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20202023
most citedLarge deviations for hyperbolic -nearest neighbor balls

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

math.PR2023

Cumulant method for weighted random connection models

Nils Heerten, Christian Hirsch, Moritz Otto

In this paper, we derive cumulant bounds for subgraph counts and power-weighted edge length in a class of spatial random networks known as weighted random connection models. This i…

math.PR2023

Large deviations for the isoperimetric constant in 2D percolation

Christian Hirsch, Kyeongsik Nam

Isoperimetric profile describes the minimal boundary size of a set with a prescribed volume. Itai Benjamini conjectured that the isoperimetric profile of the giant component in sup…

math.PR20231 cited

On the topology of higher-order age-dependent random connection models

Christian Hirsch, Peter Juhasz

In this paper, we investigate the potential of the age-dependent random connection model (ADRCM) with the aim of representing higher-order networks. A key contribution of our work…

math.PR20231 cited

Large deviations for hyperbolic -nearest neighbor balls

Christian Hirsch, Moritz Otto, Takashi Owada +1

We prove a large deviation principle for the point process of large Poisson -nearest neighbor balls in hyperbolic space. More precisely, we consider a stationary Poisson point p…

cond-mat.dis-nn2021

Asymptotic properties of one-layer artificial neural networks with sparse connectivity

Christian Hirsch, Matthias Neumann, Volker Schmidt

A law of large numbers for the empirical distribution of parameters of a one-layer artificial neural networks with sparse connectivity is derived for a simultaneously increasing nu…

math.PR2020

Invariance principle for random walks on dynamically averaging random conductances

Stein Andreas Bethuelsen, Christian Hirsch, Christian Mönch

We prove an invariance principle for continuous-time random walks in a dynamically averaging environment on . In the beginning, the conductances may fluctuate substantia…