Farhad|Mrkm/Benchmarking|Neural|Capacity|Estimators
Farhad-Mrkm/Benchmarking-Neural-Capacity-Estimators - GitHub
Benchmarking Neural Capacity Estimators. Contribute to Farhad-Mrkm/Benchmarking-Neural-Capacity-Estimators development by creating an account on GitHub.
Benchmarking Neural Capacity Estimation: Viability & Reliability
as Pdb, i.e. Pdb = 10 log10(P). The code used for the simulations in the paper can be found online here: https://github.com/Farhad-Mrkm/.
Farhad-Mrkm/Neural-Capacity-Computation - GitHub
Contribute to Farhad-Mrkm/Neural-Capacity-Computation development by creating an account on GitHub.
Farhad Mirkarimi on LinkedIn: Benchmarking Neural Capacity ...
I am happy to announce that our latest work on applications of neural mutual information in communication systems, titled "bench marking ...
[2111.07401] Neural Capacity Estimators: How Reliable Are They?
Neural Capacity Estimators: How Reliable Are They? Authors:Farhad Mirkarimi, Stefano Rini, Nariman Farsad.
Benchmarking Neural Capacity Estimation: Viability and Reliability
(Corresponding author: Stefano Rini.) Farhad Mirkarimi was with the Department of Electrical Engineering, Sharif. University of Technology, ...
Farhad Mirkarimi - Semantic Scholar
This paper compares the different techniques proposed in the literature for estimating capacity and provides a practitioner perspective on their ...
A Perspective on Neural Capacity Estimation: Viability and Reliability
A Perspective on Neural Capacity Estimation: Viability and Reliability. Authors:Farhad Mirkarimi, Stefano Rini, Nariman Farsad.
Farhad Mirkarimi - Google Scholar
Benchmarking neural capacity estimation: Viability and reliability. F Mirkarimi, S Rini, N Farsad. IEEE Transactions on Communications 71 (5), 2654-2669, 2023.
Papers with Code - Farhad Mirkarimi
These estimators ar referred to as neural mutual information estimation (NMIE)s. NMIEs differ from other approaches as they are data-driven ...
A Perspective on Neural Capacity Estimation: Viability and Reliability
Farhad Mirkarimi, S. Rini · Published in arXiv.org 22 March 2022 · Computer Science.
FARHAD ARPANAEI - Google Scholar
Deep neural network-based QoT estimation for SMF and FMF links. MA Amirabadi, MH Kahaei, SA Nezamalhosseini, F Arpanaei, A Carena. Journal of Lightwave ...
Farhad Nawaz. PhD, ESE. Website. Farhad is interested in ... Publications. Learning Complex Motion Plans using Neural ODEs with Safety and Stability Guarantees.
Design of an artificial neural network for diagnosis of facial pain ...
Epub 2006 Aug 18. Authors. Farhad M Limonadi , Shirley McCartney, Kim J Burchiel. Affiliation. 1 Department of Neurological Surgery, Oregon Health & Science ...
Farhad's practice focuses on antitrust, complex litigation, sports and entertainment, and civil and human rights ... capacity. In re Local TV Advertising ...
We propose a Dynamical System (DS) approach to learn complex, possibly periodic motion plans from kinesthetic demonstrations using Neural Ordinary Differential ...
Farokhi, “Uniformly Bounded State Estimation over Multiple Access Channels,” IEEE Transactions on Automatic Control, 68 (12), pp. 7692-7707, 2023. F. Farokhi, ...
Dr. Farhad A Kamangar - Faculty Profiles - UT Arlington
Teaching Interests. Deep Learning Neural Networks Computer Vision Artificial Intelligence Computer Graphics. Social ...
Farhad Nezami - Harvard Catalyst Profiles
Prediction of directional solidification in freeze casting of biomaterial scaffolds using physics-informed neural networks. Biomed Phys Eng Express. 2024 09 ...
Farhad Davaripour, Ph.D. - Google Scholar
Effect of damage progression on the plastic capacity of a subsea pipeline. F Davaripour, BWT Quinton, K Pike. Ocean Engineering 234, 109118, 2021. 11, 2021.