Talha Cihad Gulcu
Talha Cihad Gulcu
Bestätigte E-Mail-Adresse bei umd.edu
Zitiert von
Zitiert von
Achieving secrecy capacity of the wiretap channel and broadcast channel with a confidential component
TC Gulcu, A Barg
IEEE Transactions on Information Theory 63 (2), 1311-1324, 2016
Construction of polar codes for arbitrary discrete memoryless channels
TC Gulcu, M Ye, A Barg
IEEE Transactions on Information Theory 64 (1), 309-321, 2017
Attack vulnerability of power systems under an equal load redistribution model
TC Gulcu, V Chatziafratis, Y Zhang, O Yağan
IEEE/ACM Transactions on Networking 26 (3), 1306-1319, 2018
Linear algebraic theory of partial coherence: continuous fields and measures of partial coherence
HM Ozaktas, TC Gulcu, MA Kutay
JOSA A 33 (11), 2115-2124, 2016
Statistical and algorithmic insights for semi-supervised learning with self-training
S Oymak, TC Gulcu
arXiv preprint arXiv:2006.11006, 2020
Choice of sampling interval and extent for finite-energy fields
TC Gulcu, HM Ozaktas
IEEE Transactions on Signal Processing 65 (7), 1741-1751, 2016
Interactive function computation via polar coding
TC Gülcü, AM Barg
Problems of Information Transmission 52 (1), 66-91, 2016
Finite representation of finite energy signals
TC Gülcü
bilkent university, 2011
Comments on “Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?”
TC Gulcu
IEEE Transactions on Signal Processing 68, 2401-2403, 2020
Choice of quantization interval for finite-energy fields
TC Gulcu
IEEE Transactions on Signal Processing 66 (9), 2470-2479, 2018
Universal Lower Bound for Finite-Sample Reconstruction Error and Its Relation to Prolate Spheroidal Functions
TC Gulcu, HM Ozaktas
IEEE Signal Processing Letters 25 (1), 50-54, 2017
A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models
S Oymak, TC Gulcu
International Conference on Artificial Intelligence and Statistics, 3601-3609, 2021
Secure Node Repair of Reed-Solomon Codes
TC Gulcu
2020 IEEE International Symposium on Information Theory (ISIT), 583-588, 2020
Stronger convergence results for deep residual networks: network width scales linearly with training data size
TC Gulcu
arXiv preprint arXiv:1911.04351, 2019
Design and Analysis of Communication Schemes via Polar Coding
TC Gulcu
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