Heiko Hoffmann

发表

Perception through visuomotor anticipation in a mobile robot

Heiko Hoffmann, Heiko Hoffmann, 2007, Neural Networks.

Adaptive robotic tool use under variable grasps

Heiko Hoffmann, Jivko Sinapov, Behnam Salemi, 2014, Robotics Auton. Syst..

Local Dimensionality Reduction for Non-Parametric Regression

Stefan Schaal, Heiko Hoffmann, Sethu Vijayakumar, 2009, Neural Processing Letters.

Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields

Stefan Schaal, Heiko Hoffmann, Peter Pastor, 2008, Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots.

Sliced Wasserstein Distance for Learning Gaussian Mixture Models

Heiko Hoffmann, Gustavo K. Rohde, Soheil Kolouri, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

On parameter identification problems for elliptic boundary value problems in divergence form, Part I: An abstract framework pdf

Heiko Hoffmann, Anne Wald, 2020, ArXiv.

Unsupervised Learning of a Kinematic Arm Model

Heiko Hoffmann, Ralf Möller, 2003, ICANN.

A method of calibrating a movable gripping member using a remote digital camera

Heiko Hoffmann, Ryan M. Uhlenbrock, 2015 .

Suppressing cascades in a self-organized-critical model with non-contiguous spread of failures

Heiko Hoffmann, David W. Payton, Heiko Hoffmann, 2014 .

Impact of network topology on self-organized criticality.

Heiko Hoffmann, 2018, Physical review. E.

Robot system and method for robotic speed control

Heiko Hoffmann, David W. Payton, Derek Mitchell, 2014 .

Learning and generalization of motor skills by learning from demonstration

Stefan Schaal, Tamim Asfour, Heiko Hoffmann, 2009, 2009 IEEE International Conference on Robotics and Automation.

Toward Ultra High Speed Locomotors: Design and test of a cheetah robot hind limb

Heiko Hoffmann, Behnam Salemi, M. Anthony Lewis, 2011, 2011 IEEE International Conference on Robotics and Automation.

Dynamic mode decomposition for interconnected control systems

Heiko Hoffmann, Michael A. Warren, Byron Heersink, 2017, 1709.02883.

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks pdf

Mohammad Rostami, Heiko Hoffmann, Soheil Kolouri, 2018, ArXiv.

Software on Demand (SWoD) 2.0 - Bedarfsgerechte Software für die Zusammenarbeit in Business Communities

Diana Ruth, Heiko Hoffmann, Elke Eichenberg, 2008, GeNeMe.

Action selection and mental transformation based on a chain of forward models

Heiko Hoffmann, Ralf Möller, Heiko Hoffmann, 2004 .

Learning Internal Models for Eye-Hand Coordination in Reaching and Grasping

Wolfram Schenck, Heiko Hoffmann, Ralf Möller, 2019, Proceedings of EuroCogSci 03.

Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance

Stefan Schaal, Heiko Hoffmann, Peter Pastor, 2009, 2009 IEEE International Conference on Robotics and Automation.

Sparse Associative Memory

Heiko Hoffmann, Heiko Hoffmann, 2019, Neural Computation.

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs

Heiko Hoffmann, Soheil Kolouri, Hamed Pirsiavash, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Optimization by Self-Organized Criticality

Heiko Hoffmann, David W Payton, Heiko Hoffmann, 2018, Scientific Reports.

Explaining Distributed Neural Activations via Unsupervised Learning

Heiko Hoffmann, Soheil Kolouri, Charles E. Martin, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Unsupervised learning of visuomotor associations

Heiko Hoffmann, Heiko Hoffmann, 2005 .

Fast re-learning of a controller from sparse data

Heiko Hoffmann, Charles E. Martin, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Sensor-assisted adaptive motor control under continuously varying context

Heiko Hoffmann, Sethu Vijayakumar, Georgios Petkos, 2007, ICINCO-ICSO.

Wasserstein Embedding for Graph Learning pdf

Heiko Hoffmann, Navid Naderializadeh, Gustavo K. Rohde, 2020, ICLR.

An extension of neural gas to local PCA

Heiko Hoffmann, Ralf Möller, Heiko Hoffmann, 2004, Neurocomputing.

Learning visuomotor transformations for gaze-control and grasping

Wolfram Schenck, Heiko Hoffmann, Ralf Möller, 2005, Biological Cybernetics.

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors

Jun Nakanishi, Stefan Schaal, Heiko Hoffmann, 2013, Neural Computation.

Explainability Methods for Graph Convolutional Neural Networks

Heiko Hoffmann, Mohammad Rostami, Soheil Kolouri, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Kernel PCA for novelty detection

Heiko Hoffmann, H. Hoffmann, 2007, Pattern Recognit..

Target switching in curved human arm movements is predicted by changing a single control parameter

Heiko Hoffmann, 2010, Experimental Brain Research.

Fast pattern matching with time-delay neural networks

Heiko Hoffmann, Michael D. Howard, Michael J. Daily, 2011, The 2011 International Joint Conference on Neural Networks.

ICINCO 2007, Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics, Intelligent Control Systems and Optimization, Angers, France, May 9-12, 2007

Heiko Hoffmann, Sethu Vijayakumar, Sebastian Bitzer, 2007, ICINCO-ICSO.

Studies of crack dynamics in clay soil. I. Experimental methods, results and morphological quantification

Hans-Jörg Vogel, Heiko Hoffmann, Kurt Roth, 2005 .

Studies of crack dynamics in clay soil. II. A physically based model for crack formation

Hans-Jörg Vogel, Heiko Hoffmann, Kurt Roth, 2005 .