2.7k citations · 7.9k across the 98 of their papers we have counts for
8 papers · 2 filters
Tracking Dynamic Simplicial Complexes via Constrained State-Space Estimation
Varun Sarathchandran, Bishwadeep Das, Elvin Isufi +1
Simplicial complexes (SCs) extend graphs to represent higher-order interactions, but couple their simplex levels through the inclusion property. While static SC inference is an eme…
Learning the Topology of a Simplicial Complex Using Noisy Simplicial Signals
Andrei Buciulea, Elvin Isufi, Geert Leus +1
Graphs are a fundamental tool for modeling the irregular (non-Euclidean) structure of complex data. However, they are inherently limited to representing pairwise relationships, mak…
Exact Bayesian Tracking of Dynamic Network Topologies
Victor M. Tenorio, Elvin Isufi, Geert Leus +1
Tracking the temporal evolution of network topologies is a fundamental challenge in social networks, epidemiology, and sensor systems, among others. This paper develops an exact Ba…
Robust Multi-Source DoA Estimation under Weather-Induced Distortion: Structured Covariance Methods and Performance Bounds
Chenyang Yan, Geert Leus, Mats Bengtsson
Direction-of-arrival (DoA) estimation in adverse weather is degraded by propagation-induced phase and amplitude distortions that violate the covariance structure assumed by classic…
CRB-Optimal Arrays and Waveforms in Active Sensing: Role of Redundancy and Spatial Covariance of Array Geometry
Ids van der Werf, Robin Rajamäki, Geert Leus
This paper characterizes the performance limits of optimal array designs using orthogonal and coherent waveforms for both linear and planar arrays. For orthogonal waveforms, we sho…
A Covariance Matching Approach to Graph Topology Identification
Yongsheng Han, Raj Thilak Rajan, Geert Leus
Graph topology identification (GTI) is a central challenge in networked systems, where the underlying structure is often hidden, yet nodal data are available. Conventional solution…