A coupled oscillators-based control architecture for locomotory gaits. - Amirhossein Taghvaei; Seth Hutchinson 001; Prashant G. Mehta (CDC, 2014)

An optimal transport formulation of the linear feedback particle filter. - Amirhossein Taghvaei; Prashant G. Mehta (ACC, 2016)

Feedback particle filter on matrix lie groups. - Chi Zhang 009; Amirhossein Taghvaei; Prashant G. Mehta (ACC, 2016)

Gain function approximation in the feedback particle filter. - Amirhossein Taghvaei; Prashant G. Mehta (CDC, 2016)

Attitude estimation with feedback particle filter. - Chi Zhang 009; Amirhossein Taghvaei; Prashant G. Mehta (CDC, 2016)

Error estimates for the kernel gain function approximation in the feedback particle filter. - Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (ACC, 2017)

Attitude estimation of a wearable motion sensor. - Chi Zhang 009; Amirhossein Taghvaei; Prashant G. Mehta (ACC, 2017)

How regularization affects the critical points in linear networks. - Amirhossein Taghvaei; Jin-Won Kim; Prashant G. Mehta (NIPS, 2017)

Kalman Filter and its Modern Extensions for the Continuous-time Nonlinear Filtering Problem. - Amirhossein Taghvaei; Jana de Wiljes; Prashant G. Mehta; Sebastian Reich (CoRR, 2017)

Error Analysis for the Linear Feedback Particle Filter. - Amirhossein Taghvaei; Prashant G. Mehta (ACC, 2018)

Derivation and Extensions of the Linear Feedback Particle Filter Based on Duality Formalisms. - Jin-Won Kim; Amirhossein Taghvaei; Prashant G. Mehta (CDC, 2018)

Error Analysis of the Stochastic Linear Feedback Particle Filter. - Amirhossein Taghvaei; Prashant G. Mehta (CDC, 2018)

Feedback Particle Filter on Riemannian Manifolds and Matrix Lie Groups. - Chi Zhang 009; Amirhossein Taghvaei; Prashant G. Mehta (IEEE Trans. Autom. Control., 2018)

An Approach to Duality in Nonlinear Filtering. - Jin-Won Kim; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (ACC, 2019)

Q-learning for POMDP: An application to learning locomotion gaits. - Tixian Wang; Amirhossein Taghvaei; Prashant G. Mehta (CDC, 2019)

Accelerated Flow for Probability Distributions. - Amirhossein Taghvaei; Prashant G. Mehta (ICML, 2019)

2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs. - Amirhossein Taghvaei; Amin Jalali 002 (CoRR, 2019)

Gain function approximation in the Feedback Particle Filter. - Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CoRR, 2019)

A Mean-Field Optimal Control Formulation for Global Optimization. - Chi Zhang 009; Amirhossein Taghvaei; Prashant G. Mehta (IEEE Trans. Autom. Control., 2019)

Bio-inspired Learning of Sensorimotor Control for Locomotion. - Tixian Wang; Amirhossein Taghvaei; Prashant G. Mehta (ACC, 2020)

Lasso formulation of the shortest path problem. - Anqi Dong; Amirhossein Taghvaei; Tryphon T. Georgiou (CDC, 2020)

Harvesting energy from a periodic heat bath. - Rui Fu; Olga Movilla Miangolarra; Amirhossein Taghvaei; Yongxin Chen; Tryphon T. Georgiou (CDC, 2020)

Deep FPF: Gain function approximation in high-dimensional setting. - Sukru Yagiz Olmez; Amirhossein Taghvaei; Prashant G. Mehta (CDC, 2020)

Optimal transport mapping via input convex neural networks. - Ashok Vardhan Makkuva; Amirhossein Taghvaei; Sewoong Oh; Jason D. Lee (ICML, 2020)

Optimality vs Stability Trade-off in Ensemble Kalman Filters. - Amirhossein Taghvaei; Prashant G. Mehta; Tryphon T. Georgiou (CoRR, 2020)

Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter. - Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (SIAM/ASA J. Uncertain. Quantification, 2020)

Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. - Yongxin Chen; Jiaojiao Fan; Amirhossein Taghvaei (ICML, 2021)

Maximal power output of a stochastic thermodynamic engine. - Rui Fu; Amirhossein Taghvaei; Yongxin Chen; Tryphon T. Georgiou (Autom., 2021)

Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter. - Amirhossein Taghvaei; Prashant G. Mehta (CoRR, 2021)

Stein particle filtering. - Jiaojiao Fan; Amirhossein Taghvaei; Yongxin Chen (CoRR, 2021)

Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL). - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta (CoRR, 2021)

Energy harvesting from anisotropic fluctuations. - Olga Movilla Miangolarra; Amirhossein Taghvaei; Rui Fu; Yongxin Chen; Tryphon T. Georgiou (CoRR, 2021)

Variational Wasserstein gradient flow. - Jiaojiao Fan; Amirhossein Taghvaei; Yongxin Chen (CoRR, 2021)

An Optimal Transport Formulation of the Ensemble Kalman Filter. - Amirhossein Taghvaei; Prashant G. Mehta (IEEE Trans. Autom. Control., 2021)

An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms. - Amirhossein Taghvaei; Bamdad Hosseini (CDC, 2022)

Variational Wasserstein gradient flow. - Jiaojiao Fan; Qinsheng Zhang; Amirhossein Taghvaei; Yongxin Chen (ICML, 2022)

Thermodynamic engine powered by anisotropic fluctuations. - Olga Movilla Miangolarra; Amirhossein Taghvaei; Yongxin Chen; Tryphon T. Georgiou (CoRR, 2022)

Geometry of Finite-Time Thermodynamic Cycles With Anisotropic Thermal Fluctuations. - Olga Movilla Miangolarra; Amirhossein Taghvaei; Yongxin Chen; Tryphon T. Georgiou (IEEE Control. Syst. Lett., 2022)

On the Relation Between Information and Power in Stochastic Thermodynamic Engines. - Amirhossein Taghvaei; Olga Movilla Miangolarra; Rui Fu; Yongxin Chen; Tryphon T. Georgiou (IEEE Control. Syst. Lett., 2022)

Controlled interacting particle algorithms for simulation-based reinforcement learning. - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (Syst. Control. Lett., 2022)

On the Lyapunov Foster Criterion and Poincaré Inequality for Reversible Markov Chains. - Amirhossein Taghvaei; Prashant G. Mehta (IEEE Trans. Autom. Control., 2022)

Minimal entropy production in anisotropic temperature fields. - Olga Movilla Miangolarra; Amirhossein Taghvaei; Tryphon T. Georgiou (ACC, 2023)

Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances. - Shahriar Talebi; Amirhossein Taghvaei; Mehran Mesbahi (ACC, 2023)

Optimal Transport Particle Filters. - Mohammad Al-Jarrah; Bamdad Hosseini; Amirhossein Taghvaei (CDC, 2023)

Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances. - Shahriar Talebi; Amirhossein Taghvaei; Mehran Mesbahi (NeurIPS, 2023)

An optimal control approach to particle filtering. - Qinsheng Zhang; Amirhossein Taghvaei; Yongxin Chen (Autom., 2023)

Optimal Transport-based Nonlinear Filtering in High-dimensional Settings. - Mohammad Al-Jarrah; Niyizhen Jin; Bamdad Hosseini; Amirhossein Taghvaei (CoRR, 2023)

Computational Optimal Transport and Filtering on Riemannian Manifolds. - Daniel Grange; Mohammad Al-Jarrah; Ricardo Baptista; Amirhossein Taghvaei; Tryphon T. Georgiou; Sean Phillips; Allen R. Tannenbaum (IEEE Control. Syst. Lett., 2023)

A Matching Principle for Power Transfer in Stochastic Thermodynamics. - Olga Movilla Miangolarra; Amirhossein Taghvaei; Tryphon T. Georgiou (IEEE Control. Syst. Lett., 2023)

A survey of feedback particle filter and related controlled interacting particle systems (CIPS). - Amirhossein Taghvaei; Prashant G. Mehta (Annu. Rev. Control., 2023)

Distributed Nonlinear Filtering using Triangular Transport Maps. - Daniel Grange; Ricardo Baptista; Amirhossein Taghvaei; Allen R. Tannenbaum; Sean Phillips (ACC, 2024)

Data-Driven Approximation of Stationary Nonlinear Filters with Optimal Transport Maps. - Mohammad Al-Jarrah; Bamdad Hosseini; Amirhossein Taghvaei (CDC, 2024)

Dual Ensemble Kalman Filter for Stochastic Optimal Control. - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CDC, 2024)

Time-Reversal of Stochastic Maximum Principle. - Amirhossein Taghvaei (CDC, 2024)

Nonlinear Filtering with Brenier Optimal Transport Maps. - Mohammad Al-Jarrah; Niyizhen Jin; Bamdad Hosseini; Amirhossein Taghvaei (ICML, 2024)

Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning. - Anant A. Joshi; Heng-Sheng Chang; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CoRR, 2024)

How to implement the Bayes' formula in the age of ML? - Amirhossein Taghvaei; Prashant G. Mehta (CoRR, 2024)

Stochastic thermodynamic engines under time-varying temperature profile. - Rui Fu; Olga Movilla Miangolarra; Amirhossein Taghvaei; Yongxin Chen; Tryphon T. Georgiou (Autom., 2024)

Interacting Particle Systems for Fast Linear Quadratic RL. - Anant A. Joshi; Heng-Sheng Chang; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (L4DC, 2025)

Flow matching for stochastic linear control systems. - Yuhang Mei; Mohammad Al-Jarrah; Amirhossein Taghvaei; Yongxin Chen (L4DC, 2025)

Fast Filtering of Non-Gaussian Models Using Amortized Optimal Transport Maps. - Mohammad Al-Jarrah; Bamdad Hosseini; Amirhossein Taghvaei (IEEE Control. Syst. Lett., 2025)

Conditional Optimal Transport on Function Spaces. - Bamdad Hosseini; Alexander W. Hsu; Amirhossein Taghvaei (SIAM/ASA J. Uncertain. Quantification, 2025)

Minimal Entropy Production in the Presence of Anisotropic Fluctuations. - Olga Movilla Miangolarra; Amirhossein Taghvaei; Tryphon T. Georgiou (IEEE Trans. Autom. Control., 2025)

Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control. - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta (CoRR, 2025)