1 citations · 1 across the 5 of their papers we have counts for
6 papers
Bayesian Convolutional Neural Networks for Prior Learning in Graph Signal Recovery
Razieh Torkamani, Arash Amini, Hadi Zayyani +1
Graph signal recovery (GSR) is a fundamental problem in graph signal processing, where the goal is to reconstruct a complete signal defined over a graph from a subset of noisy or m…
DOA Estimation via Optimal Weighted Low-Rank Matrix Completion
Saeed Razavikia, Mohammad Bokaei, Arash Amini +2
This paper presents a novel method for estimating the direction of arrival (DOA) for a non-uniform and sparse linear sensor array using the weighted lifted structure low-rank matri…
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework
Amirabbas Afzali, Hesam Hosseini, Mohmmadamin Mirzai +1
Time series data analysis is prevalent across various domains, including finance, healthcare, and environmental monitoring. Traditional time series clustering methods often struggl…
Subspace-Informed Matrix Completion
Hamideh. Sadat Fazael Ardakani, Sajad Daei, Arash Amini +2
In this work, we consider the matrix completion problem, where the objective is to reconstruct a low-rank matrix from a few observed entries. A commonly employed approach involves…
ARMA Processes with Discrete-Continuous Excitation: Compressibility Beyond Sparsity
Mohammad-Amin Charusaie, Stefano Rini, Arash Amini
Rényi Information Dimension (RID) plays a central role in quantifying the compressibility of random variables with singularities in their distribution, encompassing and extending b…
Harmonic Retrieval Using Weighted Lifted-Structure Low-Rank Matrix Completion
Mohammad Bokaei, Saeed Razavikia, Stefano Rini +2
In this paper, we investigate the problem of recovering the frequency components of a mixture of complex sinusoids from a random subset of equally-spaced time-domain sample…