activity
20072021
most citedAdiabatic Quantum Kitchen Sinks for Learning Kernels Using Randomized Features

18 citations · 53 across the 9 of their papers we have counts for

collaborators

11 papers

cs.IT2021

Distributed Storage Allocations for Optimal Service Rates

Pei Peng, Moslem Noori, Emina Soljanin

Redundant storage maintains the performance of distributed systems under various forms of uncertainty. This paper considers the uncertainty in node access and download service. We…

quant-ph2020★ 1 cited

Quantum Multiple Kernel Learning

Seyed Shakib Vedaie, Moslem Noori, Jaspreet S. Oberoi +2

Kernel methods play an important role in machine learning applications due to their conceptual simplicity and superior performance on numerous machine learning tasks. Expressivity…

quant-ph2019★ 18 cited

Adiabatic Quantum Kitchen Sinks for Learning Kernels Using Randomized Features

Moslem Noori, Seyed Shakib Vedaie, Inderpreet Singh +4

Quantum information processing is likely to have far-reaching impact in the field of artificial intelligence. While the race to build an error-corrected quantum computer is ongoing…

eess.SP2017★ 6 cited

Partial Zero-Forcing for Multi-Way Relay Networks

Samira Rahimian, Wuhua Zhang, Moslem Noori +2

The ever increasing demands for mobile network access have resulted in a significant increase in bandwidth usage. By improving the system spectral efficiency, multi-way relay netwo…

cs.IT2017★ 1 cited

Storage Allocation for Multi-Class Distributed Data Storage Systems

Koosha Pourtahmasi Roshandeh, Moslem Noori, Masoud Ardakani +1

Distributed storage systems (DSSs) provide a scalable solution for reliably storing massive amounts of data coming from various sources. Heterogeneity of these data sources often m…

cs.IT2016

Maximizing Data Rate for Multiway Relay Channels with Pairwise Transmission Strategy

Reza Rafie Borujeny, Moslem Noori, Masoud Ardakani

In a multiway relay channel (MWRC), pairwise transmission strategy can be used to reduce the computational complexity at the relay and the users without sacrificing the data rate,…