Timothy J. O'Shea

According to our database, Timothy J. O'Shea authored at least 41 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Deep Learning Based Uplink Multi-User SIMO Beamforming Design.

Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus

CoRR, 2023

2022

Benchmarking and Interpreting End-to-End Learning of MIMO and Multi-User Communication.

Jinxiang Song, Christian Häger, Jochen Schröder, Timothy J. O'Shea, Erik Agrell, Henk Wymeersch

IEEE Trans. Wirel. Commun., 2022

Scalable Wireless Anomaly Detection with Generative-LSTMs on RF Post-Detection Metadata.

Blake Barnes-Cook, Timothy J. O'Shea

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Efficient Generative Wireless Anomaly Detection for Next Generation Networks.

Gopikrishna Rathinavel, Nikhil Muralidhar, Naren Ramakrishnan, Timothy J. O'Shea

Proceedings of the IEEE Military Communications Conference, 2022

Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback.

Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan

Proceedings of the IEEE International Conference on Data Mining, 2022

SVD-Embedded Deep Autoencoder for MIMO Communications.

Xinliang Zhang, Mojtaba Vaezi, Timothy J. O'Shea

Proceedings of the IEEE International Conference on Communications, 2022

2021

IEEE TCCN Special Section Editorial: Machine Learning and Artificial Intelligence for the Physical Layer.

Chunxiao Jiang, Guoru Ding, Aly El Gamal, Andrea Zanella, Oliver Holland, Tim O'Shea

IEEE Trans. Cogn. Commun. Netw., 2021

A Wideband Signal Recognition Dataset.

Nathan E. West, Timothy J. O'Shea, Tamoghna Roy

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

2020

Deep Learning for Wireless Communications.

Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy

Proceedings of the Development and Analysis of Deep Learning Architectures, 2020

Special issue on advances and applications of artificial intelligence and machine learning for wireless communications.

H. Birkan Yilmaz, Chan-Byoung Chae, Yansha Deng, Tim O'Shea, Linglong Dai, Namyoon Lee, Jakob Hoydis

J. Commun. Networks, 2020

Deep Learning for Wireless Communications.

Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy

CoRR, 2020

Benchmarking End-to-end Learning of MIMO Physical-Layer Communication.

Jinxiang Song, Christian Häger, Jochen Schröder, Tim O'Shea, Henk Wymeersch

Proceedings of the IEEE Global Communications Conference, 2020

2019

Generative Adversarial Radio Spectrum Networks.

Tamoghna Roy, Tim O'Shea, Nathan E. West

Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 2019

Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks.

Timothy J. O'Shea, Tamoghna Roy, Nathan E. West

Proceedings of the International Conference on Computing, Networking and Communications, 2019

2018

Over-the-Air Deep Learning Based Radio Signal Classification.

Timothy J. O'Shea, Tamoghna Roy, T. Charles Clancy

IEEE J. Sel. Top. Signal Process., 2018

Learning a Physical Layer Scheme for the MIMO Interference Channel.

Tugba Erpek, Timothy J. O'Shea, T. Charles Clancy

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Physical Layer Communications System Design Over-the-Air Using Adversarial Networks.

Timothy J. O'Shea, Tamoghna Roy, Nathan E. West, Benjamin C. Hilburn

Proceedings of the 26th European Signal Processing Conference, 2018

Demonstrating Deep Learning Based Communications Systems Over the Air In Practice.

Timothy J. O'Shea, Tamoghna Roy, Nathan E. West, Benjamin C. Hilburn

Proceedings of the 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, 2018

2017

An Introduction to Deep Learning for the Physical Layer.

Timothy J. O'Shea, Jakob Hoydis

IEEE Trans. Cogn. Commun. Netw., 2017

An Introduction to Machine Learning Communications Systems.

Timothy J. O'Shea, Jakob Hoydis

CoRR, 2017

Deep Learning Based MIMO Communications.

Timothy J. O'Shea, Tugba Erpek, T. Charles Clancy

CoRR, 2017

Learning approximate neural estimators for wireless channel state information.

Tim O'Shea, Kiran Karra, T. Charles Clancy

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Spectral detection and localization of radio events with learned convolutional neural features.

Timothy J. O'Shea, Tamoghna Roy, Tugba Erpek

Proceedings of the 25th European Signal Processing Conference, 2017

Deep architectures for modulation recognition.

Nathan E. West, Timothy J. O'Shea

Proceedings of the 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, 2017

Physical layer deep learning of encodings for the MIMO fading channel.

Timothy J. O'Shea, Tugba Erpek, T. Charles Clancy

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Learning robust general radio signal detection using computer vision methods.

Tim O'Shea, Tamoghna Roy, T. Charles Clancy

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Semi-Supervised Radio Signal Identification.

Timothy J. O'Shea, Nathan E. West, Matthew Vondal, T. Charles Clancy

CoRR, 2016

A Modest Proposal for Open Market Risk Assessment to Solve the Cyber-Security Problem.

Timothy J. O'Shea, Adam Mondl, T. Charles Clancy

CoRR, 2016

GNU Radio Signal Processing Models for Dynamic Multi-User Burst Modems.

Timothy J. O'Shea, Kiran Karra

CoRR, 2016

End-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural Networks.

Timothy J. O'Shea, Seth D. Hitefield, Johnathan Corgan

CoRR, 2016

Recurrent Neural Radio Anomaly Detection.

Timothy J. O'Shea, T. Charles Clancy, Robert W. McGwier

CoRR, 2016

Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent.

Timothy J. O'Shea, T. Charles Clancy

CoRR, 2016

Convolutional Radio Modulation Recognition Networks.

Timothy J. O'Shea, Johnathan Corgan

CoRR, 2016

Unsupervised representation learning of structured radio communication signals.

Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy

Proceedings of the First International Workshop on Sensing, 2016

Learning to communicate: Channel auto-encoders, domain specific regularizers, and attention.

Timothy J. O'Shea, Kiran Karra, T. Charles Clancy

Proceedings of the 2016 IEEE International Symposium on Signal Processing and Information Technology, 2016

End-to-end radio traffic sequence recognition with recurrent neural networks.

Timothy J. O'Shea, Seth D. Hitefield, Johnathan Corgan

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Convolutional Radio Modulation Recognition Networks.

Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy

Proceedings of the Engineering Applications of Neural Networks, 2016

Radio transformer networks: Attention models for learning to synchronize in wireless systems.

Timothy J. O'Shea, Latha Pemula, Dhruv Batra, T. Charles Clancy

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2014

Demonstrated LLC-layer attack and defense strategies for wireless communication systems.

Seth D. Hitefield, Vieny Nguyen, C. Carlson, Timothy J. O'Shea, T. Charles Clancy

Proceedings of the IEEE Conference on Communications and Network Security, 2014

Measuring smart jammer strategy efficacy over the air.

C. Carlson, Vieny Nguyen, Seth D. Hitefield, Timothy J. O'Shea, T. Charles Clancy

Proceedings of the IEEE Conference on Communications and Network Security, 2014

2007

Applications of Machine Learning to Cognitive Radio Networks.

Charles Clancy, Joe Hecker, Erich P. Stuntebeck, Timothy J. O'Shea

IEEE Wirel. Commun., 2007