1 citations · 1 across the 6 of their papers we have counts for
8 papers
Temporal Exploration of Random Spanning Tree Models
Samuel Baguley, Andreas Göbel, Nicolas Klodt +3
The Temporal Graph Exploration problem (TEXP) takes as input a temporal graph, i.e., a sequence of graphs on the same vertex set, and asks for a walk of s…
Testing Thresholds and Spectral Properties of High-Dimensional Random Toroidal Graphs via Edgeworth-Style Expansions
Samuel Baguley, Andreas Göbel, Marcus Pappik +1
We study high-dimensional random geometric graphs (RGGs) of edge-density with vertices uniformly distributed on the -dimensional torus and edges inserted between sufficientl…
The structure of entrance and exit at infinity for time-changed Lévy processes
Samuel Baguley, Leif Döring, Quan Shi
Studying the behaviour of Markov processes at boundary points of the state space has a long history, dating back all the way to William Feller. With different motivations in mind e…
Hyperbolic Random Graphs: Clique Number and Degeneracy with Implications for Colouring
Samuel Baguley, Yannic Maus, Janosch Ruff +1
Hyperbolic random graphs inherit many properties that are present in real-world networks. The hyperbolic geometry imposes a scale-free network with a strong clustering coefficient.…
Uniqueness of locally stable Gibbs point processes via spatial birth-death dynamics
Samuel Baguley, Andreas Göbel, Marcus Pappik
We prove that for every locally stable and tempered pair potential with bounded range, there exists a unique infinite-volume Gibbs point process on for every act…
Fixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem
Samuel Baguley, Tobias Friedrich, Aneta Neumann +3
Parameterized analysis provides powerful mechanisms for obtaining fine-grained insights into different types of algorithms. In this work, we combine this field with evolutionary al…
Analysis of a Gray-Box Operator for Vertex Cover
Samuel Baguley, Tobias Friedrich, Timo Kötzing +3
Combinatorial optimization problems are a prominent application area of evolutionary algorithms, where the (1+1) EA is one of the most investigated. We extend this algorithm by int…
General path integrals and stable SDEs
Sam Baguley, Leif Doering, Andreas Kyprianou
The theory of one-dimensional stochastic differential equations driven by Brownian motion is classical and has been largely understood for several decades. For stochastic different…