Dominik Endres
Orcid: 0000-0001-9756-9655
According to our database1,
Dominik Endres
authored at least 40 papers
between 2003 and 2023.
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Bibliography
2023
Proceedings of the ACM Symposium on Applied Perception 2023, 2023
2022
Proceedings of the Active Inference - Third International Workshop, 2022
2021
Comput., 2021
The Bayesian Causal Inference of Body Ownership Model: Use in VR and Plausible Parameter Choices.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021
2020
Evaluating Perceptual Predictions based on Movement Primitive Models in VR- and Online-Experiments.
Proceedings of the SAP '20: ACM Symposium on Applied Perception 2020, 2020
2019
Predicting Perceived Naturalness of Human Animations Based on Generative Movement Primitive Models.
ACM Trans. Appl. Percept., 2019
Proceedings of the Graph-Based Representation and Reasoning, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
2018
Making the Coupled Gaussian Process Dynamical Model Modular and Scalable with Variational Approximations.
Entropy, 2018
Proceedings of the Graph-Based Representation and Reasoning, 2018
2017
Modeling of Coordinated Human Body Motion by Learning of Structured Dynamic Representations.
Proceedings of the Geometric and Numerical Foundations of Movements, 2017
COCoMoPL: A Novel Approach for Humanoid Walking Generation Combining Optimal Control, Movement Primitives and Learning and its Transfer to the Real Robot HRP-2.
IEEE Robotics Autom. Lett., 2017
Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE.
Frontiers Comput. Neurosci., 2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
2016
A novel approach for the generation of complex humanoid walking sequences based on a combination of optimal control and learning of movement primitives.
Robotics Auton. Syst., 2016
Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains.
Proceedings of the Graph-Based Representation and Reasoning, 2016
2015
Learning movement primitives from optimal and dynamically feasible trajectories for humanoid walking.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015
2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities.
Proceedings of the Dance Notations and Robot Motion, 2014
2013
Frontiers Comput. Neurosci., 2013
Frontiers Comput. Neurosci., 2013
A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models.
Proceedings of the ACM Symposium on Applied Perception 2013, 2013
2012
Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis.
Proceedings of the Formal Concept Analysis - 10th International Conference, 2012
Online simulation of emotional interactive behaviors with hierarchical Gaussian process dynamical models.
Proceedings of the ACM Symposium on Applied Perception 2012, 2012
2011
ACM Trans. Appl. Percept., 2011
Shaking Hands in Latent Space - Modeling Emotional Interactions with Gaussian Process Latent Variable Models.
Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011
Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011
Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011
Proceedings of the 4th International Conference on Imaging for Crime Detection and Prevention, 2011
2010
Feature extraction from spike trains with Bayesian binning: 'Latency is where the signal starts'.
J. Comput. Neurosci., 2010
2009
Ann. Math. Artif. Intell., 2009
2008
Exact Bayesian bin classification: a fast alternative to Bayesian classification and its application to neural response analysis.
J. Comput. Neurosci., 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2005
IEEE Trans. Inf. Theory, 2005
2003