97 citations · 206 across the 14 of their papers we have counts for
7 papers · 1 filter
Transitional annealed adaptive slice sampling for Gaussian process hyper-parameter estimation
A. Garbuno-Inigo, F. A. DiazDelaO, K. M. Zuev
Surrogate models have become ubiquitous in science and engineering for their capability of emulating expensive computer codes, necessary to model and investigate complex phenomena.…
Rare Event Simulation
James L. Beck, Konstantin M. Zuev
Rare events are events that are expected to occur infrequently, or more technically, those that have low probabilities (say, order of or less) of occurring according to a…
The Maximum Number of 3- and 4-Cliques within a Planar Maximally Filtered Graph
Jenna Birch, Athanasios A. Pantelous, Konstantin Zuev
Planar Maximally Filtered Graphs (PMFG) are an important tool for filtering the most relevant information from correlation based networks such as stock market networks. One of the…
Subset Simulation Method for Rare Event Estimation: An Introduction
Konstantin Zuev
This paper provides a detailed introductory description of Subset Simulation, an advanced stochastic simulation method for estimation of small probabilities of rare failure events.…
Hamiltonian Dynamics of Preferential Attachment
Konstantin Zuev, Fragkiskos Papadopoulos, Dmitri Krioukov
Prediction and control of network dynamics are grand-challenge problems in network science. The lack of understanding of fundamental laws driving the dynamics of networks is among…
Exponential Random Simplicial Complexes
Konstantin Zuev, Or Eisenberg, Dmitri Krioukov
Exponential random graph models have attracted significant research attention over the past decades. These models are maximum-entropy ensembles under the constraints that the expec…
Emergence of Soft Communities from Geometric Preferential Attachment
Konstantin Zuev, Marian Boguna, Ginestra Bianconi +1
All real networks are different, but many have some structural properties in common. There seems to be no consensus on what the most common properties are, but scale-free degree di…