1 citations · 1 across the 4 of their papers we have counts for
4 papers
Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
Justin Lee, Behnaz Moradijamei, Heman Shakeri
Modeling the evolution of high-dimensional systems from limited snapshot observations at irregular time points poses a significant challenge in quantitative biology and related fie…
An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman Pseudospectra
Ali Tavasoli, Behnaz Moradijamei, Heman Shakeri
This paper presents an interpretable machine learning approach that characterizes load dynamics within an operator-theoretic framework for electricity load forecasting in power gri…
A new method for quantifying network cyclic structure to improve community detection
Behnaz Moradi-Jamei, Heman Shakeri, Pietro Poggi-Corradini +1
A distinguishing property of communities in networks is that cycles are more prevalent within communities than across communities. Thus, the detection of these communities may be a…
Generalization of Effective Conductance Centrality for Egonetworks
Heman Shakeri, Behnaz Moradi-Jamei, Pietro Poggi-Corradini +2
We study the popular centrality measure known as effective conductance or in some circles as information centrality. This is an important notion of centrality for undirected networ…