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Deep FPF: Gain function approximation in high-dimensional setting., , и . CDC, стр. 4790-4795. IEEE, (2020)Attitude estimation with feedback particle filter., , и . CDC, стр. 5440-5445. IEEE, (2016)Optimal Transport-based Nonlinear Filtering in High-dimensional Settings., , , и . CoRR, (2023)Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 1571-1581. PMLR, (2021)Variational Wasserstein gradient flow., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 6185-6215. PMLR, (2022)Feedback particle filter on matrix lie groups., , и . ACC, стр. 2723-2728. IEEE, (2016)Stochastic thermodynamic engines under time-varying temperature profile., , , , и . Autom., (января 2024)Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter., , и . SIAM/ASA J. Uncertain. Quantification, 8 (3): 1090-1117 (2020)A Survey of Feedback Particle Filter and related Controlled Interacting Particle Systems (CIPS)., и . CoRR, (2023)A coupled oscillators-based control architecture for locomotory gaits., , и . CDC, стр. 3487-3492. IEEE, (2014)