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20032025
most citedA Closer Look at Memorization in Deep Networks

353 citations

Showing 2019Show all

36 papers · 1 filter

cs.IT20192 cited

Beamforming Learning for mmWave Communication: Theory and Experimental Validation

ohaned Chraiti, Dmitry Chizhik, Jinfeng Du +3

To establish reliable and long-range millimeter-wave (mmWave) communication, beamforming is deemed to be a promising solution. Although beamforming can be done in the digital and a…

cond-mat.mes-hall20192 cited

Transport in armchair graphene nanoribbons and in ordinary waveguides

M. Zubair, M. Bahrami, P. Vasilopoulos

We study dc and ac transport along armchair graphene nanoribbons using the spectrum and eigenfunctions and general linear-response expressions for the conductiviti…

math.OC2019

Deep Nash and Sequential Mean-Field Equilibria in Cooperative and Non-cooperative Games with Imperfect Information Structures

Jalal Arabneydi, Amir G. Aghdam

A class of nonzero-sum stochastic dynamic games with imperfect information structure is investigated. The game involves an arbitrary number of players, modeled as homogeneous Marko…

math.ST20191 cited

Analysis of the rate of convergence of neural network regression estimates which are easy to implement

Alina Braun, Michael Kohler, Adam Krzyzak

Recent results in nonparametric regression show that for deep learning, i.e., for neural network estimates with many hidden layers, we are able to achieve good rates of convergence…

math.FA2019

Berberian extension and its S-spectra in a quaternionic Hilbert space

B. Muraleetharan, K. Thirulogasanthar

For a bounded right linear operators , in a right quaternionic Hilbert space , following the complex formalism, we study the Berberian extension , w…

eess.IV20194 cited

Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography

Abdelrahman Zayed, Hassan Rivaz

Ultrasound elastography estimates the mechanical properties of the tissue from two Radio-Frequency (RF) frames collected before and after tissue deformation due to an external or i…