Matthew R. O'Shaughnessy

According to our database, Matthew R. O'Shaughnessy authored at least 13 papers between 2016 and 2023.

Collaborative distances:

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

2023

Distance preservation in state-space methods for detecting causal interactions in dynamical systems.

Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher Rozell

CoRR, 2023

PrefGen: Preference Guided Image Generation with Relative Attributes.

Alec Helbling, Christopher J. Rozell, Matthew R. O'Shaughnessy, Kion Fallah

CoRR, 2023

Five policy uses of algorithmic explainability.

Matthew R. O'Shaughnessy

CoRR, 2023

2022

Structure and Causality in Understanding Complex Systems.

Matthew R. O'Shaughnessy

PhD thesis, 2022

Oracle Guided Image Synthesis with Relative Queries.

Alec Helbling, Christopher John Rozell, Matthew R. O'Shaughnessy, Kion Fallah

CoRR, 2022

2021

A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network.

Peter Lawrence Brown, Matthew R. O'Shaughnessy, Christopher Rozell, Justin Romberg, Michael P. Flynn

IEEE J. Solid State Circuits, 2021

2020

Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals.

Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell

IEEE Trans. Signal Process., 2020

Generative causal explanations of black-box classifiers.

Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Christopher Rozell, Mark A. Davenport

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model.

Gregory Canal, Marissa Connor, Jihui Jin, Namrata Nadagouda, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A 17.8MS/s Neural-Network Compressed Sensing Radar Processor in 16nm FinFET CMOS.

Peter Lawrence Brown, Matthew R. O'Shaughnessy, Christopher J. Rozell, Justin Romberg, Michael P. Flynn

Proceedings of the 2020 IEEE Custom Integrated Circuits Conference, 2020

2019

Dynamical System Implementations of Sparse Bayesian Learning.

Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Joint Estimation of Trajectory and Dynamics from Paired Comparisons.

Gregory H. Canal, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2016

Localizing users and items from paired comparisons.

Matthew R. O'Shaughnessy, Mark A. Davenport

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016