Timothy J. O'Shea

According to our database1, Timothy J. O'Shea authored at least 29 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Deep Learning for Wireless Communications.
Proceedings of the Development and Analysis of Deep Learning Architectures, 2020

Deep Learning for Wireless Communications.
CoRR, 2020

2019
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks.
Proceedings of the International Conference on Computing, Networking and Communications, 2019

2018
Over-the-Air Deep Learning Based Radio Signal Classification.
IEEE J. Sel. Top. Signal Process., 2018

Learning a Physical Layer Scheme for the MIMO Interference Channel.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Physical Layer Communications System Design Over-the-Air Using Adversarial Networks.
Proceedings of the 26th European Signal Processing Conference, 2018

Demonstrating Deep Learning Based Communications Systems Over the Air In Practice.
Proceedings of the 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, 2018

2017
An Introduction to Deep Learning for the Physical Layer.
IEEE Trans. Cogn. Commun. Netw., 2017

Learning Approximate Neural Estimators for Wireless Channel State Information.
CoRR, 2017

An Introduction to Machine Learning Communications Systems.
CoRR, 2017

Deep Learning Based MIMO Communications.
CoRR, 2017

Spectral detection and localization of radio events with learned convolutional neural features.
Proceedings of the 25th European Signal Processing Conference, 2017

Deep architectures for modulation recognition.
Proceedings of the 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, 2017

Physical layer deep learning of encodings for the MIMO fading channel.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Semi-Supervised Radio Signal Identification.
CoRR, 2016

A Modest Proposal for Open Market Risk Assessment to Solve the Cyber-Security Problem.
CoRR, 2016

GNU Radio Signal Processing Models for Dynamic Multi-User Burst Modems.
CoRR, 2016

End-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural Networks.
CoRR, 2016

Recurrent Neural Radio Anomaly Detection.
CoRR, 2016

Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent.
CoRR, 2016

Convolutional Radio Modulation Recognition Networks.
CoRR, 2016

Unsupervised representation learning of structured radio communication signals.
Proceedings of the First International Workshop on Sensing, 2016

Learning to communicate: Channel auto-encoders, domain specific regularizers, and attention.
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.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Convolutional Radio Modulation Recognition Networks.
Proceedings of the Engineering Applications of Neural Networks, 2016

Radio transformer networks: Attention models for learning to synchronize in wireless systems.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2014
Demonstrated LLC-layer attack and defense strategies for wireless communication systems.
Proceedings of the IEEE Conference on Communications and Network Security, 2014

Measuring smart jammer strategy efficacy over the air.
Proceedings of the IEEE Conference on Communications and Network Security, 2014

2007
Applications of Machine Learning to Cognitive Radio Networks.
IEEE Wirel. Commun., 2007


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