Hauptinhalt Zehn ausgewählte Publikationen
Binz, M., Gershman, S.J., Schulz, E., Endres D. (2022). Heuristics from Bounded Meta-Learned Inference . Psychological Review, advance online publication, DOI: 10.1037/rev0000330.
Junker, M., Endres, D., Sun, Z. P., Dicke, P. W., Giese, M., & Thier, P. (2018). Learning from the past: A reverberation of past errors in the cerebellar climbing fiber signal. PLoS biology, 16(8), e2004344 DOI:10.1371/journal.pbio.2004344
Clever, D., Harant, M., Mombaur, K., Naveau, M. , Stasse, O. & Endres, D. (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 and Automation Letters, 2(2):977–984. DOI: 10.1109/LRA.2017.2657000.
Clever, D. , Harant, M., Koch, K. H. , Mombaur, K. & Endres, D. (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 and Autonomous Systems, 83:1–13. DOI: 10.1016/j.robot.2016.06.001
Doolittle, E.L., Gingras, B., Endres, D. & Fitch, W.T.S. (2014). Overtone-based pitch selection in hermit thrush song: Unexpected convergence with scale construction in human music . PNAS, 111(46):16616–16621. DOI: 10.1073/pnas.1406023111.
Endres, D., Chiovetto, E. , & Giese, M.A. (2013). Model selection for the extraction of movement primitives. Frontiers in Computational Neuroscience, 7:185, 2013. DOI:10.3389/fncom.2013.00185.
Endres, D. & Földiák, P. (2005).Bayesian bin distribution inference and mutual information. IEEE Transactions on Information Theory, 51(11):3766–3779. DOI: 10.1109/TIT.2005.856954.
Endres, D. and Schindelin, J. (2003). A new metric for probability distributions . IEEE Transactions on Information Theory, 49(7):1858–1860, 2002. DOI: 10.1109/TIT.2003.813506.
Velychko, D., Endres, D., Taubert, N. & Giese, M.A. (2014). Coupling Gaussian process dynamical models with product-of-experts kernels. In Proceedings of the 24th International Conference on Artificial Neural Networks, LNCS 8681, pages 603–610. Springer. DOI: 10.1007/978-3-319-11179-7_76.
Endres, D. & Földiák, P. (2009). Interpreting the neural code with Formal Concept Analysis . In D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors, Advances in NIPS 21, pages 425–432. http://books.nips.cc/nips21.html.
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