73 citations · 92 across the 10 of their papers we have counts for
4 papers · 1 filter
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments
M. Ali Vosoughi, Axel Wismuller
Causal discovery, beyond the inference of a network as a collection of connected dots, offers a crucial functionality in scientific discovery using artificial intelligence. The que…
Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI
M. Ali Vosoughi, Axel Wismuller
It has been shown in the literature that marijuana use is associated with changes in brain network connectivity. We propose large-scale Extended Granger Causality (lsXGC) and inves…
Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks
M. Ali Vosoughi, Axel Wismuller
Graph topology inference of network processes with co-evolving and interacting time-series is crucial for network studies. Vector autoregressive models (VAR) are popular approaches…
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data
Axel Wismüller, Adora M. DSouza, Anas Z. Abidin
To gain insight into complex systems it is a key challenge to infer nonlinear causal directional relations from observational time-series data. Specifically, estimating causal rela…