no code implementations • 2 Jun 2023 • Tuan Minh Pham, Kunihiko Kaneko
The investigation of adaptive dynamics, involving many degrees of freedom on two separated timescales, one for fast changes of state variables and another for the slow adaptation of parameters controlling the former's dynamics is crucial for understanding feedback mechanisms underlying evolutionary and developmental processes.
1 code implementation • 3 Mar 2023 • Ryan Liu, Paolo Calafiura, Steven Farrell, Xiangyang Ju, Daniel Thomas Murnane, Tuan Minh Pham
We introduce a novel variant of GNN for particle tracking called Hierarchical Graph Neural Network (HGNN).
no code implementations • 28 Nov 2022 • Tuan Minh Pham, Kunihiko Kaneko
We describe the interplay between the genetic variations and phenotypic variances by noise in this model by our new approach that extends the replica theory for spin-glasses to include spin-replica for phenotypes and coupling-replica for genotypes.
