Takip et
Heiko Hoffmann
Heiko Hoffmann
Magimine, LLC
magimine.com üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
17962013
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
9382009
Kernel PCA for novelty detection
H Hoffmann
Pattern Recognition 40 (3), 863-874, 2007
9142007
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
6202019
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
3512009
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
3402008
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
3182005
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
2682020
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
1812005
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
1612018
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
1562009
Wasserstein Embedding for Graph Learning
S Kolouri, N Naderializadeh, GK Rohde, H Hoffmann
International Conference on Learning Representations (ICLR), 2021
992021
Perception through visuomotor anticipation in a mobile robot
H Hoffmann
Neural Networks 20 (1), 22-33, 2007
962007
Optimization by Self-Organized Criticality
H Hoffmann, DW Payton
Scientific Reports 8 (1), 2358, 2018
672018
An extension of neural gas to local PCA
R Möller, H Hoffmann
Neurocomputing 62, 305-326, 2004
572004
Action selection and mental transformation based on a chain of forward models
H Hoffmann, R Möller
From Animals to Animats 8, 213-222, 2004
572004
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
552011
Local dimensionality reduction for non-parametric regression
H Hoffmann, S Schaal, S Vijayakumar
Neural Processing Letters 29 (2), 109-131, 2009
522009
Learning visuomotor transformations for gaze-control and grasping
H Hoffmann, W Schenck, R Möller
Biological cybernetics 93 (2), 119-130, 2005
502005
Robotic visual perception system
SE Chelian, RN Sundareswara, H Hoffmann
US Patent 9,002,098, 2015
392015
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