Unsupervised Learning of a Kinematic Arm Model. - Heiko Hoffmann; Ralf Möller 002 (ICANN, 2003)

An extension of neural gas to local PCA. - Ralf Möller 002; Heiko Hoffmann (Neurocomputing, 2004)

Learning visuomotor transformations for gaze-control and grasping. - Heiko Hoffmann; Wolfram Schenck; Ralf Möller 002 (Biol. Cybern., 2005)

Unsupervised learning of visuomotor associations. - Heiko Hoffmann (2005)

Sensor-assisted adaptive motor control under continuously varying context. - Heiko Hoffmann; Georgios Petkos; Sebastian Bitzer; Sethu Vijayakumar (ICINCO-ICSO, 2007)

Perception through visuomotor anticipation in a mobile robot. - Heiko Hoffmann (Neural Networks, 2007)

Kernel PCA for novelty detection. - Heiko Hoffmann (Pattern Recognit., 2007)

Software on Demand (SWoD) 2.0 - Bedarfsgerechte Software für die Zusammenarbeit in Business Communities. - Gunter Teichmann; Heiko Hoffmann; Martin Engelien; Elke Eichenberg; Diana Ruth (GeNeMe, 2008)

Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields. - Dae-Hyung Park; Heiko Hoffmann; Peter Pastor; Stefan Schaal (Humanoids, 2008)

Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance. - Heiko Hoffmann; Peter Pastor; Dae-Hyung Park; Stefan Schaal (ICRA, 2009)

Learning and generalization of motor skills by learning from demonstration. - Peter Pastor; Heiko Hoffmann; Tamim Asfour; Stefan Schaal (ICRA, 2009)

Local Dimensionality Reduction for Non-Parametric Regression. - Heiko Hoffmann; Stefan Schaal; Sethu Vijayakumar (Neural Process. Lett., 2009)

Toward Ultra High Speed Locomotors: Design and test of a cheetah robot hind limb. - M. Anthony Lewis; Matthew R. Bunting; Behnam Salemi; Heiko Hoffmann (ICRA, 2011)

Fast pattern matching with time-delay neural networks. - Heiko Hoffmann; Michael D. Howard; Michael J. Daily (IJCNN, 2011)

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors. - Auke Jan Ijspeert; Jun Nakanishi; Heiko Hoffmann; Peter Pastor; Stefan Schaal (Neural Comput., 2013)

Fast re-learning of a controller from sparse data. - Charles E. Martin; Heiko Hoffmann (SMC, 2014)

Adaptive robotic tool use under variable grasps. - Heiko Hoffmann; Zhichao Chen; Darren Earl; Derek Mitchell; Behnam Salemi; Jivko Sinapov (Robotics Auton. Syst., 2014)

Explaining Distributed Neural Activations via Unsupervised Learning. - Soheil Kolouri; Charles E. Martin; Heiko Hoffmann (CVPR Workshops, 2017)

Sliced Wasserstein Distance for Learning Gaussian Mixture Models. - Soheil Kolouri; Gustavo K. Rohde; Heiko Hoffmann (CVPR, 2018)

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. - Phillip E. Pope; Soheil Kolouri; Mohammad Rostami; Charles E. Martin; Heiko Hoffmann (CoRR, 2018)

Explainability Methods for Graph Convolutional Neural Networks. - Phillip E. Pope; Soheil Kolouri; Mohammad Rostami; Charles E. Martin; Heiko Hoffmann (CVPR, 2019)

Sparse Associative Memory. - Heiko Hoffmann (Neural Comput., 2019)

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. - Soheil Kolouri; Aniruddha Saha; Hamed Pirsiavash; Heiko Hoffmann (CVPR, 2020)

On parameter identification problems for elliptic boundary value problems in divergence form, Part I: An abstract framework. - Heiko Hoffmann; Anne Wald (CoRR, 2020)

Wasserstein Embedding for Graph Learning. - Soheil Kolouri; Navid Naderializadeh; Gustavo K. Rohde; Heiko Hoffmann (ICLR, 2021)

Pooling by Sliced-Wasserstein Embedding. - Navid Naderializadeh; Joseph F. Comer; Reed W. Andrews; Heiko Hoffmann; Soheil Kolouri (NeurIPS, 2021)

Set Representation Learning with Generalized Sliced-Wasserstein Embeddings. - Navid Naderializadeh; Soheil Kolouri; Joseph F. Comer; Reed W. Andrews; Heiko Hoffmann (CoRR, 2021)

Few-Shot Image Classification Along Sparse Graphs. - Joseph F. Comer; Philip L. Jacobson; Heiko Hoffmann (CVPR Workshops, 2022)

Advantages of Neural Population Coding for Deep Learning. - Heiko Hoffmann (CoRR, 2024)

Computational model of layer 2/3 in mouse primary visual cortex explains observed visuomotor mismatch response. - Heiko Hoffmann (J. Comput. Neurosci., 2024)

Object-Pose Estimation With Neural Population Codes. - Heiko Hoffmann; Richard Hoffmann (CoRR, 2025)