Heiko Hoffmann

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Soheil KolouriComputer Science, Vanderbilt University, Nashville, TNVerified email at vanderbilt.edu
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
Peter PastorRoboticist, GoogleVerified email at google.com
David PaytonHRL Laboratories, LLCVerified email at paytons.com
Daehyung ParkAssociate Professor, KAISTVerified email at kaist.ac.kr
Mohammad RostamiUniversity of Southern CaliforniaVerified email at seas.upenn.edu
Phillip E. PopeUniversity of Maryland, College ParkVerified email at cs.umd.edu
Ralf MöllerProfessor of Computer Engineering, Faculty of Technology, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Auke IjspeertEPFL, Ecole Polytechnique Fédérale de Lausanne, SwitzerlandVerified email at epfl.ch
Hans-Jörg VogelProfessor of Soil Physics, Helmholtz Centre for Environmental Research - UFZVerified email at ufz.de
Tamim AsfourKarlsruhe Institute of Technology (KIT)Verified email at kit.edu
Navid NaderiAlizadehAssistant Research Professor of Biostatistics & Bioinformatics, Duke UniversityVerified email at duke.edu
Derek MitchellCarnegie Mellon UniversityVerified email at cmu.edu
Kyungnam KimHRL Laboratories, LLCVerified email at hrl.com
Evangelos TheodorouGeorgia Institute of Technology & Amazon SEASVerified email at ae.gatech.edu
Jason KutchAssociate Professor of Biokinesiology & Physical Therapy, University of Southern CaliforniaVerified email at usc.edu
Francisco Valero-CuevasProfessor, University of Southern CaliforniaVerified email at usc.edu
Manish KurseGoogle Inc.Verified email at google.com
Wolfram SchenckBielefeld University of Applied Sciences and Arts, Faculty of Engineering and MathematicsVerified email at hsbi.de
Jivko SinapovAssistant Professor, Tufts UniversityVerified email at cs.tufts.edu

Heiko Hoffmann

Magimine, LLC

Verified email at magimine.com - Homepage

Robotics Machine Learning Complex Systems Neuroscience


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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	1834	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	947	2009
Kernel PCA for novelty detection H Hoffmann Pattern Recognition 40 (3), 863-874, 2007	924	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	655	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	361	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	345	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	322	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	274	2020
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	183	2005
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	165	2018
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	156	2009
Wasserstein Embedding for Graph Learning S Kolouri, N Naderializadeh, GK Rohde, H Hoffmann International Conference on Learning Representations (ICLR), 2021	102	2021
Perception through visuomotor anticipation in a mobile robot H Hoffmann Neural Networks 20 (1), 22-33, 2007	96	2007
Optimization by Self-Organized Criticality H Hoffmann, DW Payton Scientific Reports 8 (1), 2358, 2018	70	2018
An extension of neural gas to local PCA R Möller, H Hoffmann Neurocomputing 62, 305-326, 2004	58	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	55	2011
Local dimensionality reduction for non-parametric regression H Hoffmann, S Schaal, S Vijayakumar Neural Processing Letters 29 (2), 109-131, 2009	53	2009
Learning visuomotor transformations for gaze-control and grasping H Hoffmann, W Schenck, R Möller Biological cybernetics 93 (2), 119-130, 2005	50	2005
Robotic visual perception system SE Chelian, RN Sundareswara, H Hoffmann US Patent 9,002,098, 2015	39	2015

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