3 papers
cs.LG2025
Downlink Channel Covariance Matrix Estimation via Representation Learning with Graph Regularization
Melih Can Zerin, Elif Vural, Ali Ãzgür Yılmaz
In this paper, we propose an algorithm for downlink (DL) channel covariance matrix (CCM) estimation for frequency division duplexing (FDD) massive multiple-input multiple-output (M…
stat.ML2025
A Unified Analysis of Generalization and Sample Complexity for Semi-Supervised Domain Adaptation
Elif Vural, Huseyin Karaca
Domain adaptation seeks to leverage the abundant label information in a source domain to improve classification performance in a target domain with limited labels. While the field…
stat.ML2025
Graph Signal Inference by Learning Narrowband Spectral Kernels
Osman Furkan Kar, Gülce Turhan, Elif Vural
While a common assumption in graph signal analysis is the smoothness of the signals or the band-limitedness of their spectrum, in many instances the spectrum of real graph data may…