6 papers
Recovering Candidate Circadian Regulators of Arrhythmic Pituitary Hormone Genes Using Reliability-Weighted Magnetic Laplacian with rwMagLap
Shabnam Sodagari, Nick Jasperson
We study how to recover candidate circadian-clock regulators of pituitary hormone genes that are important for women's health but do not show a clear 24-hour rhythm in bulk tissue,…
Quantum Causal Discovery via Amplitude Estimation of Kullback-Leibler Divergence
Shabnam Sodagari
Causal discovery from observational data underpins applications in finance, climate modeling, and machine learning. Constraint-based causal discovery reduces structure learning to…
Optimal FALQON for Quantum Approximate Optimization via Layer-wise Parameter Tuning
Michael Mancini, Shabnam Sodagari
Feedback-based adaptive quantum optimization (FALQON) is a promising approach for solving combinatorial problems on noisy intermediate-scale quantum (NISQ) devices, requiring only…
Leveraging Quantum-Based Architectures for Robust Diagnostics
Shabnam Sodagari, Tommy Long
Quantum machine learning has emerged as a promising approach for medical image analysis, particularly in settings where compact models and expressive feature representations are de…
Underpinnings of User-Channel Allocation in Non-Orthogonal Multiple Access for 5G
Shabnam Sodagari
Non-orthogonal multiple access (NOMA) is a part of 5th generation (5G) communication systems. This article presents the underpinnings and underlying structures of the problem of NO…
Deep UL2DL: Channel Knowledge Transfer from Uplink to Downlink
Mohammad Sadegh Safari, Vahid Pourahmadi, Shabnam Sodagari
Knowledge of the channel state information (CSI) at the transmitter side is one of the primary sources of information that can be used for the efficient allocation of wireless reso…