Khalil Elkhalil

Orcid: 0000-0001-7656-3246

According to our database1, Khalil Elkhalil authored at least 29 papers between 2013 and 2023.

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Bibliography

2023
Characteristic Neural Ordinary Differential Equation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Score-Based Hypothesis Testing for Unnormalized Models.
IEEE Access, 2022

Modeling extremes with d-max-decreasing neural networks.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Cost-sensitive design of quadratic discriminant analysis for imbalanced data.
Pattern Recognit. Lett., 2021

Characteristic Neural Ordinary Differential Equations.
CoRR, 2021

Deep Extreme Value Copulas for Estimation and Sampling.
CoRR, 2021

Generative Archimedean copulas.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Fisher Auto-Encoders.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Risk Convergence of Centered Kernel Ridge Regression With Large Dimensional Data.
IEEE Trans. Signal Process., 2020

A Large Dimensional Study of Regularized Discriminant Analysis.
IEEE Trans. Signal Process., 2020

Improved Design of Quadratic Discriminant Analysis Classifier in Unbalanced Settings.
CoRR, 2020

2019
Asymptotic Performance of Linear Discriminant Analysis with Random Projections.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Measurement Selection: A Random Matrix Theory Approach.
IEEE Trans. Wirel. Commun., 2018

Regularized Discriminant Analysis: A Large Dimensional Study.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
Numerically Stable Evaluation of Moments of Random Gram Matrices With Applications.
IEEE Signal Process. Lett., 2017

Fluctuations of the SNR at the output of the MVDR with regularized Tyler estimators.
Signal Process., 2017

Asymptotic performance of regularized quadratic discriminant analysis based classifiers.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016
Analytical Derivation of the Inverse Moments of One-Sided Correlated Gram Matrices With Applications.
IEEE Trans. Signal Process., 2016

On the Feedback Reduction of Multiuser Relay Networks Using Compressive Sensing.
IEEE Trans. Commun., 2016

Blind Measurement Selection: A Random Matrix Theory Approach.
CoRR, 2016

Block compressed sensing for feedback reduction in relay-aided multiuser full duplex networks.
Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

Exact closed-form expression for the inverse moments of one-sided correlated Gram matrices.
Proceedings of the IEEE International Symposium on Information Theory, 2016

A Blind Antenna Selection Scheme for Single-Cell Uplink Massive MIMO.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

2015
Opportunistic Relay Selection With Limited Feedback.
IEEE Trans. Commun., 2015

On the Feedback Reduction of Relay Aided Multiuser Networks using Compressive Sensing.
CoRR, 2015

Relay Selection with Limited and Noisy Feedback.
Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015

Distributed User Selection in Network MIMO Systems with Limited Feedback.
Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015

2014
Opportunistic relay selection in multicast relay networks using compressive sensing.
Proceedings of the IEEE Global Communications Conference, 2014

2013
Joint Channel Estimation and Decision Directed Decoding for OFDM-IDMA Systems over Sparse Channels.
Proceedings of the European Wireless 2013, 2013


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