Timothy J. O'Shea

57 papers A* 1B 2C 1Misc 2Journal 32Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference. CoRR Majumder Haider, Imtiaz Ahmed, Zoheb Hassan, Timothy J. O'Shea, Lingjia Liu, Danda B. Rawat
2025	J	`jnl`	Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference. IEEE Commun. Lett. Majumder Haider, Imtiaz Ahmed, Zoheb Hassan, Timothy J. O'Shea, Lingjia Liu, Danda B. Rawat
2025	J	`jnl`	Neural Beamforming with Doppler-Aware Sparse Attention for High Mobility Environments. CoRR Cemil Vahapoglu, Timothy J. O'Shea, Wan Liu, Sennur Ulukus
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	—	`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	—	`conf`	How Critical is Site-Specific RAN Optimization? 5G Open-RAN Uplink Air Interface Performance Test and Optimization from Macro-Cell CIR Data. VTC Fall Johnathan Corgan, Nitin Nair, Rajib Bhattacharjea, Wan Liu, Serhat Tadik, Tom Tsou, Timothy J. O'Shea
2024	J	`jnl`	How Critical is Site-Specific RAN Optimization? 5G Open-RAN Uplink Air Interface Performance Test and Optimization from Macro-Cell CIR Data. CoRR Johnathan Corgan, Nitin Nair, Rajib Bhattacharjea, Wan Liu, Serhat Tadik, Tom Tsou, Timothy J. O'Shea
2024	—	`conf`	Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data. PAKDD (1) Padmaksha Roy, Himanshu Singhal, Timothy J. O'Shea, Ming Jin
2023	J	`jnl`	Deep Learning Based Uplink Multi-User SIMO Beamforming Design. CoRR Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus
2022	J	`jnl`	Benchmarking and Interpreting End-to-End Learning of MIMO and Multi-User Communication. IEEE Trans. Wirel. Commun. Jinxiang Song, Christian Häger, Jochen Schröder, Timothy J. O'Shea, Erik Agrell, Henk Wymeersch
2022	J	`jnl`	Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication. CoRR Jinxiang Song, Christian Häger, Jochen Schröder, Timothy J. O'Shea, Erik Agrell, Henk Wymeersch
2022	A*	`conf`	Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. ICDM Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan
2022	J	`jnl`	Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. CoRR Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan
2022	—	`conf`	Efficient Generative Wireless Anomaly Detection for Next Generation Networks. MILCOM Gopikrishna Rathinavel, Nikhil Muralidhar, Naren Ramakrishnan, Timothy J. O'Shea
2022	—	`conf`	SVD-Embedded Deep Autoencoder for MIMO Communications. ICC Xinliang Zhang, Mojtaba Vaezi, Timothy J. O'Shea
2022	B	`conf`	Scalable Wireless Anomaly Detection with Generative-LSTMs on RF Post-Detection Metadata. WCNC Blake Barnes-Cook, Timothy J. O'Shea
2021	—	`conf`	A Wideband Signal Recognition Dataset. SPAWC Nathan E. West, Timothy J. O'Shea, Tamoghna Roy
2021	J	`jnl`	SVD-Embedded Deep Autoencoder for MIMO Communications. CoRR Xinliang Zhang, Mojtaba Vaezi, Timothy J. O'Shea
2020	J	`jnl`	Deep Learning for Wireless Communications. CoRR Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy
2020	—	`ch.`	Deep Learning for Wireless Communications. Development and Analysis of Deep Learning Architectures Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy
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
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	—	`conf`	Learning a Physical Layer Scheme for the MIMO Interference Channel. ICC Tugba Erpek, Timothy J. O'Shea, T. Charles Clancy
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
2017	J	`jnl`	An Introduction to Deep Learning for the Physical Layer. IEEE Trans. Cogn. Commun. Netw. Timothy J. O'Shea, Jakob Hoydis
2017	J	`jnl`	An Introduction to Machine Learning Communications Systems. CoRR Timothy J. O'Shea, Jakob Hoydis
2017	J	`jnl`	Deep Architectures for Modulation Recognition. CoRR Nathan E. West, Timothy J. O'Shea
2017	J	`jnl`	Deep Learning Based MIMO Communications. CoRR Timothy J. O'Shea, Tugba Erpek, T. Charles Clancy
2017	—	`conf`	Deep architectures for modulation recognition. DySPAN Nathan E. West, Timothy J. O'Shea
2017	J	`jnl`	Learning Approximate Neural Estimators for Wireless Channel State Information. CoRR Timothy J. O'Shea, Kiran Karra, T. Charles Clancy
2017	—	`—`	Learning from Data in Radio Algorithm Design. Timothy J. O'Shea
2017	J	`jnl`	Over the Air Deep Learning Based Radio Signal Classification. CoRR Timothy J. O'Shea, Tamoghna Roy, T. Charles Clancy
2017	—	`conf`	Physical layer deep learning of encodings for the MIMO fading channel. Allerton Timothy J. O'Shea, Tugba Erpek, 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
2016	J	`jnl`	A Modest Proposal for Open Market Risk Assessment to Solve the Cyber-Security Problem. CoRR Timothy J. O'Shea, Adam Mondl, T. Charles Clancy
2016	C	`conf`	Convolutional Radio Modulation Recognition Networks. EANN Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy
2016	J	`jnl`	Convolutional Radio Modulation Recognition Networks. CoRR Timothy J. O'Shea, Johnathan Corgan
2016	J	`jnl`	Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent. CoRR Timothy J. O'Shea, T. Charles Clancy
2016	J	`jnl`	End-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural Networks. CoRR Timothy J. O'Shea, Seth D. Hitefield, Johnathan Corgan
2016	—	`conf`	End-to-end radio traffic sequence recognition with recurrent neural networks. GlobalSIP Timothy J. O'Shea, Seth D. Hitefield, Johnathan Corgan
2016	J	`jnl`	GNU Radio Signal Processing Models for Dynamic Multi-User Burst Modems. CoRR Timothy J. O'Shea, Kiran Karra
2016	J	`jnl`	Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention. CoRR Timothy J. O'Shea, Kiran Karra, T. Charles Clancy
2016	—	`conf`	Learning to communicate: Channel auto-encoders, domain specific regularizers, and attention. ISSPIT Timothy J. O'Shea, Kiran Karra, T. Charles Clancy
2016	J	`jnl`	Radio Transformer Networks: Attention Models for Learning to Synchronize in Wireless Systems. CoRR Timothy J. O'Shea, Latha Pemula, Dhruv Batra, T. Charles Clancy
2016	Misc	`conf`	Radio transformer networks: Attention models for learning to synchronize in wireless systems. ACSSC Timothy J. O'Shea, Latha Pemula, Dhruv Batra, T. Charles Clancy
2016	J	`jnl`	Recurrent Neural Radio Anomaly Detection. CoRR Timothy J. O'Shea, T. Charles Clancy, Robert W. McGwier
2016	J	`jnl`	Semi-Supervised Radio Signal Identification. CoRR Timothy J. O'Shea, Nathan E. West, Matthew Vondal, T. Charles Clancy
2016	J	`jnl`	Unsupervised Representation Learning of Structured Radio Communication Signals. CoRR Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy
2016	—	`conf`	Unsupervised representation learning of structured radio communication signals. SPLINE Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy
2014	—	`conf`	Demonstrated LLC-layer attack and defense strategies for wireless communication systems. CNS Seth D. Hitefield, Vieny Nguyen, C. Carlson, Timothy J. O'Shea, T. Charles Clancy
2014	—	`conf`	Measuring smart jammer strategy efficacy over the air. CNS C. Carlson, Vieny Nguyen, Seth D. Hitefield, Timothy J. O'Shea, T. Charles Clancy
2007	J	`jnl`	Applications of Machine Learning to Cognitive Radio Networks. IEEE Wirel. Commun. Charles Clancy, Joe Hecker, Erich P. Stuntebeck, Timothy J. O'Shea