Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis

1 code implementation • 30 Oct 2019 • Rise Ooi, Takeshi Iwashita, Takeshi Fukaya, Akihiro Ida, Rio Yokota

Hierarchical Matrix (H-matrix) is an approximation technique which splits a target dense matrix into multiple submatrices, and where a selected portion of submatrices are low-rank approximated.

Mathematical Software Distributed, Parallel, and Cluster Computing

Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning

1 code implementation • 14 Nov 2018 • Rise Ooi, Chao-Han Huck Yang, Pin-Yu Chen, Vìctor Eguìluz, Narsis Kiani, Hector Zenil, David Gomez-Cabrero, Jesper Tegnèr

Next, (2) the learned networks are technically controllable as only a small number of driver nodes are required to move the system to a new state.

Transfer Learning

Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics

2 code implementations • 9 Jul 2018 • C. -H. Huck Yang, Rise Ooi, Tom Hiscock, Victor Eguiluz, Jesper Tegnér

We ask whether larger dynamical network motifs exist in biological networks, thus contributing to the higher-order organization of a network.