Amirhossein Taghvaei
Amirhossein Taghvaei
Postdoctoral Scholar, University of California Irvine
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
Kalman filter and its modern extensions for the continuous-time nonlinear filtering problem
A Taghvaei, J De Wiljes, PG Mehta, S Reich
Journal of Dynamic Systems, Measurement, and Control 140 (3), 2018
242018
Gain function approximation in the feedback particle filter
A Taghvaei, PG Mehta
2016 IEEE 55th Conference on Decision and Control (CDC), 5446-5452, 2016
242016
An optimal transport formulation of the linear feedback particle filter
A Taghvaei, PG Mehta
2016 American Control Conference (ACC), 3614-3619, 2016
202016
Accelerated flow for probability distributions
A Taghvaei, P Mehta
International Conference on Machine Learning, 6076-6085, 2019
152019
Feedback particle filter on matrix Lie groups
C Zhang, A Taghvaei, PG Mehta
2016 American Control Conference (ACC), 2723-2728, 2016
122016
Optimal transport mapping via input convex neural networks
A Makkuva, A Taghvaei, S Oh, J Lee
International Conference on Machine Learning, 6672-6681, 2020
112020
How regularization affects the critical points in linear networks
A Taghvaei, JW Kim, PG Mehta
arXiv preprint arXiv:1709.09625, 2017
102017
2-wasserstein approximation via restricted convex potentials with application to improved training for gans
A Taghvaei, A Jalali
arXiv preprint arXiv:1902.07197, 2019
92019
Feedback particle filter on Riemannian manifolds and matrix lie groups
C Zhang, A Taghvaei, PG Mehta
IEEE Transactions on Automatic Control 63 (8), 2465-2480, 2017
92017
Error estimates for the kernel gain function approximation in the feedback particle filter
A Taghvaei, PG Mehta, SP Meyn
2017 American Control Conference (ACC), 4576-4582, 2017
92017
Diffusion map-based algorithm for gain function approximation in the feedback particle filter
A Taghvaei, PG Mehta, SP Meyn
SIAM/ASA Journal on Uncertainty Quantification 8 (3), 1090-1117, 2020
82020
Attitude estimation with feedback particle filter
C Zhang, A Taghvaei, PG Mehta
2016 IEEE 55th Conference on Decision and Control (CDC), 5440-5445, 2016
82016
A coupled oscillators-based control architecture for locomotory gaits
A Taghvaei, SA Hutchinson, PG Mehta
53rd IEEE Conference on Decision and Control, 3487-3492, 2014
82014
Error analysis for the linear feedback particle filter
A Taghvaei, PG Mehta
2018 Annual American Control Conference (ACC), 4261-4266, 2018
62018
A mean-field optimal control formulation for global optimization
C Zhang, A Taghvaei, PG Mehta
IEEE Transactions on Automatic Control 64 (1), 282-289, 2018
52018
Maximal power output of a stochastic thermodynamic engine
R Fu, A Taghvaei, Y Chen, TT Georgiou
Automatica 123, 109366, 2021
42021
Fractional SIR epidemiological models
A Taghvaei, TT Georgiou, L Norton, A Tannenbaum
Scientific Reports 10 (1), 1-15, 2020
42020
An Optimal Transport Formulation of the Ensemble Kalman Filter
A Taghvaei, PG Mehta
IEEE Transactions on Automatic Control, 2020
42020
Scalable computations of wasserstein barycenter via input convex neural networks
J Fan, A Taghvaei, Y Chen
arXiv preprint arXiv:2007.04462, 2020
32020
Error analysis of the stochastic linear feedback particle filter
A Taghvaei, PG Mehta
2018 IEEE Conference on Decision and Control (CDC), 7194-7199, 2018
32018
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