A new metric for probability distributions. - Dominik Maria Endres; Johannes E. Schindelin (IEEE Trans. Inf. Theory, 2003)

Bayesian bin distribution inference and mutual information. - Dominik Endres; Peter Földiák (IEEE Trans. Inf. Theory, 2005)

Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms. - Dominik Endres; Mike W. Oram; Johannes E. Schindelin; Peter Földiák (NIPS, 2007)

Interpreting the neural code with Formal Concept Analysis. - Dominik Endres; Peter Földiák (NIPS, 2008)

Exact Bayesian bin classification: a fast alternative to Bayesian classification and its application to neural response analysis. - Dominik Endres; Peter Földiák (J. Comput. Neurosci., 2008)

Sparse coding. - Peter Földiák; Dominik Endres (Scholarpedia, 2008)

An application of formal concept analysis to semantic neural decoding. - Dominik Maria Endres; Peter Földiák; Uta Priss (Ann. Math. Artif. Intell., 2009)

Feature extraction from spike trains with Bayesian binning: 'Latency is where the signal starts'. - Dominik Endres; Mike W. Oram (J. Comput. Neurosci., 2010)

Hooligan detection: The effects of saliency and expert knowledge. - Dominik Endres; Heiko Neumann; Marina Kolesnik; Martin A. Giese (ICDP, 2011)

Segmentation of Action Streams Human Observers vs. Bayesian Binning. - Dominik Endres; Andrea Christensen; Lars Omlor; Martin A. Giese (KI, 2011)

Gates for Handling Occlusion in Bayesian Models of Images: An Initial Study. - Daniel Oberhoff; Dominik Endres; Martin A. Giese; Marina Kolesnik (KI, 2011)

Shaking Hands in Latent Space - Modeling Emotional Interactions with Gaussian Process Latent Variable Models. - Nick Taubert; Dominik Endres; Andrea Christensen; Martin A. Giese (KI, 2011)

Emulating human observers with bayesian binning: Segmentation of action streams. - Dominik Endres; Andrea Christensen; Lars Omlor; Martin A. Giese (ACM Trans. Appl. Percept., 2011)

Online simulation of emotional interactive behaviors with hierarchical Gaussian process dynamical models. - Nick Taubert; Andrea Christensen; Dominik Endres; Martin A. Giese (SAP, 2012)

Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis. - Dominik Endres; Ruth Adam; Martin A. Giese; Uta Noppeney (ICFCA, 2012)

A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models. - Nick Taubert; Martin Löffler; Nicolas Ludolph; Andrea Christensen; Dominik Endres; Martin A. Giese (SAP, 2013)

Model selection for the extraction of movement primitives. - Dominik Maria Endres; Enrico Chiovetto; Martin A. Giese (Frontiers Comput. Neurosci., 2013)

Segmenting sign language into motor primitives with Bayesian binning. - Dominik Endres; Yaron Meirovitch; Tamar Flash; Martin A. Giese (Frontiers Comput. Neurosci., 2013)

Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities. - Dominik Endres; Enrico Chiovetto; Martin A. Giese (Dance Notations and Robot Motion, 2014)

Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels. - Dmytro Velychko; Dominik Endres; Nick Taubert; Martin A. Giese (ICANN, 2014)

Learning movement primitives from optimal and dynamically feasible trajectories for humanoid walking. - Kai Henning Koch; Debora Clever; Katja D. Mombaur; Dominik Endres (Humanoids, 2015)

Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains. - Alper Yegenoglu; Pietro Quaglio; Emiliano Torre; Sonja Grün; Dominik Endres (ICCS, 2016)

A novel approach for the generation of complex humanoid walking sequences based on a combination of optimal control and learning of movement primitives. - Debora Clever; Monika Harant; Kai Henning Koch; Katja D. Mombaur; Dominik Endres (Robotics Auton. Syst., 2016)

The Variational Coupled Gaussian Process Dynamical Model. - Dmytro Velychko; Benjamin Knopp; Dominik Endres (ICANN (1), 2017)

Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE. - Pietro Quaglio; Alper Yegenoglu; Emiliano Torre; Dominik Endres; Sonja Grün (Frontiers Comput. Neurosci., 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. - Debora Clever; Monika Harant; Katja D. Mombaur; Maximilien Naveau; Olivier Stasse; Dominik Endres (IEEE Robotics Autom. Lett., 2017)

Modeling of Coordinated Human Body Motion by Learning of Structured Dynamic Representations. - Albert Mukovskiy; Nick Taubert; Dominik Endres; Christian Vassallo; Maximilien Naveau; Olivier Stasse; Philippe Souères; Martin A. Giese (Geometric and Numerical Foundations of Movements, 2017)

Empirically Evaluating the Similarity Model of Geist, Lengnink and Wille. - Moritz Schubert; Dominik Endres (ICCS, 2018)

Making the Coupled Gaussian Process Dynamical Model Modular and Scalable with Variational Approximations. - Dmytro Velychko; Benjamin Knopp; Dominik Endres (Entropy, 2018)

Where Do Heuristics Come From? - Marcel Binz; Dominik Endres (CogSci, 2019)

Emulating Human Developmental Stages with Bayesian Neural Networks. - Marcel Binz; Dominik Endres (CogSci, 2019)

Mathematical Similarity Models: Do We Need Incomparability to Be Precise? - Anna Serr; Moritz Schubert; Dominik Endres (ICCS, 2019)

Where Do Human Heuristics Come From? - Marcel Binz; Dominik Endres (CoRR, 2019)

Predicting Perceived Naturalness of Human Animations Based on Generative Movement Primitive Models. - Benjamin Knopp; Dmytro Velychko; Johannes Dreibrodt; Dominik Endres (ACM Trans. Appl. Percept., 2019)

Evaluating Perceptual Predictions based on Movement Primitive Models in VR- and Online-Experiments. - Benjamin Knopp; Dmytro Velychko; Johannes Dreibrodt; Alexander C. Schütz; Dominik Endres (SAP, 2020)

A model of selection history in visual attention. - Neda Meibodi; Hossein Abbasi; Anna Schubö; Dominik Endres (CogSci, 2021)

The Bayesian Causal Inference of Body Ownership Model: Use in VR and Plausible Parameter Choices. - Moritz Schubert; Dominik Endres (VR Workshops, 2021)

More Plausible Models of Body Ownership Could Benefit Virtual Reality Applications. - Moritz Schubert; Dominik Endres (Comput., 2021)

Modeling Reward Learning Under Placebo Expectancies: A Q-Learning Approach. - Nick Augustat; Li-Ching Chuang; Christian Panitz; Christopher Stolz; Erik M. Mueller; Dominik Maria Endres (CogSci, 2022)

Sensorimotor processes are not a source of much noise: Sensory-motor and decision components of reaction times. - Neda Meibodi; Anna Schubö; Dominik Maria Endres (CogSci, 2022)

A Model for Optic Flow Integration in Locust Central-Complex Neurons Tuned to Head Direction. - Kathrin Pabst; Frederick Zittrell; Uwe Homberg; Dominik Maria Endres (CogSci, 2022)

Formalization and Implementation of ViolEx: An Active Inference perspective. - Dhanaraaj Raghuveer; Dominik Maria Endres (CogSci, 2022)

Extending the Bayesian Causal Inference of Body Ownership Modell Across Time. - Moritz Schubert; Dominik Maria Endres (CogSci, 2022)

Active Inference and Psychology of Expectations: A Study of Formalizing ViolEx. - Dhanaraaj Raghuveer; Dominik Endres (IWAI, 2022)

Special issue on conceptual structures. - Mehwish Alam; Tanya Braun; Dominik Endres; Bruno Yun (Ann. Math. Artif. Intell., 2022)

The Effect of Sense of Agency on Self-Efficacy Beliefs: A Virtual Reality Paradigm. - Ala Alsaleh; Moritz Schubert; Dominik Endres (SAP, 2023)

A computational model for angular velocity integration in a locust heading circuit. - Kathrin Pabst; Evripidis Gkanias; Barbara Webb; Uwe Homberg; Dominik Endres (PLoS Comput. Biol., 2024)

Reading Decisions from Gaze Direction during Graphics Turing Test of Gait Animation. - Benjamin Knopp; Daniel Auras; Alexander C. Schütz; Dominik Endres (CoRR, 2025)