Amirhossein Taghvaei

95 papers A* 6C 11Journal 59Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Time-Reversal Control Synthesis for Steering the State of Stochastic Systems. CDC Yuhang Mei, Amirhossein Taghvaei, Ali Pakniyat
2025	J	`jnl`	A convex approach for Markov chain estimation from aggregate data via inverse optimal transport. CoRR Michele Mascherpa, Axel Ringh, Amirhossein Taghvaei, Johan Karlsson
2025	J	`jnl`	A lasso-alternative to Dijkstra's algorithm for identifying short paths in networks. CoRR Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou
2025	J	`jnl`	Conditional Optimal Transport on Function Spaces. SIAM/ASA J. Uncertain. Quantification Bamdad Hosseini, Alexander W. Hsu, Amirhossein Taghvaei
2025	—	`conf`	Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control. CDC Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta
2025	J	`jnl`	Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control. CoRR Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta
2025	J	`jnl`	Fast Filtering of Non-Gaussian Models Using Amortized Optimal Transport Maps. IEEE Control. Syst. Lett. Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei
2025	J	`jnl`	Fast filtering of non-Gaussian models using Amortized Optimal Transport Maps. CoRR Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei
2025	—	`conf`	Flow matching for stochastic linear control systems. L4DC Yuhang Mei, Mohammad Al-Jarrah, Amirhossein Taghvaei, Yongxin Chen
2025	—	`conf`	Interacting Particle Systems for Fast Linear Quadratic RL. L4DC Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2025	J	`jnl`	Minimal Entropy Production in the Presence of Anisotropic Fluctuations. IEEE Trans. Autom. Control. Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
2025	C	`conf`	Time-reversal solution of BSDEs in stochastic optimal control: a linear quadratic study. ACC Yuhang Mei, Amirhossein Taghvaei
2024	—	`conf`	Data-Driven Approximation of Stationary Nonlinear Filters with Optimal Transport Maps. CDC Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei
2024	J	`jnl`	Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning. CoRR Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2024	C	`conf`	Distributed Nonlinear Filtering using Triangular Transport Maps. ACC Daniel Grange, Ricardo Baptista, Amirhossein Taghvaei, Allen R. Tannenbaum, Sean Phillips
2024	—	`conf`	Dual Ensemble Kalman Filter for Stochastic Optimal Control. CDC Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2024	J	`jnl`	Dual Ensemble Kalman Filter for Stochastic Optimal Control. CoRR Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2024	J	`jnl`	How to implement the Bayes' formula in the age of ML? CoRR Amirhossein Taghvaei, Prashant G. Mehta
2024	A*	`conf`	Nonlinear Filtering with Brenier Optimal Transport Maps. ICML Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei
2024	J	`jnl`	Stochastic thermodynamic engines under time-varying temperature profile. Autom. Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
2024	—	`conf`	Time-Reversal of Stochastic Maximum Principle. CDC Amirhossein Taghvaei
2024	J	`jnl`	Time-Reversal of Stochastic Maximum Principle. CoRR Amirhossein Taghvaei
2023	J	`jnl`	A Matching Principle for Power Transfer in Stochastic Thermodynamics. IEEE Control. Syst. Lett. Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
2023	J	`jnl`	A Survey of Feedback Particle Filter and related Controlled Interacting Particle Systems (CIPS). CoRR Amirhossein Taghvaei, Prashant G. Mehta
2023	J	`jnl`	A matching principle for power transfer in Stochastic Thermodynamics. CoRR Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
2023	J	`jnl`	A survey of feedback particle filter and related controlled interacting particle systems (CIPS). Annu. Rev. Control. Amirhossein Taghvaei, Prashant G. Mehta
2023	J	`jnl`	An optimal control approach to particle filtering. Autom. Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
2023	J	`jnl`	Computational Optimal Transport and Filtering on Riemannian Manifolds. IEEE Control. Syst. Lett. Daniel Grange, Mohammad Al-Jarrah, Ricardo Baptista, Amirhossein Taghvaei, Tryphon T. Georgiou, Sean Phillips, Allen R. Tannenbaum
2023	A*	`conf`	Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances. NeurIPS Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
2023	J	`jnl`	Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances. CoRR Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
2023	J	`jnl`	Distributed Nonlinear Filtering using Triangular Transport Maps. CoRR Daniel Grange, Ricardo Baptista, Amirhossein Taghvaei, Allen R. Tannenbaum, Sean Phillips
2023	C	`conf`	Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances. ACC Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
2023	C	`conf`	Minimal entropy production in anisotropic temperature fields. ACC Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
2023	J	`jnl`	Minimal entropy production in the presence of anisotropic fluctuations. CoRR Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
2023	—	`conf`	Optimal Transport Particle Filters. CDC Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei
2023	J	`jnl`	Optimal Transport-based Nonlinear Filtering in High-dimensional Settings. CoRR Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei
2022	—	`conf`	An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms. CDC Amirhossein Taghvaei, Bamdad Hosseini
2022	J	`jnl`	An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms. CoRR Amirhossein Taghvaei, Bamdad Hosseini
2022	J	`jnl`	Controlled interacting particle algorithms for simulation-based reinforcement learning. Syst. Control. Lett. Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2022	J	`jnl`	Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances. CoRR Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
2022	J	`jnl`	Geometry of Finite-Time Thermodynamic Cycles With Anisotropic Thermal Fluctuations. IEEE Control. Syst. Lett. Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
2022	J	`jnl`	Geometry of finite-time thermodynamic cycles with anisotropic thermal fluctuations. CoRR Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
2022	J	`jnl`	Minimal entropy production in anisotropic temperature fields. CoRR Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
2022	J	`jnl`	On the Lyapunov Foster Criterion and Poincaré Inequality for Reversible Markov Chains. IEEE Trans. Autom. Control. Amirhossein Taghvaei, Prashant G. Mehta
2022	J	`jnl`	On the Relation Between Information and Power in Stochastic Thermodynamic Engines. IEEE Control. Syst. Lett. Amirhossein Taghvaei, Olga Movilla Miangolarra, Rui Fu, Yongxin Chen, Tryphon T. Georgiou
2022	J	`jnl`	Thermodynamic engine powered by anisotropic fluctuations. CoRR Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
2022	A*	`conf`	Variational Wasserstein gradient flow. ICML Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
2021	J	`jnl`	An Optimal Transport Formulation of the Ensemble Kalman Filter. IEEE Trans. Autom. Control. Amirhossein Taghvaei, Prashant G. Mehta
2021	J	`jnl`	An optimal control approach to particle filtering. CoRR Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
2021	J	`jnl`	Energy harvesting from anisotropic fluctuations. CoRR Olga Movilla Miangolarra, Amirhossein Taghvaei, Rui Fu, Yongxin Chen, Tryphon T. Georgiou
2021	J	`jnl`	Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL). CoRR Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta
2021	J	`jnl`	Harvesting energy from a periodic heat bath. CoRR Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
2021	J	`jnl`	Maximal power output of a stochastic thermodynamic engine. Autom. Rui Fu, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
2021	J	`jnl`	On the relation between information and power in stochastic thermodynamic engines. CoRR Amirhossein Taghvaei, Olga Movilla Miangolarra, Rui Fu, Yongxin Chen, Tryphon T. Georgiou
2021	J	`jnl`	Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter. CoRR Amirhossein Taghvaei, Prashant G. Mehta
2021	A*	`conf`	Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. ICML Yongxin Chen, Jiaojiao Fan, Amirhossein Taghvaei
2021	J	`jnl`	Stein particle filtering. CoRR Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
2021	J	`jnl`	Variational Wasserstein gradient flow. CoRR Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
2020	C	`conf`	Bio-inspired Learning of Sensorimotor Control for Locomotion. ACC Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
2020	—	`conf`	Deep FPF: Gain function approximation in high-dimensional setting. CDC Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta
2020	J	`jnl`	Deep FPF: Gain function approximation in high-dimensional setting. CoRR Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta
2020	J	`jnl`	Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter. SIAM/ASA J. Uncertain. Quantification Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2020	—	`conf`	Harvesting energy from a periodic heat bath. CDC Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
2020	—	`conf`	Lasso formulation of the shortest path problem. CDC Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou
2020	J	`jnl`	Lasso formulation of the shortest path problem. CoRR Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou
2020	J	`jnl`	Maximal power output of a stochastic thermodynamic engine. CoRR Rui Fu, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
2020	A*	`conf`	Optimal transport mapping via input convex neural networks. ICML Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee
2020	J	`jnl`	Optimality vs Stability Trade-off in Ensemble Kalman Filters. CoRR Amirhossein Taghvaei, Prashant G. Mehta, Tryphon T. Georgiou
2020	J	`jnl`	Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. CoRR Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
2019	J	`jnl`	2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs. CoRR Amirhossein Taghvaei, Amin Jalali
2019	J	`jnl`	A Mean-Field Optimal Control Formulation for Global Optimization. IEEE Trans. Autom. Control. Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
2019	A*	`conf`	Accelerated Flow for Probability Distributions. ICML Amirhossein Taghvaei, Prashant G. Mehta
2019	J	`jnl`	Accelerated Flow for Probability Distributions. CoRR Amirhossein Taghvaei, Prashant G. Mehta
2019	C	`conf`	An Approach to Duality in Nonlinear Filtering. ACC Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2019	J	`jnl`	An Optimal Transport Formulation of the Ensemble Kalman Filter. CoRR Amirhossein Taghvaei, Prashant G. Mehta
2019	J	`jnl`	Bio-inspired Learning of Sensorimotor Control for Locomotion. CoRR Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
2019	J	`jnl`	Gain function approximation in the Feedback Particle Filter. CoRR Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2019	J	`jnl`	Optimal transport mapping via input convex neural networks. CoRR Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee
2019	—	`conf`	Q-learning for POMDP: An application to learning locomotion gaits. CDC Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
2019	J	`jnl`	Q-learning for POMDP: An application to learning locomotion gaits. CoRR Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
2018	—	`conf`	Derivation and Extensions of the Linear Feedback Particle Filter Based on Duality Formalisms. CDC Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta
2018	C	`conf`	Error Analysis for the Linear Feedback Particle Filter. ACC Amirhossein Taghvaei, Prashant G. Mehta
2018	—	`conf`	Error Analysis of the Stochastic Linear Feedback Particle Filter. CDC Amirhossein Taghvaei, Prashant G. Mehta
2018	J	`jnl`	Error Analysis of the Stochastic Linear Feedback Particle Filter. CoRR Amirhossein Taghvaei, Prashant G. Mehta
2018	J	`jnl`	Feedback Particle Filter on Riemannian Manifolds and Matrix Lie Groups. IEEE Trans. Autom. Control. Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
2017	C	`conf`	Attitude estimation of a wearable motion sensor. ACC Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
2017	C	`conf`	Error estimates for the kernel gain function approximation in the feedback particle filter. ACC Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2017	—	`conf`	How regularization affects the critical points in linear networks. NIPS Amirhossein Taghvaei, Jin-Won Kim, Prashant G. Mehta
2017	J	`jnl`	How regularization affects the critical points in linear networks. CoRR Amirhossein Taghvaei, Jin-Won Kim, Prashant G. Mehta
2017	J	`jnl`	Kalman Filter and its Modern Extensions for the Continuous-time Nonlinear Filtering Problem. CoRR Amirhossein Taghvaei, Jana de Wiljes, Prashant G. Mehta, Sebastian Reich
2016	C	`conf`	An optimal transport formulation of the linear feedback particle filter. ACC Amirhossein Taghvaei, Prashant G. Mehta
2016	—	`conf`	Attitude estimation with feedback particle filter. CDC Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
2016	C	`conf`	Feedback particle filter on matrix lie groups. ACC Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
2016	—	`conf`	Gain function approximation in the feedback particle filter. CDC Amirhossein Taghvaei, Prashant G. Mehta
2014	—	`conf`	A coupled oscillators-based control architecture for locomotory gaits. CDC Amirhossein Taghvaei, Seth Hutchinson, Prashant G. Mehta