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Gerhard Neumann

  1. Guided Deep Reinforcement Learning for Swarm Systems
    2017/09/18 by Maximilian Hüttenrauch, Hüttenrauch, Maximilian, Adrian Šošić +3 · 17 citations
    Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #Systems and Control (eess.SY) #electronic engineering #information engineering
  2. Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep\n Feature Spaces
    2019/01/01 by Philipp Becker, Harit Pandya, Becker, Philipp +10 · 17 citations
    Computer Science · Neuroscience · #Neural Networks and Applications #Gaussian Processes and Bayesian Inference #Functional Brain Connectivity Studies
  3. Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
    2024/06/11 by Denis Blessing, Xiaogang Jia, Blessing, Denis +7 · 21 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing
  4. Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
    2024/02/22 by Xiaogang Jia, Jia, Xiaogang, Denis Blessing +11 · 15 citations
    Computer Science · #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robotics (cs.RO)
  5. ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives
    2022/10/04 by Ge Li, Li, Ge, Zeqi Jin +9 · 8 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Human Motion and Animation #Human Pose and Action Recognition #Machine Learning (cs.LG) #Robotics (cs.RO)
  6. Sequential Controlled Langevin Diffusions
    2024/12/10 by Junhua Chen, Lorenz Richter, Chen, Junhua +9 · 20 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
  7. Agricultural Robotics: The Future of Robotic Agriculture
    2018/06/18 by Tom Duckett, Duckett, Tom, Simon Pearson +56 · 4 citations
    Agricultural and Biological Sciences · #FOS: Computer and information sciences #Robotics (cs.RO) #Smart Agriculture and AI
  8. Underdamped Diffusion Bridges with Applications to Sampling
    2025/03/02 by Denis Blessing, Julius Berner, Blessing, Denis +5 · 19 citations
    Engineering · #Structural Health Monitoring Techniques #Infrastructure Maintenance and Monitoring #Ultrasonics and Acoustic Wave Propagation
  9. LapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery
    2023/02/19 by Paul Maria Scheikl, Scheikl, Paul Maria, Balázs Gyenes +11 · 5 citations
    Medicine · #FOS: Computer and information sciences #Robotics (cs.RO) #Surgical Simulation and Training
  10. Swarm Reinforcement Learning For Adaptive Mesh Refinement
    2023/04/03 by Niklas Freymuth, Freymuth, Niklas, Philipp Dahlinger +8 · 6 citations
    Computer Science · Decision Sciences · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Manufacturing Process and Optimization #Model-Driven Software Engineering Techniques #Multiagent Systems (cs.MA) #Numerical Analysis (math.NA) #Simulation Techniques and Applications
  11. Differentiable Trust Region Layers for Deep Reinforcement Learning
    2021/01/22 by Fabian Otto, Otto, Fabian, Philipp Becker +7 · 5 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  12. DIME:Diffusion-Based Maximum Entropy Reinforcement Learning
    2025/02/04 by Onur Çelik, Celik, Onur, Zechu Li +12 · 13 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Reinforcement Learning in Robotics #Smart Grid Energy Management
  13. Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL
    2023/02/10 by Philipp Becker, Becker, Philipp, Mossburger, Sebastian +4 · 4 citations
    Computer Science · Neuroscience · Engineering · #Reinforcement Learning in Robotics #Neural dynamics and brain function #Robot Manipulation and Learning
  14. MV6D: Multi-View 6D Pose Estimation on RGB-D Frames Using a Deep Point-wise Voting Network
    2022/01/01 by Fabian Duffhauss, Tobias Demmler, Duffhauss, Fabian +3 · 3 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robot Manipulation and Learning #Robotics and Sensor-Based Localization
  15. Neural Contractive Dynamical Systems
    2024/01/17 by Hadi Beik-Mohammadi, Beik-Mohammadi, Hadi, Søren Hauberg +9 · 5 citations
    Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Control and Stability of Dynamical Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Robot Manipulation and Learning #Robotics (cs.RO)
  16. Grounding Graph Network Simulators using Physical Sensor Observations
    2023/02/23 by Jonas Linkerhägner, Linkerhägner, Jonas, Niklas Freymuth +7 · 5 citations
    Computer Science · #Data Visualization and Analytics #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Robotics (cs.RO)
  17. Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
    2024/03/11 by Onur Çelik, Aleksandar Taranović, Celik, Onur +3 · 5 citations
    Computer Science · #Online Learning and Analytics
  18. Model-Free Trajectory-based Policy Optimization with Monotonic Improvement
    2016/06/29 by Riad Akrour, Abbas Abdolmaleki, Akrour, Riad +7 · 2 citations
    Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Machine Learning and Algorithms
  19. Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty
    2021/06/08 by Alireza Ranjbar, Ranjbar, Alireza, Ngo Anh Vien +7 · 2 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Muscle activation and electromyography studies #Robot Manipulation and Learning
  20. MaIL: Improving Imitation Learning with Mamba
    2024/06/12 by Xiaogang Jia, Qian Wang, Jia, Xiaogang +17 · 4 citations
    Engineering · Neuroscience · Social Sciences · #Educational Tools and Methods #FOS: Computer and information sciences #Human Motion and Animation #Machine Learning (cs.LG) #Robotics (cs.RO) #Tactile and Sensory Interactions
  21. PointPatchRL -- Masked Reconstruction Improves Reinforcement Learning on Point Clouds
    2024/10/24 by Balázs Gyenes, Gyenes, Balázs, Nikolai Franke +5 · 4 citations
    Engineering · Environmental Science · Computer Science · #3D Shape Modeling and Analysis #Remote Sensing and LiDAR Applications #Image Processing and 3D Reconstruction
  22. Variational Distillation of Diffusion Policies into Mixture of Experts
    2024/06/18 by Hongyi Zhou, Zhou, Hongyi, Denis Blessing +11 · 3 citations
    Physics and Astronomy · Computer Science · Decision Sciences · #Opinion Dynamics and Social Influence #Expert finding and Q&A systems #Multi-Criteria Decision Making
  23. Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns
    2025/03/05 by Dong Tian, Tian, Dong, Onur Çelik +3 · 6 citations
    Economics, Econometrics and Finance · #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation
    2023/07/01 by Fabian Duffhauss, Duffhauss, Fabian, Sebastian Koch +7 · 2 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Object Detection Techniques #Machine Learning (cs.LG) #Robotics and Sensor-Based Localization
  25. Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
    2024/01/21 by Ge Li, Li, Ge, Hongyi Zhou +11 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  26. Towards Fine Grained Network Flow Prediction
    2018/08/20 by Patrick Jahnke, Jahnke, Patrick, Emmanuel Stapf +7 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Network Traffic and Congestion Control #Networking and Internet Architecture (cs.NI) #Traffic Prediction and Management Techniques
  27. Multi Time Scale World Models
    2023/10/27 by Vaisakh Shaj, Shaj, Vaisakh, Saleh Gholam Zadeh +7 · 2 citations
    Computer Science · Engineering · #Advanced Data Processing Techniques #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  28. Action-Conditional Recurrent Kalman Networks For Forward and Inverse\n Dynamics Learning
    2020/01/01 by Vaisakh Shaj, Philipp Becker, Shaj, Vaisakh +13 · 1 citation
    Computer Science · Engineering · Health Professions · #Anomaly Detection Techniques and Applications #Balance, Gait, and Falls Prevention #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Muscle activation and electromyography studies #Robot Manipulation and Learning #Robotics (cs.RO)
  29. Towards Fusing Point Cloud and Visual Representations for Imitation Learning
    2025/02/17 by Atalay Donat, Xiaogang Jia, Donat, Atalay +17 · 4 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Motion and Animation #Human Pose and Action Recognition #Robotics (cs.RO)
  30. On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning
    2022/10/17 by Philipp Becker, Becker, Philipp, Gerhard Neumann +1 · 1 citation
    Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  31. Human-machine Symbiosis: A Multivariate Perspective for Physically Coupled Human-machine Systems
    2021/11/29 by Jairo Inga, Inga, Jairo, Miriam Rueß +19 · 1 citation
    Computer Science · Psychology · #FOS: Computer and information sciences #Human-Automation Interaction and Safety #Human-Computer Interaction (cs.HC) #Mental Health Research Topics #Virtual Reality Applications and Impacts
  32. Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
    2025/02/10 by Tai Hoang, Huy Le, Hoang, Tai +7 · 5 citations
    Engineering · #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Manufacturing Process and Optimization #Robot Manipulation and Learning #Robotics (cs.RO)
  33. Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference
    2025/08/17 by Denis Blessing, Julius Berner, Blessing, Denis +11 · 8 citations
    Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
  34. Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
    2025/06/06 by Tobias Würth, Würth, Tobias, Niklas Freymuth +5 · 3 citations
    Physics and Astronomy · Materials Science · Engineering · #Model Reduction and Neural Networks #Machine Learning in Materials Science #Lattice Boltzmann Simulation Studies
  35. End-To-End Learning of Gaussian Mixture Priors for Diffusion Sampler
    2025/03/01 by Denis Blessing, Xiaogang Jia, Blessing, Denis +3 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  36. DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes
    2023/08/01 by Philipp Blättner, Blättner, Philipp, Johannes Brand +5 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Hand Gesture Recognition Systems #Muscle activation and electromyography studies #Robot Manipulation and Learning #Robotics (cs.RO)
  37. MP3: Movement Primitive-Based (Re-)Planning Policy
    2023/06/22 by Fabian Otto, Otto, Fabian, Hongyi Zhou +9 · 2 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotic Locomotion and Control #Robotics (cs.RO)
  38. KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty
    2024/06/21 by Philipp Becker, Becker, Philipp, Niklas Freymuth +3 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Smart Grid Security and Resilience #Software Reliability and Analysis Research
  39. Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations
    2024/06/20 by Niklas Freymuth, Freymuth, Niklas, Philipp Dahlinger +13 · 1 citation
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  40. Learning Boltzmann Generators via Constrained Mass Transport
    2025/10/21 by Christopher von Klitzing, von Klitzing, Christopher, Denis Blessing +7 · 1 citation
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Quantum many-body systems
  41. X-IL: Exploring the Design Space of Imitation Learning Policies
    2025/02/17 by Xiaogang Jia, Atalay Donat, Jia, Xiaogang +19 · 1 voice · 1 citation
    Psychology · Social Sciences · #Digital Games and Media #Educational Games and Gamification #Innovative Teaching and Learning Methods #cs.LG #cs.RO
  42. RayViT: Ray-Conditioned Visual Representations for Viewpoint-Robust Imitation Learning
    2026/07/31 by Qian Wang, Longrui Chen, Peiran Sun +8
    Computer Science · #cs.CV #cs.RO
  43. ATLAS: A Foundation Neural Sampler for Amorphous Materials
    2026/07/21 by Mouyang Cheng, Denis Blessing, Botao Yu +4
    #cond-mat.mtrl-sci #cs.LG #physics.comp-ph