2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2026
In-context learning to predict critical transitions in dynamical systems
Yunus Sevinchan, Juan Nathaniel, Kai Ueltzhöffer +8
Critical transitions - abrupt, often irreversible changes in system dynamics - arise across human and natural systems, often with catastrophic consequences. Real-world observations…
cond-mat.stat-mech2024★ 2 cited
Consensus decision making on a complete graph: complex behaviour from simple assumptions
P. Sarkanych, Yu. Sevinchan, M. Krasnytska +2
In this paper we investigate a model of consensus decision making [Hartnett A. T., et al., Phys. Rev. Lett., 2016, 116, 038701] following a statistical physics approach presented i…