activity
20142017
most citedExpanding the Compute-and-Forward Framework: Unequal Powers, Signal Levels, and Multiple Linear Combinations

60 citations · 118 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ML2017★ 9 cited

Medoids in almost linear time via multi-armed bandits

Vivek Bagaria, Govinda M. Kamath, Vasilis Ntranos +2

Computing the medoid of a large number of points in high-dimensional space is an increasingly common operation in many data science problems. We present an algorithm Med-dit which…

cs.IT2015

Cooperation Alignment for Distributed Interference Management

Vasilis Ntranos, Mohammad Ali Maddah-Ali, Giuseppe Caire

We consider a cooperative Gaussian interference channel in which each receiver must decode its intended message locally, with the help of cooperation either at the receivers side o…

cs.IT2015★ 49 cited

Understanding interdependency through complex information sharing

Fernando Rosas, Vasilis Ntranos, Christopher J. Ellison +2

The interactions between three or more random variables are often nontrivial, poorly understood, and yet, are paramount for future advances in fields such as network information th…

cs.IT2015★ 60 cited

Expanding the Compute-and-Forward Framework: Unequal Powers, Signal Levels, and Multiple Linear Combinations

Bobak Nazer, Viveck Cadambe, Vasilis Ntranos +1

The compute-and-forward framework permits each receiver in a Gaussian network to directly decode a linear combination of the transmitted messages. The resulting linear combinations…

cs.IT2014

Cellular Interference Alignment: Omni-Directional Antennas and Asymmetric Configurations

Vasilis Ntranos, Mohammad Ali Maddah-Ali, Giuseppe Caire

Although interference alignment (IA) can theoretically achieve the optimal degrees of freedom (DoFs) in the -user Gaussian interference channel, its direct application comes at…