| Generative causal explanations of black-box classifiers M O'Shaughnessy, G Canal, M Connor, M Davenport, C Rozell 2020 Conference on Neural Information Processing Systems (NeurIPS), 2020 | 75 | 2020 |
| Cingulate dynamics track depression recovery with deep brain stimulation S Alagapan, KS Choi, S Heisig, P Riva-Posse, A Crowell, V Tiruvadi, ... Nature 622 (7981), 130-138, 2023 | 64 | 2023 |
| What governs attitudes toward artificial intelligence adoption and governance? M O'Shaughnessy, D Schiff, LR Varshney, C Rozell, M Davenport Science and Public Policy, 2022 | 30 | 2022 |
| Sparse Bayesian learning with dynamic filtering for inference of time-varying sparse signals MR O’Shaughnessy, MA Davenport, CJ Rozell IEEE Transactions on Signal Processing 68, 388-403, 2019 | 19 | 2019 |
| Localizing users and items from paired comparisons MR O'Shaughnessy, MA Davenport 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 9 | 2016 |
| Neuroethics guidance documents: principles, analysis, and implementation strategies MR O’Shaughnessy, WG Johnson, LN Tournas, CJ Rozell, ... Journal of Law and the Biosciences 10 (2), lsad025, 2023 | 5 | 2023 |
| Real-time, mixed-mode computing architecture for waveform-resolved lidar systems with total propagated uncertainty RL Ortman, DA Carr, R James, D Long, MR O'Shaughnessy, CR Valenta, ... 2016 Conference on Laser Radar Technology and Applications 9832, 98320H, 2016 | 3 | 2016 |
| A 17.8-ms/s compressed sensing radar accelerator using a spiking neural network PL Brown, M O’Shaughnessy, C Rozell, J Romberg, M Flynn IEEE Journal of Solid-State Circuits 56 (3), 834-843, 2020 | 2 | 2020 |
| Joint estimation of trajectory and dynamics from paired comparisons GH Canal, MR O'Shaughnessy, CJ Rozell, MA Davenport 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 2 | 2019 |
| The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model G Canal, M Connor, J Jin, N Nadagouda, M O’Shaughnessy, CJ Rozell, ... 2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020 | 1 | 2020 |
| A 17.8 MS/s Neural-Network Compressed Sensing Radar Processor in 16nm FinFET CMOS P Brown, M O'Shaugnessy, C Rozell, J Romberg, M Flynn 2020 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2020 | 1 | 2020 |
| Distance preservation in state-space methods for detecting causal interactions in dynamical systems M O'Shaughnessy, M Davenport, C Rozell arXiv preprint arXiv:2308.06855, 2023 | | 2023 |
| Methods for generating and providing causal explanations of artificial intelligence models and devices thereof M O'shaughnessy, G Canal, M Connor, M Davenport, CJ Rozell US Patent App. 18/011,629, 2023 | | 2023 |
| PrefGen: Preference Guided Image Generation with Relative Attributes A Helbling, CJ Rozell, M O'Shaughnessy, K Fallah arXiv preprint arXiv:2304.00185, 2023 | | 2023 |
| Five policy uses of algorithmic transparency and explainability M O'Shaughnessy arXiv preprint arXiv:2302.03080, 2023 | | 2023 |
| Five policy uses of algorithmic explainability. MR O'Shaughnessy CoRR, 2023 | | 2023 |
| Oracle Guided Image Synthesis with Relative Queries A Helbling, CJ Rozell, M O'Shaughnessy, K Fallah arXiv preprint arXiv:2204.14189, 2022 | | 2022 |
| Structure and Causality in Understanding Complex Systems MR O'Shaughnessy Georgia Institute of Technology, 2021 | | 2021 |
| Dynamical System Implementations of Sparse Bayesian Learning MR O'Shaughnessy, MA Davenport, CJ Rozell 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | | 2019 |
| Robust Incorporation of Signal Predictions into the Sparse Bayesian Learning Framework MR O’Shaughnessy, MA Davenport, CJ Rozell 2019 Workshop on Signal Processing with Adaptive Sparse Structured …, 0 | | |
Christopher RozellJulian T. Hightower Chaired Professor of Electrical & Computer Engineering, Georgia Tech在 gatech.edu 的电子邮件经过验证
