| 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 | 92 | 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 | 40 | 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 | 22 | 2018 |
| Statistical and algorithmic insights for semi-supervised learning with self-training S Oymak, TC Gulcu arXiv preprint arXiv:2006.11006, 2020 | 21 | 2020 |
| 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 | 10 | 2021 |
| 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 | 9 | 2016 |
| Interactive function computation via polar coding TC Gülcü, AM Barg Problems of Information Transmission 52 (1), 66-91, 2016 | 7 | 2016 |
| Choice of sampling interval and extent for finite-energy fields TC Gulcu, HM Ozaktas IEEE Transactions on Signal Processing 65 (7), 1741-1751, 2016 | 6 | 2016 |
| Comments on “Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?” TC Gulcu IEEE Transactions on Signal Processing 68, 2401-2403, 2020 | 3 | 2020 |
| Finite representation of finite energy signals TC Gülcü PQDT-Global, 2011 | 2 | 2011 |
| Stronger convergence results for deep residual networks: network width scales linearly with training data size TC Gulcu Information and Inference: A Journal of the IMA 11 (2), 497-532, 2022 | 1 | 2022 |
| Secure node repair of Reed-Solomon codes TC Gulcu 2020 IEEE International Symposium on Information Theory (ISIT), 583-588, 2020 | 1 | 2020 |
| Choice of quantization interval for finite-energy fields TC Gulcu IEEE Transactions on Signal Processing 66 (9), 2470-2479, 2018 | 1 | 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 | 1 | 2017 |
| Design and analysis of communication schemes via polar coding TC Gulcu University of Maryland, College Park, 2015 | 1 | 2015 |
| A Multi-Armed Bandit Problem with the Optimal Arm Depending on a Hidden Markov Model TC Gulcu 2021 IEEE Information Theory Workshop (ITW), 1-6, 2021 | | 2021 |
| REG-MO1. A: Machine Learning I TC Gulcu, A Painsky, I Dumer, N Gharavi, K Andreev, P Rybin, AA Frolov | | |
Alexander BargUniversity of MarylandDirección de correo verificada de umd.edu
