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Jochen J. Steil: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Michael Götting, Jochen J. Steil, Heiko Wersing, Edgar Körner, Helge Ritter
    Adaptive scene-dependent filters in online learning environments. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:101-106 [Conf]
  2. Barbara Hammer, Jochen J. Steil
    Perspectives on learning with recurrent neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:357-368 [Conf]
  3. Robert Haschke, Jochen J. Steil
    Input Space Bifurcation Manifolds of RNNs. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:13-18 [Conf]
  4. Jochen J. Steil
    Neural dynamics for task-oriented grouping of communicating agents. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:531-536 [Conf]
  5. Jochen J. Steil
    Stability of backpropagation-decorrelation efficient O(N) recurrent learning. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:43-48 [Conf]
  6. Jochen J. Steil, Risto Koiva, Alessandro Sperduti
    Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:1-6 [Conf]
  7. Jochen J. Steil, Helge Ritter
    Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:370-374 [Conf]
  8. Jochen J. Steil, Heiko Wersing
    Recent trends in online learning for cognitive robots. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:77-87 [Conf]
  9. Ulf D. Schiller, Jochen J. Steil
    On the weight dynamics of recurrent learning. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:73-78 [Conf]
  10. Jochen J. Steil
    Local input-output stability of recurrent networks with time-varying weights. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:281-286 [Conf]
  11. Gernot A. Fink, Jannik Fritsch, Nadine Leßmann, Helge Ritter, Gerhard Sagerer, Jochen J. Steil, Ipke Wachsmuth
    Architekturen situierter Kommunikatoren: Von Perzeption über Kognition zum Lernen. [Citation Graph (0, 0)][DBLP]
    GI Jahrestagung (2), 2003, pp:29-44 [Conf]
  12. Robert Haschke, Jochen J. Steil, Helge Ritter
    Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using Inputs. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:1109-1114 [Conf]
  13. Jochen J. Steil
    Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:649-654 [Conf]
  14. Sebastian Weng, Jochen J. Steil
    Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:432-437 [Conf]
  15. Sebastian Weng, Jochen J. Steil
    Learning Compatibility Functions for Feature Binding and Perceptual Grouping. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:60-67 [Conf]
  16. Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen J. Steil, Helge Ritter, Edgar Körner
    A Biologically Motivated System for Unconstrained Online Learning of Visual Objects. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:508-517 [Conf]
  17. Heiko Wersing, Jochen J. Steil, Helge Ritter
    A Layered Recurrent Neural Network for Feature Grouping. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:439-444 [Conf]
  18. Dmitry V. Lebedev, Jochen J. Steil, Helge Ritter
    A neural network model that calculates dynamic distance transform for path planning and exploration in a changing environment. [Citation Graph (0, 0)][DBLP]
    ICRA, 2003, pp:4209-4214 [Conf]
  19. Jochen J. Steil
    Robust Control in Closed Loops Realized by Fast Signal Transmission of Infinite Gain Neurons. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:260-265 [Conf]
  20. Jochen J. Steil, Helge Ritter
    Input-Output Stability of Recurrent Neural Networks with Delays Using Circle Criteria. [Citation Graph (0, 0)][DBLP]
    NC, 1998, pp:519-525 [Conf]
  21. Helge Ritter, Jochen J. Steil, Claudia Nölker, Frank Röthling, Patrick C. McGuire
    Neural Architectures for Robot Intelligence [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  22. Robert Haschke, Jochen J. Steil
    Input space bifurcation manifolds of recurrent neural networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:25-38 [Journal]
  23. Ulf D. Schiller, Jochen J. Steil
    Analyzing the weight dynamics of recurrent learning algorithms. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:63, n:, pp:5-23 [Journal]
  24. Jochen J. Steil
    Local stability of recurrent networks with time-varying weights and inputs. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:39-51 [Journal]
  25. Jochen J. Steil
    Online stability of backpropagation-decorrelation recurrent learning. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:642-650 [Journal]
  26. Jochen J. Steil, Gavin C. Cawley, Fabrice Rossi
    New Issues in Neurocomputing. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:625-626 [Journal]
  27. Jochen J. Steil, Gavin C. Cawley, Thomas Villmann
    Trends in Neurocomputing at ESANN 2004. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:1-4 [Journal]
  28. Heiko Wersing, Jochen J. Steil, Helge Ritter
    A Competitive-Layer Model for Feature Binding and Sensory Segmentation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:2, pp:357-387 [Journal]
  29. Dmitry V. Lebedev, Jochen J. Steil, Helge Ritter
    The dynamic wave expansion neural network model for robot motion planning in time-varying environments. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:3, pp:267-285 [Journal]
  30. Jochen J. Steil, Frank Röthling, Robert Haschke, Helge Ritter
    Situated robot learning for multi-modal instruction and imitation of grasping. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2004, v:47, n:2-3, pp:129-141 [Journal]
  31. Jochen J. Steil, Michael Götting, Heiko Wersing, Edgar Körner, Helge Ritter
    Adaptive scene dependent filters for segmentation and online learning of visual objects. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1235-1246 [Journal]
  32. Jochen J. Steil
    Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:3, pp:353-364 [Journal]

  33. Intrinsic plasticity for reservoir learning algorithms. [Citation Graph (, )][DBLP]


  34. Several ways to solve the MSO problem. [Citation Graph (, )][DBLP]


  35. Robust object segmentation by adaptive metrics in Generalized LVQ. [Citation Graph (, )][DBLP]


  36. Task-level imitation learning using variance-based movement optimization. [Citation Graph (, )][DBLP]


  37. Learning Inverse Kinematics for Pose-Constraint Bi-manual Movements. [Citation Graph (, )][DBLP]


  38. Platform portable anthropomorphic grasping with the bielefeld 20-DOF shadow and 9-DOF TUM hand. [Citation Graph (, )][DBLP]


  39. Dynamic Path Planning for a 7-DOF Robot Arm. [Citation Graph (, )][DBLP]


  40. Automatic selection of task spaces for imitation learning. [Citation Graph (, )][DBLP]


  41. Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ. [Citation Graph (, )][DBLP]


  42. Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks [Citation Graph (, )][DBLP]


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