Heiko Hoffmann

ORCID

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 15

Top Venues

Bielefeld University (PHD)

Education History

Bielefeld University

PHD

Publications

Joseph F. Comer, Philip L. Jacobson, Heiko Hoffmann
Few-Shot Image Classification Along Sparse Graphs. CVPR Workshops (2022)
Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann, Soheil Kolouri
Pooling by Sliced-Wasserstein Embedding. NeurIPS (2021)
Navid Naderializadeh, Soheil Kolouri, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings. CoRR (2021)
Joseph F. Comer, Philip L. Jacobson, Heiko Hoffmann
Few-Shot Image Classification Along Sparse Graphs. CoRR (2021)
Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
Wasserstein Embedding for Graph Learning. ICLR (2021)
Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CVPR (2020)
Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
Wasserstein Embedding for Graph Learning. CoRR (2020)
Heiko Hoffmann, Anne Wald
On parameter identification problems for elliptic boundary value problems in divergence form, Part I: An abstract framework. CoRR (2020)
Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CoRR (2019)
Heiko Hoffmann
Sparse Associative Memory. Neural Comput. 31 (5) (2019)
Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
Explainability Methods for Graph Convolutional Neural Networks. CVPR (2019)
Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
Sliced Wasserstein Distance for Learning Gaussian Mixture Models. CVPR (2018)
Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. CoRR (2018)
Soheil Kolouri, Charles E. Martin, Heiko Hoffmann
Explaining Distributed Neural Activations via Unsupervised Learning. CVPR Workshops (2017)
Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
Sliced Wasserstein Distance for Learning Gaussian Mixture Models. CoRR (2017)
Charles E. Martin, Heiko Hoffmann
Fast re-learning of a controller from sparse data. SMC (2014)
Heiko Hoffmann, Zhichao Chen, Darren Earl, Derek Mitchell, Behnam Salemi, Jivko Sinapov
Adaptive robotic tool use under variable grasps. Robotics Auton. Syst. 62 (6) (2014)
Auke Jan Ijspeert, Jun Nakanishi, Heiko Hoffmann, Peter Pastor, Stefan Schaal
Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors. Neural Comput. 25 (2) (2013)
Heiko Hoffmann, Michael D. Howard, Michael J. Daily
Fast pattern matching with time-delay neural networks. IJCNN (2011)
M. Anthony Lewis, Matthew R. Bunting, Behnam Salemi, Heiko Hoffmann
Toward Ultra High Speed Locomotors: Design and test of a cheetah robot hind limb. ICRA (2011)
Heiko Hoffmann, Stefan Schaal, Sethu Vijayakumar
Local Dimensionality Reduction for Non-Parametric Regression. Neural Process. Lett. 29 (2) (2009)
Heiko Hoffmann, Peter Pastor, Dae-Hyung Park, Stefan Schaal
Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance. ICRA (2009)
Peter Pastor, Heiko Hoffmann, Tamim Asfour, Stefan Schaal
Learning and generalization of motor skills by learning from demonstration. ICRA (2009)
Gunter Teichmann, Heiko Hoffmann, Martin Engelien, Elke Eichenberg, Diana Ruth
Software on Demand (SWoD) 2.0 - Bedarfsgerechte Software für die Zusammenarbeit in Business Communities. GeNeMe (2008)
Dae-Hyung Park, Heiko Hoffmann, Peter Pastor, Stefan Schaal
Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields. Humanoids (2008)
Heiko Hoffmann
Perception through visuomotor anticipation in a mobile robot. Neural Networks 20 (1) (2007)
Heiko Hoffmann, Georgios Petkos, Sebastian Bitzer, Sethu Vijayakumar
Sensor-assisted adaptive motor control under continuously varying context. ICINCO-ICSO (2007)
Heiko Hoffmann
Kernel PCA for novelty detection. Pattern Recognit. 40 (3) (2007)
Heiko Hoffmann, Wolfram Schenck, Ralf Möller
Learning visuomotor transformations for gaze-control and grasping. Biol. Cybern. 93 (2) (2005)
Ralf Möller, Heiko Hoffmann
An extension of neural gas to local PCA. Neurocomputing 62 (2004)
Heiko Hoffmann, Ralf Möller
Unsupervised Learning of a Kinematic Arm Model. ICANN (2003)

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Publication Activity (10 Years)

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Heiko Hoffmann