas Abi-Farraj, Takayuki Osa, Nicolo Pedemonte, Jan Peters, Gerhard Neumann, Paolo Robuffo Giordano |
| 2017 | ICRA | Layered direct policy search for learning hierarchical skills. | Felix End, Riad Akrour, Jan Peters, Gerhard Neumann |
| 2017 | ICRA | Empowered skills. | Alexander Gabriel, Riad Akrour, Jan Peters, Gerhard Neumann |
| 2017 | IROS | Hybrid control trajectory optimization under uncertainty. | Joni Pajarinen, Ville Kyrki, Michael C. Koval, Siddhartha S. Srinivasa, Jan Peters, Gerhard Neumann |
| 2016 | AAAI | Model-Free Preference-Based Reinforcement Learning. | Christian Wirth, Johannes Frnkranz, Gerhard Neumann |
| 2016 | GECCO | Model-Based Relative Entropy Stochastic Search. | Abbas Abdolmaleki, Rudolf Lioutikov, Nuno Lau, Lus Paulo Reis, Jan Peters, Gerhard Neumann |
| 2016 | GECCO | Contextual Stochastic Search. | Abbas Abdolmaleki, Nuno Lau, Lus Paulo Reis, Gerhard Neumann |
| 2016 | ICML | Model-Free Trajectory Optimization for Reinforcement Learning. | Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki |
| 2016 | ICRA | Movement primitives with multiple phase parameters. | Marco Ewerton, Guilherme Maeda, Gerhard Neumann, Viktor Kisner, Gerrit Kollegger, Josef Wiemeyer, Jan Peters |
| 2016 | ICRA | Learning soft task priorities for control of redundant robots. | Valerio Modugno, Gerhard Neumann, Elmar Rueckert, Giuseppe Oriolo, Jan Peters, Serena Ivaldi |
| 2016 | IROS | Non-parametric contextual stochastic search. | Abbas Abdolmaleki, Nuno Lau, Lus Paulo Reis, Gerhard Neumann |
| 2016 | IROS | Optimal control and inverse optimal control by distribution matching. | Oleg Arenz, Hany Abdulsamad, Gerhard Neumann |
| 2016 | RoboCup | Learning a Humanoid Kick with Controlled Distance. | Abbas Abdolmaleki, David Simes, Nuno Lau, Lus Paulo Reis, Gerhard Neumann |
| 2015 | AISTATS | Learning of Non-Parametric Control Policies with High-Dimensional State Features. | Herke van Hoof, Jan Peters, Gerhard Neumann |
| 2015 | ICRA | Extracting low-dimensional control variables for movement primitives. | Elmar Rueckert, Jan Mundo, Alexandros Paraschos, Jan Peters, Gerhard Neumann |
| 2015 | ICRA | Learning multiple collaborative tasks with a mixture of Interaction Primitives. | Marco Ewerton, Gerhard Neumann, Rudolf Lioutikov, Heni Ben Amor, Jan Peters, Guilherme Maeda |
| 2015 | ICRA | Towards learning hierarchical skills for multi-phase manipulation tasks. | Oliver Kroemer, Christian Daniel, Gerhard Neumann, Herke van Hoof, Jan Peters |
| 2015 | IROS | Learning motor skills from partially observed movements executed at different speeds. | Marco Ewerton, Guilherme Maeda, Jan Peters, Gerhard Neumann |
| 2015 | IROS | Model-free Probabilistic Movement Primitives for physical interaction. | Alexandros Paraschos, Elmar Rueckert, Jan Peters, Gerhard Neumann |
| 2015 | ISRR | A Probabilistic Framework for Semi-autonomous Robots Based on Interaction Primitives with Phase Estimation. | Guilherme Maeda, Gerhard Neumann, Marco Ewerton, Rudolf Lioutikov, Jan Peters |
| 2014 | ICRA | Interaction primitives for human-robot cooperation tasks. | Heni Ben Amor, Gerhard Neumann, Sanket Kamthe, Oliver Kroemer, Jan Peters |
| 2014 | ICRA | Learning to predict phases of manipulation tasks as hidden states. | Oliver Kroemer, Herke van Hoof, Gerhard Neumann, Jan Peters |
| 2014 | ICRA | Sample-based informationl-theoretic stochastic optimal control. | Rudolf Lioutikov, Alexandros Paraschos, Jan Peters, Gerhard Neumann |
| 2014 | IROS | Latent space policy search for robotics. | Kevin Sebastian Luck, Gerhard Neumann, Erik Berger, Jan Peters, Heni Ben Amor |
| 2013 | AAAI | Data-Efficient Generalization of Robot Skills with Contextual Policy Search. | Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Gerhard Neumann |
| 2013 | IJCNN | Autonomous reinforcement learning with hierarchical REPS. | Christian Daniel, Gerhard Neumann, Jan Peters |
| 2013 | ICRA | Learning sequential motor tasks. | Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters |
| 2012 | IROS | Generalization of human grasping for multi-fingered robot hands. | Heni Ben Amor, Oliver Kroemer, Ulrich Hillenbrand, Gerhard Neumann, Jan Peters |
| 2012 | IROS | Learning concurrent motor skills in versatile solution spaces. | Christian Daniel, Gerhard Neumann, Jan Peters |
| 2011 | ICML | Variational Inference for Policy Search in changing situations. | Gerhard Neumann |
| 2009 | ICML | Learning complex motions by sequencing simpler motion templates. | Gerhard Neumann, Wolfgang Maass, Jan Peters |