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ORCIDAmirhossein Taghvaei
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2020 – today
- 2024
[j14]Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou:
Stochastic thermodynamic engines under time-varying temperature profile. Autom. 159: 111361 (2024)- [c28]Daniel Grange, Ricardo Baptisa, Amirhossein Taghvaei, Allen R. Tannenbaum, Sean Phillips:
Distributed Nonlinear Filtering using Triangular Transport Maps. ACC 2024: 3062-3067 - [c27]Mohammad Al-Jarrah
, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei:
Nonlinear Filtering with Brenier Optimal Transport Maps. ICML 2024 - [i37]Amirhossein Taghvaei:
Time-Reversal of Stochastic Maximum Principle. CoRR abs/2403.02044 (2024) - [i36]Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Dual Ensemble Kalman Filter for Stochastic Optimal Control. CoRR abs/2404.06696 (2024) - [i35]Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning. CoRR abs/2406.11057 (2024) - 2023
- [j13]Amirhossein Taghvaei, Prashant G. Mehta:
A survey of feedback particle filter and related controlled interacting particle systems (CIPS). Annu. Rev. Control. 55: 356-378 (2023) - [j12]Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen:
An optimal control approach to particle filtering. Autom. 151: 110894 (2023) - [j11]Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou:
A Matching Principle for Power Transfer in Stochastic Thermodynamics. IEEE Control. Syst. Lett. 7: 2107-2112 (2023) - [j10]Daniel Grange, Mohammad Al-Jarrah, Ricardo Baptista, Amirhossein Taghvaei, Tryphon T. Georgiou, Sean Phillips, Allen R. Tannenbaum:
Computational Optimal Transport and Filtering on Riemannian Manifolds. IEEE Control. Syst. Lett. 7: 3495-3500 (2023) - [c26]Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou:
Minimal entropy production in anisotropic temperature fields. ACC 2023: 616-621 - [c25]Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi:
Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances. ACC 2023: 622-627 - [c24]Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei:
Optimal Transport Particle Filters. CDC 2023: 6798-6805 - [c23]Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi:
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances. NeurIPS 2023 - [i34]Amirhossein Taghvaei, Prashant G. Mehta:
A Survey of Feedback Particle Filter and related Controlled Interacting Particle Systems (CIPS). CoRR abs/2301.00935 (2023) - [i33]Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou:
Minimal entropy production in the presence of anisotropic fluctuations. CoRR abs/2302.04401 (2023) - [i32]Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou:
A matching principle for power transfer in Stochastic Thermodynamics. CoRR abs/2303.10161 (2023) - [i31]Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi:
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances. CoRR abs/2305.17836 (2023) - [i30]Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei:
Optimal Transport-based Nonlinear Filtering in High-dimensional Settings. CoRR abs/2310.13886 (2023) - [i29]Daniel Grange, Ricardo Baptista, Amirhossein Taghvaei, Allen R. Tannenbaum, Sean Phillips:
Distributed Nonlinear Filtering using Triangular Transport Maps. CoRR abs/2310.19000 (2023) - 2022
- [j9]Amirhossein Taghvaei, Olga Movilla Miangolarra, Rui Fu, Yongxin Chen, Tryphon T. Georgiou:
On the Relation Between Information and Power in Stochastic Thermodynamic Engines. IEEE Control. Syst. Lett. 6: 434-439 (2022) - [j8]Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou:
Geometry of Finite-Time Thermodynamic Cycles With Anisotropic Thermal Fluctuations. IEEE Control. Syst. Lett. 6: 3409-3414 (2022) - [j7]Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Controlled interacting particle algorithms for simulation-based reinforcement learning. Syst. Control. Lett. 170: 105392 (2022) - [j6]Amirhossein Taghvaei, Prashant G. Mehta:
On the Lyapunov Foster Criterion and Poincaré Inequality for Reversible Markov Chains. IEEE Trans. Autom. Control. 67(5): 2605-2609 (2022) - [c22]Amirhossein Taghvaei, Bamdad Hosseini:
An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms. CDC 2022: 6608-6613 - [c21]Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen:
Variational Wasserstein gradient flow. ICML 2022: 6185-6215 - [i28]Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou:
Thermodynamic engine powered by anisotropic fluctuations. CoRR abs/2203.07573 (2022) - [i27]Amirhossein Taghvaei, Bamdad Hosseini:
An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms. CoRR abs/2203.11869 (2022) - [i26]Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou:
Geometry of finite-time thermodynamic cycles with anisotropic thermal fluctuations. CoRR abs/2203.12483 (2022) - [i25]Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou:
Minimal entropy production in anisotropic temperature fields. CoRR abs/2210.01062 (2022) - [i24]Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi:
Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances. CoRR abs/2210.14878 (2022) - 2021
- [j5]Rui Fu, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou:
Maximal power output of a stochastic thermodynamic engine. Autom. 123: 109366 (2021) - [j4]Amirhossein Taghvaei, Prashant G. Mehta:
An Optimal Transport Formulation of the Ensemble Kalman Filter. IEEE Trans. Autom. Control. 66(7): 3052-3067 (2021) - [c20]Yongxin Chen, Jiaojiao Fan, Amirhossein Taghvaei:
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. ICML 2021: 1571-1581 - [i23]Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou:
Harvesting energy from a periodic heat bath. CoRR abs/2101.02239 (2021) - [i22]Amirhossein Taghvaei, Prashant G. Mehta:
Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter. CoRR abs/2102.10712 (2021) - [i21]Amirhossein Taghvaei, Olga Movilla Miangolarra, Rui Fu, Yongxin Chen, Tryphon T. Georgiou:
On the relation between information and power in stochastic thermodynamic engines. CoRR abs/2103.03986 (2021) - [i20]Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen:
Stein particle filtering. CoRR abs/2106.10568 (2021) - [i19]Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta:
Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL). CoRR abs/2107.01244 (2021) - [i18]Olga Movilla Miangolarra, Amirhossein Taghvaei, Rui Fu, Yongxin Chen, Tryphon T. Georgiou:
Energy harvesting from anisotropic fluctuations. CoRR abs/2108.00334 (2021) - [i17]Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen:
An optimal control approach to particle filtering. CoRR abs/2110.03199 (2021) - [i16]Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen:
Variational Wasserstein gradient flow. CoRR abs/2112.02424 (2021) - 2020
- [j3]Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter. SIAM/ASA J. Uncertain. Quantification 8(3): 1090-1117 (2020) - [c19]Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta:
Bio-inspired Learning of Sensorimotor Control for Locomotion. ACC 2020: 2188-2193 - [c18]Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou:
Lasso formulation of the shortest path problem. CDC 2020: 402-407 - [c17]Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou:
Harvesting energy from a periodic heat bath. CDC 2020: 3034-3039 - [c16]Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta:
Deep FPF: Gain function approximation in high-dimensional setting. CDC 2020: 4790-4795 - [c15]Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee:
Optimal transport mapping via input convex neural networks. ICML 2020: 6672-6681 - [i15]Rui Fu, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou:
Maximal power output of a stochastic thermodynamic engine. CoRR abs/2001.00979 (2020) - [i14]Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou:
Lasso formulation of the shortest path problem. CoRR abs/2005.09152 (2020) - [i13]Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen:
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. CoRR abs/2007.04462 (2020) - [i12]Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta:
Deep FPF: Gain function approximation in high-dimensional setting. CoRR abs/2010.01183 (2020) - [i11]Amirhossein Taghvaei, Prashant G. Mehta, Tryphon T. Georgiou:
Optimality vs Stability Trade-off in Ensemble Kalman Filters. CoRR abs/2010.09920 (2020)
2010 – 2019
- 2019
- [j2]Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta:
A Mean-Field Optimal Control Formulation for Global Optimization. IEEE Trans. Autom. Control. 64(1): 282-289 (2019) - [c14]Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
An Approach to Duality in Nonlinear Filtering. ACC 2019: 5360-5365 - [c13]Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta:
Q-learning for POMDP: An application to learning locomotion gaits. CDC 2019: 2758-2763 - [c12]Amirhossein Taghvaei, Prashant G. Mehta:
Accelerated Flow for Probability Distributions. ICML 2019: 6076-6085 - [i10]Amirhossein Taghvaei, Prashant G. Mehta:
Accelerated Flow for Probability Distributions. CoRR abs/1901.03317 (2019) - [i9]Amirhossein Taghvaei, Amin Jalali:
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs. CoRR abs/1902.07197 (2019) - [i8]Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Gain function approximation in the Feedback Particle Filter. CoRR abs/1902.07263 (2019) - [i7]Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee:
Optimal transport mapping via input convex neural networks. CoRR abs/1908.10962 (2019) - [i6]Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta:
Q-learning for POMDP: An application to learning locomotion gaits. CoRR abs/1910.00107 (2019) - [i5]Amirhossein Taghvaei, Prashant G. Mehta:
An Optimal Transport Formulation of the Ensemble Kalman Filter. CoRR abs/1910.02338 (2019) - [i4]Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta:
Bio-inspired Learning of Sensorimotor Control for Locomotion. CoRR abs/1910.02556 (2019) - 2018
- [j1]Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta:
Feedback Particle Filter on Riemannian Manifolds and Matrix Lie Groups. IEEE Trans. Autom. Control. 63(8): 2465-2480 (2018) - [c11]Amirhossein Taghvaei, Prashant G. Mehta:
Error Analysis for the Linear Feedback Particle Filter. ACC 2018: 4261-4266 - [c10]Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta:
Derivation and Extensions of the Linear Feedback Particle Filter Based on Duality Formalisms. CDC 2018: 7188-7193 - [c9]Amirhossein Taghvaei, Prashant G. Mehta:
Error Analysis of the Stochastic Linear Feedback Particle Filter. CDC 2018: 7194-7199 - [i3]Amirhossein Taghvaei, Prashant G. Mehta:
Error Analysis of the Stochastic Linear Feedback Particle Filter. CoRR abs/1809.07892 (2018) - 2017
- [c8]Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta:
Attitude estimation of a wearable motion sensor. ACC 2017: 4570-4575 - [c7]Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Error estimates for the kernel gain function approximation in the feedback particle filter. ACC 2017: 4576-4582 - [c6]Amirhossein Taghvaei, Jin-Won Kim, Prashant G. Mehta:
How regularization affects the critical points in linear networks. NIPS 2017: 2502-2512 - [i2]Amirhossein Taghvaei, Jana de Wiljes, Prashant G. Mehta, Sebastian Reich:
Kalman Filter and its Modern Extensions for the Continuous-time Nonlinear Filtering Problem. CoRR abs/1702.07241 (2017) - [i1]Amirhossein Taghvaei, Jin-Won Kim, Prashant G. Mehta:
How regularization affects the critical points in linear networks. CoRR abs/1709.09625 (2017) - 2016
- [c5]Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta:
Feedback particle filter on matrix lie groups. ACC 2016: 2723-2728 - [c4]Amirhossein Taghvaei, Prashant G. Mehta:
An optimal transport formulation of the linear feedback particle filter. ACC 2016: 3614-3619 - [c3]Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta:
Attitude estimation with feedback particle filter. CDC 2016: 5440-5445 - [c2]Amirhossein Taghvaei, Prashant G. Mehta:
Gain function approximation in the feedback particle filter. CDC 2016: 5446-5452 - 2014
- [c1]Amirhossein Taghvaei, Seth Hutchinson, Prashant G. Mehta:
A coupled oscillators-based control architecture for locomotory gaits. CDC 2014: 3487-3492
Coauthor Index
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