| Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors AJ Ijspeert, J Nakanishi, H Hoffmann, P Pastor, S Schaal Neural Computation 25 (2), 328-373, 2013 | 2047 | 2013 |
| Learning and generalization of motor skills by learning from demonstration P Pastor, H Hoffmann, T Asfour, S Schaal 2009 IEEE International Conference on Robotics and Automation, 763-768, 2009 | 1014 | 2009 |
| Kernel PCA for novelty detection H Hoffmann Pattern Recognition 40 (3), 863-874, 2007 | 991 | 2007 |
| Explainability Methods for Graph Convolutional Neural Networks PE Pope, S Kolouri, M Rostami, CE Martin, H Hoffmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 847 | 2019 |
| Biologically-inspired dynamical systems for movement generation: automatic real-time goal adaptation and obstacle avoidance H Hoffmann, P Pastor, DH Park, S Schaal 2009 IEEE International Conference on Robotics and Automation, 2587-2592, 2009 | 390 | 2009 |
| Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields DH Park, H Hoffmann, P Pastor, S Schaal Humanoid Robots, 2008. Humanoids 2008. 8th IEEE-RAS International Conference …, 2008 | 378 | 2008 |
| Studies of crack dynamics in clay soil: I. Experimental methods, results, and morphological quantification HJ Vogel, H Hoffmann, K Roth Geoderma 125 (3-4), 203-211, 2005 | 332 | 2005 |
| Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs S Kolouri, A Saha, H Pirsiavash, H Hoffmann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 306 | 2020 |
| Sliced wasserstein distance for learning gaussian mixture models S Kolouri, GK Rohde, H Hoffmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 199 | 2018 |
| Studies of crack dynamics in clay soil: II. A physically based model for crack formation HJ Vogel, H Hoffmann, A Leopold, K Roth Geoderma 125 (3-4), 213-223, 2005 | 181 | 2005 |
| Computational models for neuromuscular function FJ Valero-Cuevas, H Hoffmann, MU Kurse, JJ Kutch, EA Theodorou IEEE reviews in biomedical engineering 2, 110-135, 2009 | 172 | 2009 |
| Wasserstein Embedding for Graph Learning S Kolouri, N Naderializadeh, GK Rohde, H Hoffmann International Conference on Learning Representations (ICLR), 2021 | 124 | 2021 |
| Perception through visuomotor anticipation in a mobile robot H Hoffmann Neural Networks 20 (1), 22-33, 2007 | 97 | 2007 |
| Optimization by Self-Organized Criticality H Hoffmann, DW Payton Scientific Reports 8 (1), 2358, 2018 | 79 | 2018 |
| An extension of neural gas to local PCA R Möller, H Hoffmann Neurocomputing 62, 305-326, 2004 | 60 | 2004 |
| Action selection and mental transformation based on a chain of forward models H Hoffmann, R Möller From Animals to Animats 8, 213-222, 2004 | 57 | 2004 |
| Toward ultra high speed locomotors: Design and test of a cheetah robot hind limb MA Lewis, MR Bunting, B Salemi, H Hoffmann 2011 IEEE International Conference on Robotics and Automation, 1990-1996, 2011 | 56 | 2011 |
| Local dimensionality reduction for non-parametric regression H Hoffmann, S Schaal, S Vijayakumar Neural Processing Letters 29 (2), 109-131, 2009 | 54 | 2009 |
| Learning visuomotor transformations for gaze-control and grasping H Hoffmann, W Schenck, R Möller Biological cybernetics 93 (2), 119-130, 2005 | 50 | 2005 |
| Adaptive robotic tool use under variable grasps H Hoffmann, Z Chen, D Earl, D Mitchell, B Salemi, J Sinapov Robotics and Autonomous Systems 62 (6), 833-846, 2014 | 44 | 2014 |
Soheil KolouriComputer Science, Vanderbilt University, Nashville, TNVerified email at vanderbilt.edu
