Marcus Pappik
Marcus Pappik
Ph.D. student at the Algorithm Engineering Group of the Hasso Plattner Institute
Verified email at
Cited by
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Convergence and hardness of strategic Schelling segregation
H Echzell, T Friedrich, P Lenzner, L Molitor, M Pappik, F Schöne, ...
International Conference on Web and Internet Economics, 156-170, 2019
Selection of relevant and non-redundant multivariate ordinal patterns for time series classification
AK Shekar, M Pappik, PI Sánchez, E Müller
International Conference on Discovery Science, 224-240, 2018
A spectral independence view on hardspheres via block dynamics
T Friedrich, A Göbel, MS Krejca, M Pappik
arXiv preprint arXiv:2102.07443, 2021
Polymer Dynamics via Cliques: New Conditions for Approximations
T Friedrich, A Göbel, MS Krejca, M Pappik
arXiv preprint arXiv:2007.08293, 2020
Framework for exploring and understanding multivariate correlations
L Kirsch, N Riekenbrauck, D Thevessen, M Pappik, A Stebner, J Kunze, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
Algorithms for general hard-constraint point processes via discretization
T Friedrich, A Göbel, M Katzmann, MS Krejca, M Pappik
arXiv preprint arXiv:2107.08848, 2021
Polymer dynamics via cliques with applications to hard-sphere mixtures
T Friedrich, A Göbel, MS Krejca, M Pappik
arXiv e-prints, arXiv: 2007.08293, 2020
New Conditions via Markov Chains: Approximating Partition Functions of Abstract Polymer Models without Cluster Expansion
M Pappik
University of Potsdam, 2020
Convergence and Hardness of Strategic Schelling Segregation
M Pappik, F Schöne, F Sommer, D Stangl
Web and Internet Economics: 15th International Conference, WINE 2019, New …, 2019
Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification-Supplementary Material
AK Shekar, M Pappik, PI Sanchez, E Mueller
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