Dominik M. Endres

47 papers B 11C 2Misc 8Journal 17Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Reading Decisions from Gaze Direction during Graphics Turing Test of Gait Animation. CoRR Benjamin Knopp, Daniel Auras, Alexander C. Schütz, Dominik M. Endres
2025	B	`conf`	Staring Down the Elevator Shaft: Postural Responses to Virtual Heights in an Indoor Environment. CogSci Tahmineh A. Koosha, Alap Kshirsagar, Nick Augustat, Fabian Hahne, Dominik Mühl, Christiane A. Melzig, Frank Bremmer, Jan Peters, Dominik M. Endres
2024	J	`jnl`	A computational model for angular velocity integration in a locust heading circuit. PLoS Comput. Biol. Kathrin Pabst, Evripidis Gkanias, Barbara Webb, Uwe Homberg, Dominik M. Endres
2024	B	`conf`	Balancing on the Edge: Review and Computational Framework on the Dynamics of Fear of Falling and Fear of Heights in Postural Control. CogSci Ruslan Spartakov, Alap Kshirsagar, Dominik Mühl, Raphael Schween, Dominik M. Endres, Frank Bremmer, Christiane A. Melzig, Jan Peters
2023	B	`conf`	Active Inference and Psychology of Goals: A study in Substance and Process Metaphysics. CogSci Dhanaraaj Raghuveer, Dominik M. Endres
2023	B	`conf`	The Effect of Sense of Agency on Self-Efficacy Beliefs: A Virtual Reality Paradigm. SAP Ala Alsaleh, Moritz Schubert, Dominik M. Endres
2022	—	`conf`	Active Inference and Psychology of Expectations: A Study of Formalizing ViolEx. IWAI Dhanaraaj Raghuveer, Dominik M. Endres
2022	B	`conf`	Modeling aberrant volatility estimates in Autism Spectrum Disorder. CogSci Hauke Niehaus, Sanna Stroth, Inge Kamp-Becker, Dominik M. Endres
2022	J	`jnl`	Special issue on conceptual structures. Ann. Math. Artif. Intell. Mehwish Alam, Tanya Braun, Dominik M. Endres, Bruno Yun
2021	B	`conf`	A model of selection history in visual attention. CogSci Neda Meibodi, Hossein Abbasi, Anna Schubö, Dominik M. Endres
2021	J	`jnl`	More Plausible Models of Body Ownership Could Benefit Virtual Reality Applications. Comput. Moritz Schubert, Dominik M. Endres
2021	—	`conf`	The Bayesian Causal Inference of Body Ownership Model: Use in VR and Plausible Parameter Choices. VR Workshops Moritz Schubert, Dominik M. Endres
2020	B	`conf`	Evaluating Perceptual Predictions based on Movement Primitive Models in VR- and Online-Experiments. SAP Benjamin Knopp, Dmytro Velychko, Johannes Dreibrodt, Alexander C. Schütz, Dominik M. Endres
2019	B	`conf`	Emulating Human Developmental Stages with Bayesian Neural Networks. CogSci Marcel Binz, Dominik M. Endres
2019	J	`jnl`	Emulating Human Developmental Stages with Bayesian Neural Networks. CoRR Marcel Binz, Dominik M. Endres
2019	Misc	`ed.`	Graph-Based Representation and Reasoning - 24th International Conference on Conceptual Structures, ICCS 2019, Marburg, Germany, July 1-4, 2019, Proceedings ICCS Dominik M. Endres, Mehwish Alam, Diana Sotropa
2019	Misc	`conf`	Mathematical Similarity Models: Do We Need Incomparability to Be Precise? ICCS Anna Serr, Moritz Schubert, Dominik M. Endres
2019	J	`jnl`	Predicting Perceived Naturalness of Human Animations Based on Generative Movement Primitive Models. ACM Trans. Appl. Percept. Benjamin Knopp, Dmytro Velychko, Johannes Dreibrodt, Dominik M. Endres
2019	B	`conf`	Where Do Heuristics Come From? CogSci Marcel Binz, Dominik M. Endres
2019	J	`jnl`	Where Do Human Heuristics Come From? CoRR Marcel Binz, Dominik M. Endres
2018	Misc	`conf`	Empirically Evaluating the Similarity Model of Geist, Lengnink and Wille. ICCS Moritz Schubert, Dominik M. Endres
2018	Misc	`ed.`	Graph-Based Representation and Reasoning - 23rd International Conference on Conceptual Structures, ICCS 2018, Edinburgh, UK, June 20-22, 2018, Proceedings ICCS Peter Chapman, Dominik M. Endres, Nathalie Pernelle
2018	J	`jnl`	Making the Coupled Gaussian Process Dynamical Model Modular and Scalable with Variational Approximations. Entropy Dmytro Velychko, Benjamin Knopp, Dominik M. Endres
2017	J	`jnl`	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. Debora Clever, Monika Harant, Katja D. Mombaur, Maximilien Naveau, Olivier Stasse, Dominik M. Endres
2017	J	`jnl`	Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE. Frontiers Comput. Neurosci. Pietro Quaglio, Alper Yegenoglu, Emiliano Torre, Dominik M. Endres, Sonja Grün
2017	—	`ch.`	Modeling of Coordinated Human Body Motion by Learning of Structured Dynamic Representations. Geometric and Numerical Foundations of Movements Albert Mukovskiy, Nick Taubert, Dominik M. Endres, Christian Vassallo, Maximilien Naveau, Olivier Stasse, Philippe Souères, Martin A. Giese
2017	—	`conf`	The Variational Coupled Gaussian Process Dynamical Model. ICANN (1) Dmytro Velychko, Benjamin Knopp, Dominik M. Endres
2016	J	`jnl`	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. Debora Clever, Monika Harant, Kai Henning Koch, Katja D. Mombaur, Dominik M. Endres
2016	Misc	`conf`	Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains. ICCS Alper Yegenoglu, Pietro Quaglio, Emiliano Torre, Sonja Grün, Dominik M. Endres
2015	—	`conf`	Learning movement primitives from optimal and dynamically feasible trajectories for humanoid walking. Humanoids Kai Henning Koch, Debora Clever, Katja D. Mombaur, Dominik M. Endres
2014	—	`conf`	Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities. Dance Notations and Robot Motion Dominik M. Endres, Enrico Chiovetto, Martin A. Giese
2014	C	`conf`	Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels. ICANN Dmytro Velychko, Dominik M. Endres, Nick Taubert, Martin A. Giese
2013	B	`conf`	A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models. SAP Nick Taubert, Martin Löffler, Nicolas Ludolph, Andrea Christensen, Dominik M. Endres, Martin A. Giese
2013	J	`jnl`	Segmenting sign language into motor primitives with Bayesian binning. Frontiers Comput. Neurosci. Dominik M. Endres, Yaron Meirovitch, Tamar Flash, Martin A. Giese
2012	B	`conf`	Online simulation of emotional interactive behaviors with hierarchical Gaussian process dynamical models. SAP Nick Taubert, Andrea Christensen, Dominik M. Endres, Martin A. Giese
2012	C	`conf`	Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis. ICFCA Dominik M. Endres, Ruth Adam, Martin A. Giese, Uta Noppeney
2011	J	`jnl`	Emulating human observers with bayesian binning: Segmentation of action streams. ACM Trans. Appl. Percept. Dominik M. Endres, Andrea Christensen, Lars Omlor, Martin A. Giese
2011	Misc	`conf`	Gates for Handling Occlusion in Bayesian Models of Images: An Initial Study. KI Daniel Oberhoff, Dominik M. Endres, Martin A. Giese, Marina Kolesnik
2011	—	`conf`	Hooligan detection: The effects of saliency and expert knowledge. ICDP Dominik M. Endres, Heiko Neumann, Marina Kolesnik, Martin A. Giese
2011	Misc	`conf`	Segmentation of Action Streams Human Observers vs. Bayesian Binning. KI Dominik M. Endres, Andrea Christensen, Lars Omlor, Martin A. Giese
2011	Misc	`conf`	Shaking Hands in Latent Space - Modeling Emotional Interactions with Gaussian Process Latent Variable Models. KI Nick Taubert, Dominik M. Endres, Andrea Christensen, Martin A. Giese
2010	J	`jnl`	Feature extraction from spike trains with Bayesian binning: 'Latency is where the signal starts'. J. Comput. Neurosci. Dominik M. Endres, Mike W. Oram
2008	J	`jnl`	Exact Bayesian bin classification: a fast alternative to Bayesian classification and its application to neural response analysis. J. Comput. Neurosci. Dominik M. Endres, Peter Földiák
2008	—	`conf`	Interpreting the neural code with Formal Concept Analysis. NIPS Dominik M. Endres, Peter Földiák
2008	J	`jnl`	Sparse coding. Scholarpedia Peter Földiák, Dominik M. Endres
2007	—	`conf`	Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms. NIPS Dominik M. Endres, Mike W. Oram, Johannes E. Schindelin, Peter Földiák
2005	J	`jnl`	Bayesian bin distribution inference and mutual information. IEEE Trans. Inf. Theory Dominik M. Endres, Peter Földiák