Heiko Hoffmann

According to our database, Heiko Hoffmann authored at least 30 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Computational model of layer 2/3 in mouse primary visual cortex explains observed visuomotor mismatch response.

Heiko Hoffmann

J. Comput. Neurosci., November, 2024

Advantages of Neural Population Coding for Deep Learning.

Heiko Hoffmann

CoRR, 2024

2022

Few-Shot Image Classification Along Sparse Graphs.

Joseph F. Comer, Philip L. Jacobson, Heiko Hoffmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Set Representation Learning with Generalized Sliced-Wasserstein Embeddings.

Navid Naderializadeh, Soheil Kolouri, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann

CoRR, 2021

Pooling by Sliced-Wasserstein Embedding.

Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann, Soheil Kolouri

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Wasserstein Embedding for Graph Learning.

Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

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

Heiko Hoffmann, Anne Wald

CoRR, 2020

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs.

Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Sparse Associative Memory.

Heiko Hoffmann

Neural Comput., 2019

Explainability Methods for Graph Convolutional Neural Networks.

Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks.

Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann

CoRR, 2018

Sliced Wasserstein Distance for Learning Gaussian Mixture Models.

Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Explaining Distributed Neural Activations via Unsupervised Learning.

Soheil Kolouri, Charles E. Martin, Heiko Hoffmann

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2014

Adaptive robotic tool use under variable grasps.

Heiko Hoffmann, Zhichao Chen, Darren Earl, Derek Mitchell, Behnam Salemi, Jivko Sinapov

Robotics Auton. Syst., 2014

Fast re-learning of a controller from sparse data.

Charles E. Martin, Heiko Hoffmann

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors.

Auke Jan Ijspeert, Jun Nakanishi, Heiko Hoffmann, Peter Pastor, Stefan Schaal

Neural Comput., 2013

2011

Fast pattern matching with time-delay neural networks.

Heiko Hoffmann, Michael D. Howard, Michael J. Daily

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.

M. Anthony Lewis, Matthew R. Bunting, Behnam Salemi, Heiko Hoffmann

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2009

Local Dimensionality Reduction for Non-Parametric Regression.

Heiko Hoffmann, Stefan Schaal, Sethu Vijayakumar

Neural Process. Lett., 2009

Learning and generalization of motor skills by learning from demonstration.

Peter Pastor, Heiko Hoffmann, Tamim Asfour, Stefan Schaal

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.

Heiko Hoffmann, Peter Pastor, Dae-Hyung Park, Stefan Schaal

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008

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

Dae-Hyung Park, Heiko Hoffmann, Peter Pastor, Stefan Schaal

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.

Gunter Teichmann, Heiko Hoffmann, Martin Engelien, Elke Eichenberg, Diana Ruth

Proceedings of the Gemeinschaften in Neuen Medien (GeNeMe) 2008, Dresden, 2008

2007

Kernel PCA for novelty detection.

Heiko Hoffmann

Pattern Recognit., 2007

Perception through visuomotor anticipation in a mobile robot.

Heiko Hoffmann

Neural Networks, 2007

Sensor-assisted adaptive motor control under continuously varying context.

Heiko Hoffmann, Georgios Petkos, Sebastian Bitzer, Sethu Vijayakumar

Proceedings of the ICINCO 2007, 2007

2005

Unsupervised learning of visuomotor associations.

Heiko Hoffmann

PhD thesis, 2005

Learning visuomotor transformations for gaze-control and grasping.

Heiko Hoffmann, Wolfram Schenck, Ralf Möller

Biol. Cybern., 2005

2004

An extension of neural gas to local PCA.

Ralf Möller, Heiko Hoffmann

Neurocomputing, 2004

2003

Unsupervised Learning of a Kinematic Arm Model.

Heiko Hoffmann, Ralf Möller

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003