Dominik Endres

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 20

Top Topics

Gaussian Process

Dynamical Model

Top Venues

Publications

Ala Alsaleh, Moritz Schubert, Dominik Endres
The Effect of Sense of Agency on Self-Efficacy Beliefs: A Virtual Reality Paradigm. SAP (2023)
Dhanaraaj Raghuveer, Dominik Endres
Active Inference and Psychology of Expectations: A Study of Formalizing ViolEx. IWAI (2022)
Mehwish Alam, Tanya Braun, Dominik Endres, Bruno Yun
Special issue on conceptual structures. Ann. Math. Artif. Intell. 90 (11-12) (2022)
Moritz Schubert, Dominik Endres
More Plausible Models of Body Ownership Could Benefit Virtual Reality Applications. Comput. 10 (9) (2021)
Moritz Schubert, Dominik Endres
The Bayesian Causal Inference of Body Ownership Model: Use in VR and Plausible Parameter Choices. VR Workshops (2021)
Neda Meibodi, Hossein Abbasi, Anna Schubö, Dominik Endres
A model of selection history in visual attention. CogSci (2021)
Benjamin Knopp, Dmytro Velychko, Johannes Dreibrodt, Alexander C. Schütz, Dominik Endres
Evaluating Perceptual Predictions based on Movement Primitive Models in VR- and Online-Experiments. SAP (2020)
Marcel Binz, Dominik Endres
Emulating Human Developmental Stages with Bayesian Neural Networks. CoRR (2019)
Benjamin Knopp, Dmytro Velychko, Johannes Dreibrodt, Dominik Endres
Predicting Perceived Naturalness of Human Animations Based on Generative Movement Primitive Models. ACM Trans. Appl. Percept. 16 (3) (2019)
Anna Serr, Moritz Schubert, Dominik Endres
Mathematical Similarity Models: Do We Need Incomparability to Be Precise? ICCS (2019)
Marcel Binz, Dominik Endres
Where Do Human Heuristics Come From? CoRR (2019)
Marcel Binz, Dominik Endres
Where Do Heuristics Come From? CogSci (2019)
Marcel Binz, Dominik Endres
Emulating Human Developmental Stages with Bayesian Neural Networks. CogSci (2019)
Dmytro Velychko, Benjamin Knopp, Dominik Endres
Making the Coupled Gaussian Process Dynamical Model Modular and Scalable with Variational Approximations. Entropy 20 (10) (2018)
Moritz Schubert, Dominik Endres
Empirically Evaluating the Similarity Model of Geist, Lengnink and Wille. ICCS (2018)
Debora Clever, Monika Harant, Katja D. Mombaur, Maximilien Naveau, Olivier Stasse, Dominik Endres
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. 2 (2) (2017)
Pietro Quaglio, Alper Yegenoglu, Emiliano Torre, Dominik Endres, Sonja Grün
Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE. Frontiers Comput. Neurosci. 11 (2017)
Dmytro Velychko, Benjamin Knopp, Dominik Endres
The Variational Coupled Gaussian Process Dynamical Model. ICANN (1) (2017)
Debora Clever, Monika Harant, Kai Henning Koch, Katja D. Mombaur, Dominik Endres
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. 83 (2016)
Alper Yegenoglu, Pietro Quaglio, Emiliano Torre, Sonja Grün, Dominik Endres
Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains. ICCS (2016)
Kai Henning Koch, Debora Clever, Katja D. Mombaur, Dominik Endres
Learning movement primitives from optimal and dynamically feasible trajectories for humanoid walking. Humanoids (2015)
Dominik Endres, Enrico Chiovetto, Martin A. Giese
Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities. Dance Notations and Robot Motion (2014)
Dmytro Velychko, Dominik Endres, Nick Taubert, Martin A. Giese
Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels. ICANN (2014)
Dominik Endres, Yaron Meirovitch, Tamar Flash, Martin A. Giese
Segmenting sign language into motor primitives with Bayesian binning. Frontiers Comput. Neurosci. 7 (2013)
Nick Taubert, Martin Löffler, Nicolas Ludolph, Andrea Christensen, Dominik Endres, Martin A. Giese
A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models. SAP (2013)
Dominik Endres, Ruth Adam, Martin A. Giese, Uta Noppeney
Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis. ICFCA (2012)
Nick Taubert, Andrea Christensen, Dominik Endres, Martin A. Giese
Online simulation of emotional interactive behaviors with hierarchical Gaussian process dynamical models. SAP (2012)
Dominik Endres, Heiko Neumann, Marina Kolesnik, Martin A. Giese
Hooligan detection: The effects of saliency and expert knowledge. ICDP (2011)
Daniel Oberhoff, Dominik Endres, Martin A. Giese, Marina Kolesnik
Gates for Handling Occlusion in Bayesian Models of Images: An Initial Study. KI (2011)
Nick Taubert, Dominik Endres, Andrea Christensen, Martin A. Giese
Shaking Hands in Latent Space - Modeling Emotional Interactions with Gaussian Process Latent Variable Models. KI (2011)
Dominik Endres, Andrea Christensen, Lars Omlor, Martin A. Giese
Emulating human observers with bayesian binning: Segmentation of action streams. ACM Trans. Appl. Percept. 8 (3) (2011)
Dominik Endres, Andrea Christensen, Lars Omlor, Martin A. Giese
Segmentation of Action Streams Human Observers vs. Bayesian Binning. KI (2011)
Dominik Endres, Mike W. Oram
Feature extraction from spike trains with Bayesian binning: 'Latency is where the signal starts'. J. Comput. Neurosci. 29 (1-2) (2010)
Dominik Endres, Peter Földiák
Exact Bayesian bin classification: a fast alternative to Bayesian classification and its application to neural response analysis. J. Comput. Neurosci. 24 (1) (2008)
Peter Földiák, Dominik Endres
Sparse coding. Scholarpedia 3 (1) (2008)
Dominik Endres, Peter Földiák
Interpreting the neural code with Formal Concept Analysis. NIPS (2008)
Dominik Endres, Mike W. Oram, Johannes E. Schindelin, Peter Földiák
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms. NIPS (2007)
Dominik Endres, Peter Földiák
Bayesian bin distribution inference and mutual information. IEEE Trans. Inf. Theory 51 (11) (2005)