17 citations · 37 across the 7 of their papers we have counts for
7 papers
Indication Finding: a novel use case for representation learning
Maren Eckhoff, Valmir Selimi, Alexander Aranovitch +7
Many therapies are effective in treating multiple diseases. We present an approach that leverages methods developed in natural language processing and real-world data to prioritize…
Near critical preferential attachment networks have small giant components
Maren Eckhoff, Peter Morters, Marcel Ortgiese
Preferential attachment networks with power law exponent are known to exhibit a phase transition. There is a value such that, for small edge densities $ρ\leq ρ_…
Long paths in first passage percolation on the complete graph I. Local PWIT dynamics
M. Eckhoff, J. Goodman, R. van der Hofstad +1
We study the random geometry of first passage percolation on the complete graph equipped with independent and identically distributed edge weights, continuing the program initiated…
Long paths in first passage percolation on the complete graph II. Global branching dynamics
M. Eckhoff, J. Goodman, R. van der Hofstad +1
We study the random geometry of first passage percolation on the complete graph equipped with independent and identically distributed edge weights, continuing the program initiated…
Spines, skeletons and the Strong Law of Large Numbers for superdiffusions
Maren Eckhoff, Andreas E. Kyprianou, Matthias Winkel
Consider a supercritical superdiffusion (X_t) on a domain D subset R^d with branching mechanism -β(x) z+α(x) z^2 + int_{(0,infty)} (e^{-yz}-1+yz) Pi(x,dy). The skeleton decompositi…
Vulnerability of robust preferential attachment networks
Maren Eckhoff, Peter Mörters
Scale-free networks with small power law exponent are known to be robust, meaning that their qualitative topological structure cannot be altered by random removal of even a large p…