activity
20162024
most citedGbps User Rates Using mmWave Relayed Backhaul with High Gain Antennas

64 citations · 66 across the 4 of their papers we have counts for

collaborators

7 papers

math.PR2024

Ising Disks: Topology Preserving Glauber Dynamics

Yuliy Baryshnikov, Efe Onaran

We introduce a dynamic model where the state space is the set of contractible cubical sets in the Euclidian space. The permissible state transitions, that is addition and removal o…

math.PR2023

Central Limit Theorems for Local Functionals of Dynamic Point Processes

Efe Onaran, Omer Bobrowski, Robert J. Adler

We establish finite-dimensional central limit theorems for local, additive, interaction functions of temporally evolving point processes. The dynamics are those of a spatial Poisso…

stat.CO2022★ 2 cited

Shuffled linear regression through graduated convex relaxation

Efe Onaran, Soledad Villar

The shuffled linear regression problem aims to recover linear relationships in datasets where the correspondence between input and output is unknown. This problem arises in a wide…

math.PR2022

Functional Central Limit Theorems for Local Statistics of Spatial Birth-Death Processes in the Thermodynamic Regime

Efe Onaran, Omer Bobrowski, Robert J. Adler

We present normal approximation results at the process level for local functionals defined on dynamic Poisson processes in . The dynamics we study here are those of a…

stat.CO2017

Projected Power Iteration for Network Alignment

Efe Onaran, Soledad Villar

The network alignment problem asks for the best correspondence between two given graphs, so that the largest possible number of edges are matched. This problem appears in many scie…

cs.IT2017★ 64 cited

Gbps User Rates Using mmWave Relayed Backhaul with High Gain Antennas

Jinfeng Du, Efe Onaran, Dmitry Chizhik +2

Delivering Gbps high user rate over long distances (around 1 km) is challenging, and the abundant spectrum available in millimeter wave band cannot solve the challenge by its own d…

cs.SI2016

Optimal De-Anonymization in Random Graphs with Community Structure

Efe Onaran, Siddharth Garg, Elza Erkip

Anonymized social network graphs published for academic or advertisement purposes are subject to de-anonymization attacks by leveraging side information in the form of a second, pu…