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Amirhossein Taghvaei
Amirhossein Taghvaei
Verified email at uw.edu - Homepage
Title
Cited by
Cited by
Year
Optimal transport mapping via input convex neural networks
A Makkuva, A Taghvaei, S Oh, J Lee
International Conference on Machine Learning, 6672-6681, 2020
1662020
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), 030904, 2018
512018
Scalable computations of wasserstein barycenter via input convex neural networks
J Fan, A Taghvaei, Y Chen
arXiv preprint arXiv:2007.04462, 2020
452020
Variational Wasserstein gradient flow
J Fan, Q Zhang, A Taghvaei, Y Chen
arXiv preprint arXiv:2112.02424, 2021
412021
Fractional SIR epidemiological models
A Taghvaei, TT Georgiou, L Norton, A Tannenbaum
Scientific reports 10 (1), 20882, 2020
342020
2-wasserstein approximation via restricted convex potentials with application to improved training for gans
A Taghvaei, A Jalali
arXiv preprint arXiv:1902.07197, 2019
332019
An optimal transport formulation of the linear feedback particle filter
A Taghvaei, PG Mehta
2016 American Control Conference (ACC), 3614-3619, 2016
332016
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
302017
Accelerated flow for probability distributions
A Taghvaei, P Mehta
International conference on machine learning, 6076-6085, 2019
282019
Gain function approximation in the feedback particle filter
A Taghvaei, PG Mehta
2016 IEEE 55th Conference on Decision and Control (CDC), 5446-5452, 2016
282016
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
242020
Maximal power output of a stochastic thermodynamic engine
R Fu, A Taghvaei, Y Chen, TT Georgiou
Automatica 123, 109366, 2021
232021
Energy harvesting from anisotropic fluctuations
OM Miangolarra, A Taghvaei, R Fu, Y Chen, TT Georgiou
Physical Review E 104 (4), 044101, 2021
222021
An optimal transport formulation of the ensemble Kalman filter
A Taghvaei, PG Mehta
IEEE Transactions on Automatic Control 66 (7), 3052-3067, 2020
222020
An optimal transport formulation of Bayes’ law for nonlinear filtering algorithms
A Taghvaei, B Hosseini
2022 IEEE 61st Conference on Decision and Control (CDC), 6608-6613, 2022
182022
Feedback particle filter on matrix Lie groups
C Zhang, A Taghvaei, PG Mehta
2016 American Control Conference (ACC), 2723-2728, 2016
172016
Geometry of finite-time thermodynamic cycles with anisotropic thermal fluctuations
OM Miangolarra, A Taghvaei, Y Chen, TT Georgiou
IEEE Control Systems Letters 6, 3409-3414, 2022
152022
Attitude estimation with feedback particle filter
C Zhang, A Taghvaei, PG Mehta
2016 IEEE 55th Conference on Decision and Control (CDC), 5440-5445, 2016
152016
Underdamped stochastic thermodynamic engines in contact with a heat bath with arbitrary temperature profile
OM Miangolarra, R Fu, A Taghvaei, Y Chen, TT Georgiou
Physical Review E 103 (6), 062103, 2021
132021
How regularization affects the critical points in linear networks
A Taghvaei, JW Kim, P Mehta
Advances in neural information processing systems 30, 2017
122017
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