270 citations · 1.4k across the 97 of their papers we have counts for
6 papers · 1 filter
Memory-induced mechanism for self-sustaining activity in networks
A. E. Allahverdyan, G. Ver Steeg, A. Galstyan
We study a mechanism of activity sustaining on networks inspired by a well-known model of neuronal dynamics. Our primary focus is the emergence of self-sustaining collective activi…
Kernelized Hashcode Representations for Relation Extraction
Sahil Garg, Aram Galstyan, Greg Ver Steeg +3
Kernel methods have produced state-of-the-art results for a number of NLP tasks such as relation extraction, but suffer from poor scalability due to the high cost of computing kern…
Disentangled Representations via Synergy Minimization
Greg Ver Steeg, Rob Brekelmans, Hrayr Harutyunyan +1
Scientists often seek simplified representations of complex systems to facilitate prediction and understanding. If the factors comprising a representation allow us to make accurate…
Unifying Local and Global Change Detection in Dynamic Networks
Wenzhe Li, Dong Guo, Greg Ver Steeg +1
Many real-world networks are complex dynamical systems, where both local (e.g., changing node attributes) and global (e.g., changing network topology) processes unfold over time. L…
Unsupervised Learning via Total Correlation Explanation
Greg Ver Steeg
Learning by children and animals occurs effortlessly and largely without obvious supervision. Successes in automating supervised learning have not translated to the more ambiguous…
Fast structure learning with modular regularization
Greg Ver Steeg, Hrayr Harutyunyan, Daniel Moyer +1
Estimating graphical model structure from high-dimensional and undersampled data is a fundamental problem in many scientific fields. Existing approaches, such as GLASSO, latent var…