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Timothy J. O'Shea
Person information
- affiliation: Virginia Tech, Arlington, USA
- affiliation: DeepSig, Inc., Arlington, USA
Other persons with the same name
- Tim O'Shea — disambiguation page
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2020 – today
- 2024
- [c25]Majumder Haider, Imtiaz Ahmed, Fadel Lashhab, Tim O'Shea, Danda B. Rawat, Mohammad Matin:
Data-Driven Design for IRS-Assisted Massive Multi-Modal Sensing in Industry 5.0. ICC Workshops 2024: 632-637 - [c24]Padmaksha Roy
, Himanshu Singhal
Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data. PAKDD (1) 2024: 66-77 - [i23]Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus:
Deep Learning Based Joint Multi-User MISO Power Allocation and Beamforming Design. CoRR abs/2406.08373 (2024) - 2023
- [i22]Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus:
Deep Learning Based Uplink Multi-User SIMO Beamforming Design. CoRR abs/2309.16603 (2023) - 2022
- [j6]Jinxiang Song
Benchmarking and Interpreting End-to-End Learning of MIMO and Multi-User Communication. IEEE Trans. Wirel. Commun. 21(9): 7287-7298 (2022) - [c23]Xinliang Zhang, Mojtaba Vaezi, Timothy J. O'Shea:
SVD-Embedded Deep Autoencoder for MIMO Communications. ICC 2022: 5190-5195 - [c22]Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan:
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. ICDM 2022: 1161-1166 - [c21]Gopikrishna Rathinavel, Nikhil Muralidhar, Naren Ramakrishnan, Timothy J. O'Shea:
Efficient Generative Wireless Anomaly Detection for Next Generation Networks. MILCOM 2022: 594-599 - [c20]Blake Barnes-Cook, Timothy J. O'Shea:
Scalable Wireless Anomaly Detection with Generative-LSTMs on RF Post-Detection Metadata. WCNC 2022: 483-488 - [i21]Jinxiang Song, Christian Häger, Jochen Schröder, Timothy J. O'Shea, Erik Agrell, Henk Wymeersch:
Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication. CoRR abs/2203.07703 (2022) - [i20]Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. CoRR abs/2210.02841 (2022) - 2021
- [j5]Chunxiao Jiang, Guoru Ding
IEEE TCCN Special Section Editorial: Machine Learning and Artificial Intelligence for the Physical Layer. IEEE Trans. Cogn. Commun. Netw. 7(1): 1-4 (2021) - [c19]Nathan E. West, Timothy J. O'Shea, Tamoghna Roy:
A Wideband Signal Recognition Dataset. SPAWC 2021: 6-10 - [i19]Xinliang Zhang, Mojtaba Vaezi, Timothy J. O'Shea:
SVD-Embedded Deep Autoencoder for MIMO Communications. CoRR abs/2111.02359 (2021) - 2020
- [j4]H. Birkan Yilmaz
Special issue on advances and applications of artificial intelligence and machine learning for wireless communications. J. Commun. Networks 22(3): 173-176 (2020) - [c18]Jinxiang Song, Christian Häger, Jochen Schröder, Tim O'Shea, Henk Wymeersch
Benchmarking End-to-end Learning of MIMO Physical-Layer Communication. GLOBECOM 2020: 1-6 - [p1]Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu, Yi Shi
Deep Learning for Wireless Communications. Development and Analysis of Deep Learning Architectures 2020: 223-266 - [i18]Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy:
Deep Learning for Wireless Communications. CoRR abs/2005.06068 (2020)
2010 – 2019
- 2019
- [c17]Timothy J. O'Shea, Tamoghna Roy, Nathan E. West:
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks. ICNC 2019: 681-686 - [c16]Tamoghna Roy, Tim O'Shea, Nathan E. West:
Generative Adversarial Radio Spectrum Networks. WiseML@WiSec 2019: 12-15 - 2018
- [j3]Timothy J. O'Shea
Over-the-Air Deep Learning Based Radio Signal Classification. IEEE J. Sel. Top. Signal Process. 12(1): 168-179 (2018) - [c15]Timothy J. O'Shea, Tamoghna Roy, Nathan E. West, Benjamin C. Hilburn:
Demonstrating Deep Learning Based Communications Systems Over the Air In Practice. DySPAN 2018: 1-2 - [c14]Timothy J. O'Shea, Tamoghna Roy, Nathan E. West, Benjamin C. Hilburn:
Physical Layer Communications System Design Over-the-Air Using Adversarial Networks. EUSIPCO 2018: 529-532 - [c13]Tugba Erpek, Timothy J. O'Shea, T. Charles Clancy:
Learning a Physical Layer Scheme for the MIMO Interference Channel. ICC 2018: 1-5 - [i17]Timothy J. O'Shea, Tamoghna Roy, Nathan E. West, Benjamin C. Hilburn:
Physical Layer Communications System Design Over-the-Air Using Adversarial Networks. CoRR abs/1803.03145 (2018) - [i16]Timothy J. O'Shea, Tamoghna Roy, Nathan E. West:
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks. CoRR abs/1805.06350 (2018) - 2017
- [b1]Timothy J. O'Shea:
Learning from Data in Radio Algorithm Design. Virginia Tech, Blacksburg, VA, USA, 2017 - [j2]Timothy J. O'Shea
An Introduction to Deep Learning for the Physical Layer. IEEE Trans. Cogn. Commun. Netw. 3(4): 563-575 (2017) - [c12]Tim O'Shea, Tamoghna Roy, T. Charles Clancy:
Learning robust general radio signal detection using computer vision methods. ACSSC 2017: 829-832 - [c11]Timothy J. O'Shea, Tugba Erpek, T. Charles Clancy:
Physical layer deep learning of encodings for the MIMO fading channel. Allerton 2017: 76-80 - [c10]Nathan E. West
Deep architectures for modulation recognition. DySPAN 2017: 1-6 - [c9]Timothy J. O'Shea, Tamoghna Roy, Tugba Erpek:
Spectral detection and localization of radio events with learned convolutional neural features. EUSIPCO 2017: 331-335 - [c8]Tim O'Shea, Kiran Karra, T. Charles Clancy:
Learning approximate neural estimators for wireless channel state information. MLSP 2017: 1-7 - [i15]Timothy J. O'Shea, Jakob Hoydis:
An Introduction to Machine Learning Communications Systems. CoRR abs/1702.00832 (2017) - [i14]Nathan E. West, Timothy J. O'Shea:
Deep Architectures for Modulation Recognition. CoRR abs/1703.09197 (2017) - [i13]Timothy J. O'Shea, Kiran Karra, T. Charles Clancy:
Learning Approximate Neural Estimators for Wireless Channel State Information. CoRR abs/1707.06260 (2017) - [i12]Timothy J. O'Shea, Tugba Erpek, T. Charles Clancy:
Deep Learning Based MIMO Communications. CoRR abs/1707.07980 (2017) - [i11]Timothy J. O'Shea, Tamoghna Roy, T. Charles Clancy:
Over the Air Deep Learning Based Radio Signal Classification. CoRR abs/1712.04578 (2017) - 2016
- [c7]Timothy J. O'Shea, Latha Pemula, Dhruv Batra, T. Charles Clancy:
Radio transformer networks: Attention models for learning to synchronize in wireless systems. ACSSC 2016: 662-666 - [c6]Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy:
Convolutional Radio Modulation Recognition Networks. EANN 2016: 213-226 - [c5]Timothy J. O'Shea, Seth D. Hitefield, Johnathan Corgan:
End-to-end radio traffic sequence recognition with recurrent neural networks. GlobalSIP 2016: 277-281 - [c4]Timothy J. O'Shea, Kiran Karra, T. Charles Clancy:
Learning to communicate: Channel auto-encoders, domain specific regularizers, and attention. ISSPIT 2016: 223-228 - [c3]Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy:
Unsupervised representation learning of structured radio communication signals. SPLINE 2016: 1-5 - [i10]Timothy J. O'Shea, Johnathan Corgan:
Convolutional Radio Modulation Recognition Networks. CoRR abs/1602.04105 (2016) - [i9]Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy:
Unsupervised Representation Learning of Structured Radio Communication Signals. CoRR abs/1604.07078 (2016) - [i8]Timothy J. O'Shea, Kiran Karra:
GNU Radio Signal Processing Models for Dynamic Multi-User Burst Modems. CoRR abs/1604.08397 (2016) - [i7]Timothy J. O'Shea, Adam Mondl, T. Charles Clancy:
A Modest Proposal for Open Market Risk Assessment to Solve the Cyber-Security Problem. CoRR abs/1604.08675 (2016) - [i6]Timothy J. O'Shea, Latha Pemula, Dhruv Batra, T. Charles Clancy:
Radio Transformer Networks: Attention Models for Learning to Synchronize in Wireless Systems. CoRR abs/1605.00716 (2016) - [i5]Timothy J. O'Shea, T. Charles Clancy:
Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent. CoRR abs/1605.09221 (2016) - [i4]Timothy J. O'Shea, Kiran Karra, T. Charles Clancy:
Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention. CoRR abs/1608.06409 (2016) - [i3]Timothy J. O'Shea, Seth D. Hitefield, Johnathan Corgan:
End-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural Networks. CoRR abs/1610.00564 (2016) - [i2]Timothy J. O'Shea, T. Charles Clancy, Robert W. McGwier:
Recurrent Neural Radio Anomaly Detection. CoRR abs/1611.00301 (2016) - [i1]Timothy J. O'Shea, Nathan E. West, Matthew Vondal, T. Charles Clancy:
Semi-Supervised Radio Signal Identification. CoRR abs/1611.00303 (2016) - 2014
- [c2]C. Carlson, Vieny Nguyen, Seth D. Hitefield, Timothy J. O'Shea, T. Charles Clancy:
Measuring smart jammer strategy efficacy over the air. CNS 2014: 7-13 - [c1]Seth D. Hitefield, Vieny Nguyen, C. Carlson, Timothy J. O'Shea, T. Charles Clancy:
Demonstrated LLC-layer attack and defense strategies for wireless communication systems. CNS 2014: 60-66
2000 – 2009
- 2007
- [j1]Charles Clancy, Joe Hecker, Erich P. Stuntebeck, Timothy J. O'Shea:
Applications of Machine Learning to Cognitive Radio Networks. IEEE Wirel. Commun. 14(4): 47-52 (2007)
Coauthor Index
aka: Charles Clancy
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