Heiko Hoffmann

35 papers A* 8B 2C 1Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Object-Pose Estimation With Neural Population Codes. CoRR Heiko Hoffmann, Richard Hoffmann
2024	J	`jnl`	Advantages of Neural Population Coding for Deep Learning. CoRR Heiko Hoffmann
2024	J	`jnl`	Computational model of layer 2/3 in mouse primary visual cortex explains observed visuomotor mismatch response. J. Comput. Neurosci. Heiko Hoffmann
2022	—	`conf`	Few-Shot Image Classification Along Sparse Graphs. CVPR Workshops Joseph F. Comer, Philip L. Jacobson, Heiko Hoffmann
2021	J	`jnl`	Few-Shot Image Classification Along Sparse Graphs. CoRR Joseph F. Comer, Philip L. Jacobson, Heiko Hoffmann
2021	A*	`conf`	Pooling by Sliced-Wasserstein Embedding. NeurIPS Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann, Soheil Kolouri
2021	J	`jnl`	Set Representation Learning with Generalized Sliced-Wasserstein Embeddings. CoRR Navid Naderializadeh, Soheil Kolouri, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann
2021	A*	`conf`	Wasserstein Embedding for Graph Learning. ICLR Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
2020	J	`jnl`	On parameter identification problems for elliptic boundary value problems in divergence form, Part I: An abstract framework. CoRR Heiko Hoffmann, Anne Wald
2020	A*	`conf`	Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CVPR Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
2020	J	`jnl`	Wasserstein Embedding for Graph Learning. CoRR Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
2019	A*	`conf`	Explainability Methods for Graph Convolutional Neural Networks. CVPR Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
2019	J	`jnl`	Sparse Associative Memory. Neural Comput. Heiko Hoffmann
2019	J	`jnl`	Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CoRR Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
2018	J	`jnl`	Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. CoRR Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
2018	A*	`conf`	Sliced Wasserstein Distance for Learning Gaussian Mixture Models. CVPR Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
2017	—	`conf`	Explaining Distributed Neural Activations via Unsupervised Learning. CVPR Workshops Soheil Kolouri, Charles E. Martin, Heiko Hoffmann
2017	J	`jnl`	Sliced Wasserstein Distance for Learning Gaussian Mixture Models. CoRR Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
2014	J	`jnl`	Adaptive robotic tool use under variable grasps. Robotics Auton. Syst. Heiko Hoffmann, Zhichao Chen, Darren Earl, Derek Mitchell, Behnam Salemi, Jivko Sinapov
2014	B	`conf`	Fast re-learning of a controller from sparse data. SMC Charles E. Martin, Heiko Hoffmann
2013	J	`jnl`	Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors. Neural Comput. Auke Jan Ijspeert, Jun Nakanishi, Heiko Hoffmann, Peter Pastor, Stefan Schaal
2011	B	`conf`	Fast pattern matching with time-delay neural networks. IJCNN Heiko Hoffmann, Michael D. Howard, Michael J. Daily
2011	A*	`conf`	Toward Ultra High Speed Locomotors: Design and test of a cheetah robot hind limb. ICRA M. Anthony Lewis, Matthew R. Bunting, Behnam Salemi, Heiko Hoffmann
2009	A*	`conf`	Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance. ICRA Heiko Hoffmann, Peter Pastor, Dae-Hyung Park, Stefan Schaal
2009	A*	`conf`	Learning and generalization of motor skills by learning from demonstration. ICRA Peter Pastor, Heiko Hoffmann, Tamim Asfour, Stefan Schaal
2009	J	`jnl`	Local Dimensionality Reduction for Non-Parametric Regression. Neural Process. Lett. Heiko Hoffmann, Stefan Schaal, Sethu Vijayakumar
2008	—	`conf`	Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields. Humanoids Dae-Hyung Park, Heiko Hoffmann, Peter Pastor, Stefan Schaal
2008	—	`conf`	Software on Demand (SWoD) 2.0 - Bedarfsgerechte Software für die Zusammenarbeit in Business Communities. GeNeMe Gunter Teichmann, Heiko Hoffmann, Martin Engelien, Elke Eichenberg, Diana Ruth
2007	J	`jnl`	Kernel PCA for novelty detection. Pattern Recognit. Heiko Hoffmann
2007	J	`jnl`	Perception through visuomotor anticipation in a mobile robot. Neural Networks Heiko Hoffmann
2007	—	`conf`	Sensor-assisted adaptive motor control under continuously varying context. ICINCO-ICSO Heiko Hoffmann, Georgios Petkos, Sebastian Bitzer, Sethu Vijayakumar
2005	J	`jnl`	Learning visuomotor transformations for gaze-control and grasping. Biol. Cybern. Heiko Hoffmann, Wolfram Schenck, Ralf Möller
2005	—	`—`	Unsupervised learning of visuomotor associations. Heiko Hoffmann
2004	J	`jnl`	An extension of neural gas to local PCA. Neurocomputing Ralf Möller, Heiko Hoffmann
2003	C	`conf`	Unsupervised Learning of a Kinematic Arm Model. ICANN Heiko Hoffmann, Ralf Möller