Publications

Preprints/Under review:

• Flow matching for stochastic linear control systems
  Yuhang Mei, Mohammad Al-Jarrah, Amirhossein Taghvaei, Yongxin Chen

• How to implement the Bayes’ formula in the age of ML?
  Amirhossein Taghvaei, Prashant Mehta

• Time-reversal solution of BSDEs in stochastic optimal control: a linear quadratic study
  Yuhang Mei, Amirhossein Taghvaei

• 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

• Divergence metrics in the study of Markov and hidden Markov processes
  Jin Won Kim, Amirhossein Taghvaei, Prashant G Mehta

Journal publications:

• Conditional optimal transport on function spaces
  Bamdad Hosseini, Alexander W Hsu, Amirhossein Taghvaei
  SIAM/ASA Journal on Uncertainty Quantification (Accepted)

• Minimal entropy production in the presence of anisotropic temperature fields
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
  Transactions of Automatic Control (TAC), Accepted

• Stochastic thermodynamic engines under time-varying temperature profile (arXiv)
  Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
  Automatica 159, 111361

• A Matching Principle for Power Transfer in Stochastic Thermodynamics (arXiv)
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
  IEEE Control Systems Letters, vol. 7, pp. 2107-2112, 2023

• Computational optimal transport and filtering on Riemannian manifolds (arXiv)
  Daniel Grange, Mohammad Al-Jarrah, Ricardo Baptista, Amirhossein Taghvaei, Tryphon T Georgiou, Sean Phillips, Allen Tannenbaum
  IEEE Control Systems Letters, vol. 7, pp. 3495-3500, 2023

• A Survey of Feedback Particle Filter and related Controlled Interacting Particle Systems (CIPS)(arXiv)
  Amirhossein Taghvaei, Prashant G. Mehta
  Annual Reviews in Control, Volume 55, 2023, Pages 356-378.

• An optimal control approach to particle filtering (arXiv)
  Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
  Automatica, Volume 151, 2023, 110894.

• Inertialess Gyrating Engines (arXiv)
  Jordi V. Siches, Olga M. Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
  PNAS Nexus, Volume 1, Issue 5, November 2022

• Controlled Interacting Particle Algorithms for Simulation-based Reinforcement Learning (arXiv)
  Anant Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
  Systems & Control Letters, Volume 170, 2022

• Geometry of finite-time thermodynamic cycles with anisotropic thermal fluctuations (arXiv)
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
  IEEE Control Systems Letters, vol. 6, pp. 3409-3414, 2022

• Thernodynamic engine powered by anisotropic fluctuations (arXiv)
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
  Phys. Rev. Research, 4, 023218, Jun 2022

• Energy harvesting from anisotropic fluctuations (arXiv)
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Rui Fu, Yongxin Chen, Tryphon T. Georgiou
  Phys. Rev. E 104, 044101, Oct 2021

• Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter (arXiv)
  Amirhossein Taghvaei and Prashant G. Mehta
  IEEE Control Systems Magazine (CSM), vol. 41, no. 4, pp. 34-49, Aug. 2021

• On the Lyapunov Foster criterion and Poincare inequality for Reversible Markov Chains) (arXiv)
  Amirhossein Taghvaei and Prashant G. Mehta
  Transactions of Automatic Control (TAC), vol. 41, no. 5, pp. 2605-2609, 2021

• Underdamped stochastic thermodynamic engines in contact with a heat bath with arbitrary temperature profile (arXiv)
  Olga Movilla Miangolarra, Rui Fu, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
  Phys. Rev. E 103, 062103, June 2021

• On the relation between information and power in stochastic thermodynamic engines (arXiv)
  Amirhossein Taghvaei, Olga Movilla Miangolarra, Rui Fu, Yongxin Chen, Tryphon T. Georgiou
  IEEE Control Systems Letters (L-CSS), vol. 6, pp. 434-439, 2022

• Feedback particle filter for collective inference (arXiv)
  Jin Won Kim, Amirhossein Taghvaei, Yongxin Chen, Prashant G. Mehta
  Foundations of Data Science (FoDS) on Data Assimilation, 3(3), 543:561, 2021

• Maximal power output of a stochastic thermodynamic engine (arXiv )
  Rui Fu, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
  Automatica, 123:109366, 2021

• An optimal transport formulation of the ensemble Kalman filter (arXiv)
  Amirhossein Taghvaei and Prashant G. Mehta
  Transactions of Automatic Control (TAC), vol. 66, no. 7, pp. 3052-3067, July 2021

• Fractional SIR Epidemiological Models
  Amirhossein Taghvaei, Tryphon T. Georgiou, Larry Norton, Allen R. Tannenbaum
  Scientefic Reports, 10(1):20882, 2020

• Diffusion map-based algorithm for gain function approximation in the feedback particle filter (arXiv)
  Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
  SIAM/ASA Journal on Uncertainty Quantification, 8(3):1090–1117, 2020

• A mean-field optimal control formulation for global optimization (arXiv)
  Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
  IEEE Transactions on Automatic Control (TAC), 64, no. 1, pp. 282-289, Jan. 2019

• Kalman filter and its modern extensions for the continuous-time nonlinear filtering problem (arXiv)
  Amirhossein Taghvaei, Jana de Wiljes, Prashant G. Mehta, and Sebastian Reich
  Journal of Dynamic Systems, Measurement, and Control, 140(3):030904, 2018

• Feedback Particle Filter on Riemannian Manifolds and Matrix Lie groups (arXiv)
  Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
  IEEE Transactions on Automatic Control (TAC), 63(8):2465–2480, 2018

Machine Learning Conferences:

• Nonlinear Filtering with Brenier Optimal Transport Maps
  Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei
  International Conference of Machine Learning (ICML), 2024

• Data-driven optimal filtering for linear systems with unknown noise covariances (arXiv)
  Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
  Advances in Neural Information Processing Systems (NeurIPS), December 2023

• Variational Wasserstein gradient flow (arXiv)
  Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
  International Conference of Machine Learning (ICML), PMLR 162:6185-6215, 2022

• Scalable computations of Wasserstein barycenter via input convex neural networks (arXiv)
  Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
  International Conference of Machine Learning (ICML), PMLR 139:1571-1581, 2021

• Optimal transport mapping via input-convex neural networks (arXiv)
  Ashok Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason Lee
  International Conference on Machine Learning (ICML), PMLR 119:6672-6681, 2020

• Accelerated flow for probability distributions (arXiv)
  Amirhossein Taghvaei, Prashant G. Mehta
  International Conference on Machine Learning (ICML), PMLR 97:6076-6085, 2019

• How regularization affects the critical points in linear neural networks (arXiv)
  Amirhossein Taghvaei, Jin W. Kim, Prasshant G. Mehta
  Advances in Neural Information Processing Systems (NeurIPS), 2502–2512, Long Beach, December 2017

Control Conferences:

• Data-Driven Approximation of Stationary Nonlinear Filters with Optimal Transport Maps
  Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei
  IEEE Conference on Decision and Control (CDC), Milan, 2024

• Time-Reversal of Stochastic Maximum Principle
  Amirhossein Taghvaei
  IEEE Conference on Decision and Control (CDC), Milan, 2024

• Dual Ensemble Kalman Filter for Stochastic Optimal Control
  Anant A Joshi, Amirhossein Taghvaei, Prashant G Mehta, Sean P Meyn
  IEEE Conference on Decision and Control (CDC), Milan, 2024

• Computational optimal transport and filtering on Riemannian manifolds (arXiv)
  Daniel Grange, Mohammad Al-Jarrah, Ricardo Baptista, Amirhossein Taghvaei, Tryphon T Georgiou, Sean Phillips, Allen Tannenbaum
  IEEE American Control Conference (ACC), Toronto, 2024

• Computational optimal transport and filtering on Riemannian manifolds
  Daniel Grange, Ricardo Baptista, Amirhossein Taghvaei, Allen Tannenbaum, Sean Phillips
  IEEE American Control Conference (ACC), Toronto, 2024

• Optimal Transport Particle Filters (arXiv)
  Mohammad Al-Jarrah, Amirhossein Taghvaei, Bamdad Hosseini
  2023 62nd IEEE Conference on Decision and Control (CDC), 6798-6805

• A Matching Principle for Power Transfer in Stochastic Thermodynamics
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou
  IEEE Conference on Decision and Control (CDC), Singapore, 2023

• Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances (arXiv)
  Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi.
  IEEE American Control Conference (ACC), San Diego, 2023

• Minimal entropy production in anisotropic temperature fields (arXiv)
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
  IEEE American Control Conference (ACC), San Diego, 2023

• An Optimal Transport Formulation of Bayes’ Law for Nonlinear Filtering Algorithms (arXiv)
  Amirhossein Taghvaei, Bamdad Hosseini
  IEEE Conference on Decision and Control (CDC), Cancun, Mexico, 2022

• Geometry of finite-time thermodynamic cycles with anisotropic thermal fluctuations(arXiv)
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
  IEEE Conference on Decision and Control (CDC), Cancun, Mexico, 2022

• Optimality vs Stability Trade-off in Ensemble Kalman Filters(arXiv)
  Amirhossein Taghvaei, Prashant G. Mehta, Tryphon T. Georgiou
  25th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2022), Bayreuth, Germany, 2022

• On the relation between information and power in stochastic thermodynamic engines(arXiv)
  Amirhossein Taghvaei, Olga Movilla Miangolarra, Rui Fu, Yongxin Chen, Tryphon T. Georgiou
  IEEE Conference on Decision and Control (CDC), Austin, December 2021

• Lasso formulation of the shortest path problem (arXiv)
  Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou
  IEEE Conference on Decision and Control (CDC), 402-407, Jeju Island, Republic of Korea, December 2020

• Harvesting energy from a periodic heat bath (arXiv)
  Rui Fu, Olga Movilla, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
  IEEE Conference on Decision and Control (CDC), 3034-3039, Jeju Island, Republic of Korea, December 2020

• Deep FPF: Gain function approximation in high-dimensions (arXiv)
  S. Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta
  IEEE Conference on Decision and Control (CDC), 4790-4795, Jeju Island, Republic of Korea, December 2020

• Bio-inspired Learning of Sensorimotor Control for Locomotion (arXiv)
  Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
  IEEE American Control Conference (ACC), 2188–2193, Denver, July 2020

• Q-learning for POMDP: An application to learning locomotion gaits (arXiv)
  Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
  IEEE Conference on Decision and Control (CDC), 2758–2763, Nice, France, December 2019

• An approach to duality in nonlinear filtering (arXiv)
  Jin W. Kim, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
  IEEE American Control Conference (ACC), 5360–5365, Philadelphia, July 2019

• Error analysis of the stochastic linear feedback particle filter (arXiv)
  Amirhossein Taghvaei, Prashant G. Mehta
  IEEE Conference on Decision and Control (CDC), 7194–7199, Miami, December 2018

• Derivation and Extensions of the Linear Feedback Particle Filter based on Duality Formalisms (arXiv)
  Jin W. Kim, Amirhossein Taghvaei, Prashant G. Mehta
  IEEE Conference on Decision and Control (CDC), 7188–7193, Miami, December 2018

• Error analysis of the linear feedback article filter (arXiv)
  Amirhossein Taghvaei, Prashant G. Mehta
  IEEE American Control Conference (ACC), 4261–4266, Milwaukee, June 2018

• Error Estimates for the Kernel Gain Function Approximation in the Feedback Particle Filter (arXiv)
  Amirhossein Taghvaei, Prashant G. Mehta. S. P. Meyn
  IEEE American Control Conference (ACC), 4576–4582, Seattle, May 2017

• Attitude Estimation of a Wearable Motion Sensor
  Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
  IEEE American Control Conference (ACC), 4570–4575, Seattle, May 2017

• Gain Function Approximation in the Feedback Particle Filter (arXiv)
  Amirhossein Taghvaei, Prashant G. Mehta
  IEEE Conference on Decision and Control (CDC), 5446–5452 Las Vegas, December 2016

• Attitude Estimation with Feedback Particle Filter
  Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
  IEEE Conference on Decision and Control (CDC), 5440–5445, Las Vegas, December 2016

• An Optimal Transport Formulation of Linear Feedback Particle Filter (arXiv)
  Amirhossein Taghvaei, Prashant G. Mehta
  IEEE American Control Conference (ACC), 3614–3619, Boston, June 2016

• Feedback Particle Filter on Matrix Lie group
  Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
  IEEE American Control Conference (ACC), 2723–2728, Boston, June 2016

• A Coupled Oscillator-based Control Architecture for Locomotory Gaits
  Amirhossein Taghvaei, Seth A. Hutchinson, and Prashant G. Mehta
  IEEE Conference on Decision and Control (CDC), 3487–3492, Los Angeles, December 2014

Thesis:

• Design and analysis of particle-based algorithms for nonlinear filtering and sampling
  Ph.D. Dissertation, University of Illinois at Urbana-Champaign, 2019