Funder
ANR
H2020 European Research Council
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science
Reference37 articles.
1. Barber, D., Bishop, C.: Ensemble learning in Bayesian neural networks. In: Generalization in Neural Networks and Machine Learning, pp. 215–237. (1998)
2. Barfoot, T.D., Forbes, J.R., Yoon, D.J.: Exactly sparse gaussian variational inference with application to derivative-free batch nonlinear state estimation. Int. J. Robot. Res. 39(13), 1473–1502 (2020)
3. Barrau, A., Bonnabel, S.: Navigating with highly precise odometry and noisy GPS: a case study. IFAC-PapersOnLine 49(18), 618–623 (2016)
4. Barrau, A., Bonnabel, S.: Invariant Kalman filtering. Ann. Rev. Control Robot. Auton. Syst. 1, 237–257 (2018)
5. Bertsekas, D.P.: Incremental least squares methods and the extended Kalman filter. SIAM J. Optim. 6(3), 807–822 (1996)
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