| 2022 | CVPR | Few-Shot Image Classification Along Sparse Graphs. | Joseph F. Comer, Philip L. Jacobson, Heiko Hoffmann |
| 2021 | ICLR | Wasserstein Embedding for Graph Learning. | Soheil Kolouri, Navid NaderiAlizadeh, Gustavo K. Rohde, Heiko Hoffmann |
| 2020 | CVPR | Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. | Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann |
| 2019 | CVPR | Explainability Methods for Graph Convolutional Neural Networks. | Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann |
| 2018 | CVPR | Sliced Wasserstein Distance for Learning Gaussian Mixture Models. | Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann |
| 2017 | CVPR | Explaining Distributed Neural Activations via Unsupervised Learning. | Soheil Kolouri, Charles E. Martin, Heiko Hoffmann |
| 2014 | SMC | Fast re-learning of a controller from sparse data. | Charles E. Martin, Heiko Hoffmann |
| 2011 | IJCNN | Fast pattern matching with time-delay neural networks. | Heiko Hoffmann, Michael D. Howard, Michael J. Daily |
| 2011 | ICRA | Toward Ultra High Speed Locomotors: Design and test of a cheetah robot hind limb. | M. Anthony Lewis, Matthew R. Bunting, Behnam Salemi, Heiko Hoffmann |
| 2009 | ICRA | 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 | ICRA | Learning and generalization of motor skills by learning from demonstration. | Peter Pastor, Heiko Hoffmann, Tamim Asfour, Stefan Schaal |
| 2007 | ICINCO | Sensor-assisted adaptive motor control under continuously varying context. | Heiko Hoffmann, Georgios Petkos, Sebastian Bitzer, Sethu Vijayakumar |
| 2003 | ICANN | Unsupervised Learning of a Kinematic Arm Model. | Heiko Hoffmann, Ralf Mller |