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

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

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

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

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

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

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

Few-Shot Image Classification Along Sparse Graphs. - Comer, Joseph F.; Jacobson, Philip L.; Hoffmann, Heiko (CoRR, 2021)

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

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

Wasserstein Embedding for Graph Learning. - Kolouri, Soheil; Naderializadeh, Navid; Rohde, Gustavo K.; Hoffmann, Heiko (CoRR, 2020)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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