Matthew R. O'Shaughnessy

14 papers A* 1Misc 1Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Distance preservation in state-space methods for detecting causal interactions in dynamical systems. CoRR Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher Rozell
2023	J	`jnl`	Five policy uses of algorithmic explainability. CoRR Matthew R. O'Shaughnessy
2023	J	`jnl`	PrefGen: Preference Guided Image Generation with Relative Attributes. CoRR Alec Helbling, Christopher J. Rozell, Matthew R. O'Shaughnessy, Kion Fallah
2022	J	`jnl`	Oracle Guided Image Synthesis with Relative Queries. CoRR Alec Helbling, Christopher John Rozell, Matthew R. O'Shaughnessy, Kion Fallah
2022	—	`—`	Structure and Causality in Understanding Complex Systems. Matthew R. O'Shaughnessy
2021	J	`jnl`	A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network. IEEE J. Solid State Circuits Peter Lawrence Brown, Matthew R. O'Shaughnessy, Christopher Rozell, Justin Romberg, Michael P. Flynn
2020	—	`conf`	A 17.8MS/s Neural-Network Compressed Sensing Radar Processor in 16nm FinFET CMOS. CICC Peter Lawrence Brown, Matthew R. O'Shaughnessy, Christopher J. Rozell, Justin Romberg, Michael P. Flynn
2020	A*	`conf`	Generative causal explanations of black-box classifiers. NeurIPS Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Christopher Rozell, Mark A. Davenport
2020	J	`jnl`	Generative causal explanations of black-box classifiers. CoRR Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Mark A. Davenport, Christopher Rozell
2020	J	`jnl`	Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals. IEEE Trans. Signal Process. Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell
2020	Misc	`conf`	The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model. ICASSP Gregory Canal, Marissa Connor, Jihui Jin, Namrata Nadagouda, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport
2019	—	`conf`	Dynamical System Implementations of Sparse Bayesian Learning. CAMSAP Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell
2019	—	`conf`	Joint Estimation of Trajectory and Dynamics from Paired Comparisons. CAMSAP Gregory H. Canal, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport
2016	—	`conf`	Localizing users and items from paired comparisons. MLSP Matthew R. O'Shaughnessy, Mark A. Davenport