Marcus Pappik
Marcus Pappik
Ph.D. student at the Algorithm Engineering Group of the Hasso Plattner Institute
Verified email at hpi.de
Title
Cited by
Cited by
Year
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
122019
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
42018
A spectral independence view on hardspheres via block dynamics
T Friedrich, A Göbel, MS Krejca, M Pappik
arXiv preprint arXiv:2102.07443, 2021
32021
Polymer Dynamics via Cliques: New Conditions for Approximations
T Friedrich, A Göbel, MS Krejca, M Pappik
arXiv preprint arXiv:2007.08293, 2020
32020
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
12017
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
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
2020
New Conditions via Markov Chains: Approximating Partition Functions of Abstract Polymer Models without Cluster Expansion
M Pappik
University of Potsdam, 2020
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
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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