The (1+1)-EA on Noisy Linear Functions with Random Positive Weights. - Johannes Lengler; Ulysse Schaller (SSCI, 2018)

The Maximum Label Propagation Algorithm on Sparse Random Graphs. - Charlotte Knierim; Johannes Lengler; Pascal Pfister; Ulysse Schaller; Angelika Steger (APPROX-RANDOM, 2019)

Four universal growth regimes in degree-dependent first passage percolation on spatial random graphs I. - Júlia Komjáthy; John Lapinskas; Johannes Lengler; Ulysse Schaller (CoRR, 2023)

Four universal growth regimes in degree-dependent first passage percolation on spatial random graphs II. - Júlia Komjáthy; John Lapinskas; Johannes Lengler; Ulysse Schaller (CoRR, 2023)

Faster Optimization Through Genetic Drift. - Cella Florescu; Marc Kaufmann; Johannes Lengler; Ulysse Schaller (PPSN (3), 2024)

Expressivity of Geometric Inhomogeneous Random Graphs - Metric and Non-Metric. - Benjamin Dayan; Marc Kaufmann; Ulysse Schaller (CoRR, 2024)

Sublinear Cuts are the Exception in BDF-GIRGs. - Marc Kaufmann; Raghu Raman Ravi; Ulysse Schaller (CoRR, 2024)

Rumour Spreading Depends on the Latent Geometry and Degree Distribution in Social Network Models. - Marc Kaufmann; Kostas Lakis; Johannes Lengler; Raghu Raman Ravi; Ulysse Schaller; Konstantin Sturm (CoRR, 2024)

Balanced Bidirectional Breadth-First Search on Scale-Free Networks. - Sacha Cerf; Benjamin Dayan; Umberto De Ambroggio; Marc Kaufmann; Johannes Lengler; Ulysse Schaller (CoRR, 2024)

Adversarially-Robust Gossip Algorithms for Approximate Quantile and Mean Computations. - Bernhard Haeupler; Marc Kaufmann; Raghu Raman Ravi; Ulysse Schaller (CoRR, 2025)

Expanders in Models of Social Networks. - Marc Kaufmann; Johannes Lengler; Ulysse Schaller; Konstantin Sturm (CoRR, 2025)