Marcus Pappik

Orcid: 0000-0002-2480-3073

According to our database1, Marcus Pappik authored at least 17 papers between 2017 and 2024.

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Bibliography

2024
Lazy brute-force sampling: A universal perfect sampling scheme from Markov chains.
CoRR, 2024

From Market Saturation to Social Reinforcement: Understanding the Impact of Non-Linearity in Information Diffusion Models.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Fast and Slow Mixing of the Kawasaki Dynamics on Bounded-Degree Graphs.
Proceedings of the Approximation, 2024

The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Polymer dynamics via cliques: New conditions for approximations.
Theor. Comput. Sci., 2023

Fixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Perfect Sampling for Hard Spheres from Strong Spatial Mixing.
Proceedings of the Approximation, 2023

2022
Counting and Sampling: Algorithms and Complexity (Dagstuhl Seminar 22482).
Dagstuhl Reports, November, 2022

A Spectral Independence View on Hard Spheres via Block Dynamics.
SIAM J. Discret. Math., September, 2022

Using random graphs to sample repulsive Gibbs point processes with arbitrary-range potentials.
CoRR, 2022

Analysis of a gray-box operator for vertex cover.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Algorithms for Hard-Constraint Point Processes via Discretization.
Proceedings of the Computing and Combinatorics - 28th International Conference, 2022

2021
Algorithms for general hard-constraint point processes via discretization.
CoRR, 2021

2020
Polymer dynamics via cliques with applications to hard-sphere mixtures.
CoRR, 2020

2019
Convergence and Hardness of Strategic Schelling Segregation.
Proceedings of the Web and Internet Economics - 15th International Conference, 2019

2018
Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification.
Proceedings of the Discovery Science - 21st International Conference, 2018

2017
Framework for Exploring and Understanding Multivariate Correlations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017


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