Publications

Preprints/Under review:

• Jordi Ventura Siches, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
  Inertialess Gyrating Engines

• Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou
  A lasso-alternative to Dijkstra’s algorithm for identifying short paths in networks

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

• Anant Joshi, Amirhossein Taghvaei, Prashant G. Mehta
  Controlled Interacting Particle Algorithms for Simulation-based Reinforcement Learning

• Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
  An optimal control approach to particle filtering

Journal publications:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Machine Learning Conferences:

• Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
  Variational Wasserstein gradient flow
  International Conference of Machine Learning (ICML), 2022 (Accepted)

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

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

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

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

Control Conferences:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Thesis:

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