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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
312019
A spectral independence view on hard spheres via block dynamics
T Friedrich, A Göbel, MS Krejca, M Pappik
SIAM Journal on Discrete Mathematics 36 (3), 2282-2322, 2022
142022
Polymer dynamics via cliques: New conditions for approximations
T Friedrich, A Göbel, MS Krejca, M Pappik
Theoretical Computer Science 942, 230-252, 2023
72023
Selection of relevant and non-redundant multivariate ordinal patterns for time series classification
AK Shekar, M Pappik, P Iglesias Sánchez, E Müller
Discovery Science: 21st International Conference, DS 2018, Limassol, Cyprus …, 2018
52018
Algorithms for hard-constraint point processes via discretization
T Friedrich, A Göbel, M Katzmann, MS Krejca, M Pappik
International Computing and Combinatorics Conference, 242-254, 2022
42022
Fixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem
S Baguley, T Friedrich, A Neumann, F Neumann, M Pappik, Z Zeif
Proceedings of the Genetic and Evolutionary Computation Conference, 1537-1545, 2023
12023
Perfect sampling for hard spheres from strong spatial mixing
K Anand, A Göbel, M Pappik, W Perkins
arXiv preprint arXiv:2305.02450, 2023
12023
Analysis of the survival time of the SIRS process via expansion
T Friedrich, A Göbel, N Klodt, MS Krejca, M Pappik
arXiv preprint arXiv:2205.02653, 2022
12022
Using random graphs to sample repulsive Gibbs point processes with arbitrary-range potentials
T Friedrich, A Göbel, M Katzmann, M Krejca, M Pappik
arXiv preprint arXiv:2204.01793, 2022
12022
Framework for exploring and understanding multivariate correlations
L Kirsch, N Riekenbrauck, D Thevessen, M Pappik, A Stebner, J Kunze, ...
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
12017
The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models
T Friedrich, A Göbel, N Klodt, MS Krejca, M Pappik
38th Annual AAAI Conference on Artificial Intelligence, 2024
2024
From Market Saturation to Social Reinforcement: Understanding the Impact of Non-Linearity in Information Diffusion Models
T Friedrich, A Göbel, N Klodt, MS Krejca, M Pappik
arXiv preprint arXiv:2401.10818, 2024
2024
Dagstuhl Reports, Vol. 12, Issue 11 ISSN 2192-5283
D Gurov, R Hähnle, M Huisman, G Reger, C Lidström, M Hoefer, S Oren, ...
2023
Counting and Sampling: Algorithms and Complexity (Dagstuhl Seminar 22482)
H Dell, MR Jerrum, H Müller, K Anand, M Pappik
Schloss-Dagstuhl-Leibniz Zentrum für Informatik, 2023
2023
Analysis of a gray-box operator for vertex cover
S Baguley, T Friedrich, T Kötzing, X Li, M Pappik, Z Zeif
Proceedings of the Genetic and Evolutionary Computation Conference, 1363-1371, 2022
2022
New Conditions via Markov Chains: Approximating Partition Functions of Abstract Polymer Models without Cluster Expansion
M Pappik
University of Potsdam, 2020
2020
Polymer dynamics via cliques with applications to hard-sphere mixtures.
T Friedrich, A Göbel, MS Krejca, M Pappik
CoRR, 2020
2020
Dynamical Thresholds for the Fixed-Magnetization Ising Model
A Kuchukova, M Pappik, W Perkins, C Yap
2024 Spring Western Sectional Meeting, 0
Polymer Dynamics Via Cliques: New Conditions for Approximations
M Pappik, T Friedrich, A Göbel, MS Krejca
Available at SSRN 4142187, 0
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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