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

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

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

Few-Shot Image Classification Along Sparse Graphs - Joseph F. Comer; Philip L. Jacobson; Heiko Hoffmann (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022, 2022)

Wasserstein Embedding for Graph Learning - Soheil Kolouri; Navid Naderializadeh; Gustavo K. Rohde; Heiko Hoffmann (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021)

Pooling by Sliced-Wasserstein Embedding - Navid Naderializadeh; Joseph F. Comer; Reed W. Andrews; Heiko Hoffmann; Soheil Kolouri (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 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 (CoRR, 2021)

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs - Soheil Kolouri; Aniruddha Saha; Hamed Pirsiavash; Heiko Hoffmann (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 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 (CoRR, 2020)

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 (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs - Soheil Kolouri; Aniruddha Saha; Hamed Pirsiavash; Heiko Hoffmann (CoRR, 2019)

Sliced Wasserstein Distance for Learning Gaussian Mixture Models - Soheil Kolouri; Gustavo K. Rohde; Heiko Hoffmann (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

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

Explaining Distributed Neural Activations via Unsupervised Learning - Soheil Kolouri; Charles E. Martin; Heiko Hoffmann (2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2017, Honolulu, HI, USA, July 21-26, 2017, 2017)

Sliced Wasserstein Distance for Learning Gaussian Mixture Models - Soheil Kolouri; Gustavo K. Rohde; Heiko Hoffmann (CoRR, 2017)

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 (2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014, San Diego, CA, USA, October 5-8, 2014, 2014)

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

Toward Ultra High Speed Locomotors: Design and test of a cheetah robot hind limb - M. Anthony Lewis; Matthew R. Bunting; Behnam Salemi; Heiko Hoffmann (IEEE International Conference on Robotics and Automation, ICRA 2011, Shanghai, China, 9-13 May 2011, 2011)

Fast pattern matching with time-delay neural networks - Heiko Hoffmann; Michael D. Howard; Michael J. Daily (The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011, 2011)

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 (2009 IEEE International Conference on Robotics and Automation, ICRA 2009, Kobe, Japan, May 12-17, 2009, 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 (2009 IEEE International Conference on Robotics and Automation, ICRA 2009, Kobe, Japan, May 12-17, 2009, 2009)

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

Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields - Dae-Hyung Park; Heiko Hoffmann; Peter Pastor; Stefan Schaal (8th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2008, Daejeon, South Korea, December 1-3, 2008, 2008)

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

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

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

Unsupervised learning of visuomotor associations - Heiko Hoffmann (Bielefeld University, 2005)

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

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

Unsupervised Learning of a Kinematic Arm Model - Heiko Hoffmann; Ralf Möller (Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003, Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings, 2003)