146 citations · 258 across the 16 of their papers we have counts for
4 papers · 1 filter
Learning Kolmogorov Models for Binary Random Variables
Hadi Ghauch, Mikael Skoglund, Hossein Shokri-Ghadikolaei +2
We summarize our recent findings, where we proposed a framework for learning a Kolmogorov model, for a collection of binary random variables. More specifically, we derive condition…
A Unified Framework for Training Neural Networks
Hadi Ghauch, Hossein Shokri-Ghadikolaei, Carlo Fischione +1
The lack of mathematical tractability of Deep Neural Networks (DNNs) has hindered progress towards having a unified convergence analysis of training algorithms, in the general sett…
Low-Overhead Coordination in Sub-28 Millimeter-Wave Networks
Hadi Ghauch, Taejoon Kim, Mikael Skoglund +1
In this paper, we present some contributions from our recent investigation. We address the open issue of interference coordination for sub-28 GHz millimeter-wave communication, by…
Distributed Coordinated Transmission with Forward-Backward Training for 5G Radio Access
Antti Tölli, Hadi Ghauch, Jarkko Kaleva +7
Coordinated multipoint (CoMP) transmission and reception have been considered in cellular networks for enabling larger coverage, improved rates, and interference mitigation. To har…