Tamoghna Roy - RankMe

23 papers B 1C 1Misc 3Journal 9Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Transformer-Driven Neural Beamforming with Imperfect CSI in Urban Macro Wireless Channels. PIMRC Cemil Vahapoglu, Timothy J. O'Shea, Wan Liu, Tamoghna Roy, Sennur Ulukus
2025	J	`jnl`	Transformer-Driven Neural Beamforming with Imperfect CSI in Urban Macro Wireless Channels. CoRR Cemil Vahapoglu, Timothy J. O'Shea, Wan Liu, Tamoghna Roy, Sennur Ulukus
2024	J	`jnl`	Decoding the Diversity: A Review of the Indic AI Research Landscape. CoRR Sankalp KJ, Vinija Jain, Sreyoshi Bhaduri, Tamoghna Roy, Aman Chadha
2024	—	`conf`	Deep Learning Based Joint Multi-User MISO Power Allocation and Beamforming Design. MILCOM Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus
2024	J	`jnl`	Deep Learning Based Joint Multi-User MISO Power Allocation and Beamforming Design. CoRR Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus
2024	J	`jnl`	Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications. CoRR Charith Chandra Sai Balne, Sreyoshi Bhaduri, Tamoghna Roy, Vinija Jain, Aman Chadha
2023	J	`jnl`	Deep Learning Based Uplink Multi-User SIMO Beamforming Design. CoRR Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus
2021	—	`conf`	A Wideband Signal Recognition Dataset. SPAWC Nathan E. West, Timothy J. O'Shea, Tamoghna Roy
2020	—	`conf`	MSE Analysis of Bi-scale LMS Used for Narrowband Interference Cancellation. LATINCOM Tamoghna Roy, Takeshi Ikuma, A. A. Louis Beex
2019	Misc	`conf`	Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks. ICNC Timothy J. O'Shea, Tamoghna Roy, Nathan E. West
2019	—	`conf`	Generative Adversarial Radio Spectrum Networks. WiseML@WiSec Tamoghna Roy, Tim O'Shea, Nathan E. West
2018	J	`jnl`	Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks. CoRR Timothy J. O'Shea, Tamoghna Roy, Nathan E. West
2018	—	`conf`	Demonstrating Deep Learning Based Communications Systems Over the Air In Practice. DySPAN Timothy J. O'Shea, Tamoghna Roy, Nathan E. West, Benjamin C. Hilburn
2018	—	`—`	Non-Wiener Characteristics of LMS Adaptive Equalizers: A Bit Error Rate Perspective. Tamoghna Roy
2018	J	`jnl`	Over-the-Air Deep Learning Based Radio Signal Classification. IEEE J. Sel. Top. Signal Process. Timothy J. O'Shea, Tamoghna Roy, T. Charles Clancy
2018	—	`conf`	Physical Layer Communications System Design Over-the-Air Using Adversarial Networks. EUSIPCO Timothy J. O'Shea, Tamoghna Roy, Nathan E. West, Benjamin C. Hilburn
2018	J	`jnl`	Physical Layer Communications System Design Over-the-Air Using Adversarial Networks. CoRR Timothy J. O'Shea, Tamoghna Roy, Nathan E. West, Benjamin C. Hilburn
2018	—	`conf`	Power Measurement Based Code Classification for Programmable Logic Circuits. ISSPIT Tamoghna Roy, A. A. Louis Beex
2017	C	`conf`	A word-space visualization approach to study college of engineering mission statements. FIE Sreyoshi Bhaduri, Tamoghna Roy
2017	Misc	`conf`	Learning robust general radio signal detection using computer vision methods. ACSSC Tim O'Shea, Tamoghna Roy, T. Charles Clancy
2017	J	`jnl`	Over the Air Deep Learning Based Radio Signal Classification. CoRR Timothy J. O'Shea, Tamoghna Roy, T. Charles Clancy
2017	—	`conf`	Spectral detection and localization of radio events with learned convolutional neural features. EUSIPCO Timothy J. O'Shea, Tamoghna Roy, Tugba Erpek
2013	Misc	`conf`	BER modeling for interference canceling FIR Wiener equalizer. ICNC Tamoghna Roy, A. A. (Louis) Beex