Sagar Shrestha

CoRR, 2024

2023

A Roll-to-Roll Gravure-Printing System for Manufacturing Near-Field Energy-Harvesting Labels.

[BibT_eX]

[DOI]

Adv. Intell. Syst., December, 2023

Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Quantized Radio Map Estimation Using Tensor and Deep Generative Models.

[BibT_eX]

[DOI]

Subash Timilsina

CoRR, 2023

Deep Spectrum Cartography Using Quantized Measurements.

[BibT_eX]

[DOI]

Subash Timilsina

Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Efficient and Optimal Joint Beamforming and Antenna Selection: A Machine Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Communication-Efficient Distributed MAX-VAR Generalized CCA via Error Feedback-Assisted Quantization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Communication-Efficient Distributed Linear and Deep Generalized Canonical Correlation Analysis.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Generative Model Learning For Blind Spectrum Cartography with NMF-Based Radio Map Disaggregation.

[BibT_eX]

[DOI]