Heiko Hoffmann

According to our database1, Heiko Hoffmann authored at least 26 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Set Representation Learning with Generalized Sliced-Wasserstein Embeddings.
CoRR, 2021

Wasserstein Embedding for Graph Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

On parameter identification problems for elliptic boundary value problems in divergence form, Part I: An abstract framework.
CoRR, 2020

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Sparse Associative Memory.
Neural Comput., 2019

Explainability Methods for Graph Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks.
CoRR, 2018

Sliced Wasserstein Distance for Learning Gaussian Mixture Models.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Explaining Distributed Neural Activations via Unsupervised Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Adaptive robotic tool use under variable grasps.
Robotics Auton. Syst., 2014

Fast re-learning of a controller from sparse data.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors.
Neural Comput., 2013

Fast pattern matching with time-delay neural networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Toward Ultra High Speed Locomotors: Design and test of a cheetah robot hind limb.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Local Dimensionality Reduction for Non-Parametric Regression.
Neural Process. Lett., 2009

Learning and generalization of motor skills by learning from demonstration.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields.
Proceedings of the 8th IEEE-RAS International Conference on Humanoid Robots, 2008

Software on Demand (SWoD) 2.0 - Bedarfsgerechte Software für die Zusammenarbeit in Business Communities.
Proceedings of the Gemeinschaften in Neuen Medien (GeNeMe) 2008, Dresden, 2008

Kernel PCA for novelty detection.
Pattern Recognit., 2007

Perception through visuomotor anticipation in a mobile robot.
Neural Networks, 2007

Sensor-assisted adaptive motor control under continuously varying context.
Proceedings of the ICINCO 2007, 2007

Unsupervised learning of visuomotor associations.
PhD thesis, 2005

Learning visuomotor transformations for gaze-control and grasping.
Biol. Cybern., 2005

An extension of neural gas to local PCA.
Neurocomputing, 2004

Unsupervised Learning of a Kinematic Arm Model.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003