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Marcus Pappik
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2020 – today
- 2024
- [c11]Tobias Friedrich, Andreas Göbel, Nicolas Klodt, Martin S. Krejca, Marcus Pappik:
The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models. AAAI 2024: 17389-17397 - [c10]Aiya Kuchukova, Marcus Pappik, Will Perkins, Corrine Yap:
Fast and Slow Mixing of the Kawasaki Dynamics on Bounded-Degree Graphs. APPROX/RANDOM 2024: 56:1-56:24 - [c9]Tobias Friedrich, Andreas Göbel, Nicolas Klodt, Martin S. Krejca, Marcus Pappik:
From Market Saturation to Social Reinforcement: Understanding the Impact of Non-Linearity in Information Diffusion Models. AAMAS 2024: 614-622 - [i8]Aiya Kuchukova, Marcus Pappik, Will Perkins, Corrine Yap
:
Fast and Slow Mixing of the Kawasaki Dynamics on Bounded-Degree Graphs. CoRR abs/2405.06209 (2024) - [i7]Andreas Göbel, Marcus Pappik:
Lazy brute-force sampling: A universal perfect sampling scheme from Markov chains. CoRR abs/2410.00882 (2024) - 2023
- [j2]Tobias Friedrich, Andreas Göbel, Martin S. Krejca, Marcus Pappik
Polymer dynamics via cliques: New conditions for approximations. Theor. Comput. Sci. 942: 230-252 (2023) - [c8]Konrad Anand, Andreas Göbel, Marcus Pappik, Will Perkins:
Perfect Sampling for Hard Spheres from Strong Spatial Mixing. APPROX/RANDOM 2023: 38:1-38:18 - [c7]Samuel Baguley
Fixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem. GECCO 2023: 1537-1545 - [i6]Konrad Anand, Andreas Göbel, Marcus Pappik, Will Perkins:
Perfect Sampling for Hard Spheres from Strong Spatial Mixing. CoRR abs/2305.02450 (2023) - 2022
- [j1]Tobias Friedrich, Andreas Göbel
A Spectral Independence View on Hard Spheres via Block Dynamics. SIAM J. Discret. Math. 36(3): 2282-2322 (2022) - [c6]Tobias Friedrich
Algorithms for Hard-Constraint Point Processes via Discretization. COCOON 2022: 242-254 - [c5]Samuel Baguley, Tobias Friedrich, Timo Kötzing, Xiaoyue Li, Marcus Pappik, Ziena Zeif:
Analysis of a gray-box operator for vertex cover. GECCO 2022: 1363-1371 - [i5]Tobias Friedrich, Andreas Göbel, Maximilian Katzmann, Martin S. Krejca, Marcus Pappik:
Using random graphs to sample repulsive Gibbs point processes with arbitrary-range potentials. CoRR abs/2204.01793 (2022) - [i4]Holger Dell, Mark Richard Jerrum, Haiko Müller, Konrad Anand, Marcus Pappik:
Counting and Sampling: Algorithms and Complexity (Dagstuhl Seminar 22482). Dagstuhl Reports 12(11): 124-145 (2022) - 2021
- [c4]Tobias Friedrich, Andreas Göbel, Martin S. Krejca
A Spectral Independence View on Hard Spheres via Block Dynamics. ICALP 2021: 66:1-66:15 - [i3]Tobias Friedrich, Andreas Göbel, Maximilian Katzmann, Martin S. Krejca
Algorithms for general hard-constraint point processes via discretization. CoRR abs/2107.08848 (2021) - 2020
- [i2]Tobias Friedrich, Andreas Göbel, Martin S. Krejca, Marcus Pappik:
Polymer dynamics via cliques with applications to hard-sphere mixtures. CoRR abs/2007.08293 (2020)
2010 – 2019
- 2019
- [c3]Hagen Echzell
Convergence and Hardness of Strategic Schelling Segregation. WINE 2019: 156-170 - [i1]Hagen Echzell, Tobias Friedrich, Pascal Lenzner, Louise Molitor, Marcus Pappik, Friedrich Schöne, Fabian Sommer, David Stangl:
Convergence and Hardness of Strategic Schelling Segregation. CoRR abs/1907.07513 (2019) - 2018
- [c2]Arvind Kumar Shekar, Marcus Pappik, Patricia Iglesias Sánchez, Emmanuel Müller:
Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification. DS 2018: 224-240 - 2017
- [c1]Louis Kirsch, Niklas Riekenbrauck, Daniel Thevessen, Marcus Pappik, Axel Stebner, Julius Kunze, Alexander Meissner, Arvind Kumar Shekar, Emmanuel Müller:
Framework for Exploring and Understanding Multivariate Correlations. ECML/PKDD (3) 2017: 404-408
Coauthor Index
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