Adrian N. Bishop

Computer Science · Physical Sciences

27h-index2.7kcitations128works0.02yr avg
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Research Topics

Target Tracking and Data Fusion in Sensor Networks(55), Indoor and Outdoor Localization Technologies(27), Distributed Control Multi-Agent Systems(25), Distributed Sensor Networks and Detection Algorithms(23), Robotics and Sensor-Based Localization(14)

Publications128 total

Recurrent Neural Networks and (Time-Uniform) Universal Approximation of Bayesian Filters
IEEE Transactions on Automatic Control·2026Open Access
On the mathematical theory of ensemble (linear-Gaussian) Kalman–Bucy filtering
Mathematics of Control Signals and Systems·2023· 17 citedOpen Access
Robust Kalman and Bayesian Set-Valued Filtering and Model Validation for Linear Stochastic Systems
SIAM/ASA Journal on Uncertainty Quantification·2023· 1 citedOpen Access
A treatment planning system for manifold multi-ion particle therapy
Research Square (Research Square)·2022Open Access
Universal Time-Uniform Trajectory Approximation for Random Dynamical Systems with Recurrent Neural Networks
arXiv (Cornell University)·2022· 1 citedOpen Access
Recurrent Neural Networks and Universal Approximation of Bayesian Filters
arXiv (Cornell University)·2022· 1 citedOpen Access
Modeling and Detecting Communities in Node Attributed Networks
IEEE Transactions on Knowledge and Data Engineering·2022· 5 cited
Modeling and Detecting Communities in Node Attributed Networks
arXiv (Cornell University)·2021Open Access
Network Consensus in the Wasserstein Metric Space of Probability Measures
SIAM Journal on Control and Optimization·2021· 7 citedOpen Access
Backward Nonlinear Smoothing Diffusions
Theory of Probability and Its Applications·2021· 2 cited
Backward nonlinear smoothing diffusions
Теория вероятностей и ее применения·2021· 1 citedOpen Access
A multilevel approach for stochastic nonlinear optimal control
International Journal of Control·2020Open Access
On the Mathematical Theory of Ensemble (Linear-Gaussian) Kalman-Bucy Filtering
arXiv (Cornell University)·2020· 3 citedOpen Access
A perturbation analysis of stochastic matrix Riccati diffusions
Annales de l Institut Henri Poincaré Probabilités et Statistiques·2020· 8 citedOpen Access
Backward Nonlinear Smoothing Diffusions
arXiv (Cornell University)·2019Open Access
Distributed Power Mean Fusion
2019
An Introduction to Wishart Matrix Moments
Foundations and Trends® in Machine Learning·2018· 18 citedOpen Access
On the robustness of Riccati flows to complete model misspecification
Journal of the Franklin Institute·2018· 4 cited
Spatio-temporal tracking from natural language statements using outer probability theory
Information Sciences·2018· 15 cited
Homogeneous functionals and Bayesian data fusion with unknown correlation
Information Fusion·2018· 33 cited
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Frequent Co-authors

Brian D. O. Anderson(14), Pubudu N. Pathirana(11), Barış Fi̇dan(6), Patric Jensfelt(6), Iman Shames(6), Pierre Del Moral(6), Kutluyıl Doğançay(5), Andrey V. Savkin(4), Branko Ristić(3), Angèle Niclas(3), Meysam Basiri(2), Jinliang Shao(2), Wei Xing Zheng(2), Ting‐Zhu Huang(2), Matthew Smith(2), Jérémie Houssineau(2), Randal Douc(2), Tyler Summers(2), Andrzej Pronobis(2), Kristoffer Sjöö(2)