Amirhossein Taghvaei

IEEE Trans. Autom. Control., February, 2025

2024

Stochastic thermodynamic engines under time-varying temperature profile.

[BibT_eX]

[DOI]

Rui Fu

Autom., January, 2024

How to implement the Bayes' formula in the age of ML?

[BibT_eX]

[DOI]

CoRR, 2024

Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Nonlinear Filtering with Brenier Optimal Transport Maps.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Time-Reversal of Stochastic Maximum Principle.

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Dual Ensemble Kalman Filter for Stochastic Optimal Control.

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Data-Driven Approximation of Stationary Nonlinear Filters with Optimal Transport Maps.

[BibT_eX]

[DOI]

Mohammad Al-Jarrah

Bamdad Hosseini

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Distributed Nonlinear Filtering using Triangular Transport Maps.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

2023

A survey of feedback particle filter and related controlled interacting particle systems (CIPS).

[BibT_eX]

[DOI]

Annu. Rev. Control., January, 2023

A Matching Principle for Power Transfer in Stochastic Thermodynamics.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Computational Optimal Transport and Filtering on Riemannian Manifolds.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Optimal Transport-based Nonlinear Filtering in High-dimensional Settings.

[BibT_eX]

[DOI]

CoRR, 2023

An optimal control approach to particle filtering.

[BibT_eX]

[DOI]

Qinsheng Zhang

Autom., 2023

Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances.

[BibT_eX]

[DOI]

Shahriar Talebi

Mehran Mesbahi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Transport Particle Filters.

[BibT_eX]

[DOI]

Mohammad Al-Jarrah

Bamdad Hosseini

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances.

[BibT_eX]

[DOI]

Shahriar Talebi

Mehran Mesbahi

Proceedings of the American Control Conference, 2023

Minimal entropy production in anisotropic temperature fields.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2023

2022

On the Lyapunov Foster Criterion and Poincaré Inequality for Reversible Markov Chains.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Controlled interacting particle algorithms for simulation-based reinforcement learning.

[BibT_eX]

[DOI]

Syst. Control. Lett., 2022

On the Relation Between Information and Power in Stochastic Thermodynamic Engines.

[BibT_eX]

[DOI]

Rui Fu

IEEE Control. Syst. Lett., 2022

Geometry of Finite-Time Thermodynamic Cycles With Anisotropic Thermal Fluctuations.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Thermodynamic engine powered by anisotropic fluctuations.

[BibT_eX]

[DOI]

CoRR, 2022

Variational Wasserstein gradient flow.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms.

[BibT_eX]

[DOI]

Bamdad Hosseini

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

An Optimal Transport Formulation of the Ensemble Kalman Filter.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Variational Wasserstein gradient flow.

[BibT_eX]

[DOI]

Jiaojiao Fan

CoRR, 2021

Energy harvesting from anisotropic fluctuations.

[BibT_eX]

[DOI]

CoRR, 2021

Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL).

[BibT_eX]

[DOI]

Anant A. Joshi

CoRR, 2021

Stein particle filtering.

[BibT_eX]

[DOI]

Jiaojiao Fan

CoRR, 2021

Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter.

[BibT_eX]

[DOI]

CoRR, 2021

Maximal power output of a stochastic thermodynamic engine.

[BibT_eX]

[DOI]

Autom., 2021

Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks.

[BibT_eX]

[DOI]

Jiaojiao Fan

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter.

[BibT_eX]

[DOI]

Sean P. Meyn

SIAM/ASA J. Uncertain. Quantification, 2020

Optimality vs Stability Trade-off in Ensemble Kalman Filters.

[BibT_eX]

[DOI]

CoRR, 2020

Optimal transport mapping via input convex neural networks.

[BibT_eX]

[DOI]

Ashok Vardhan Makkuva

Sewoong Oh

Jason D. Lee

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep FPF: Gain function approximation in high-dimensional setting.

[BibT_eX]

[DOI]

Sukru Yagiz Olmez

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Harvesting energy from a periodic heat bath.

[BibT_eX]

[DOI]

Rui Fu

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Lasso formulation of the shortest path problem.

[BibT_eX]

[DOI]

Anqi Dong

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Bio-inspired Learning of Sensorimotor Control for Locomotion.

[BibT_eX]

[DOI]

Tixian Wang

Proceedings of the 2020 American Control Conference, 2020

2019

A Mean-Field Optimal Control Formulation for Global Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

Gain function approximation in the Feedback Particle Filter.

[BibT_eX]

[DOI]

Sean P. Meyn

CoRR, 2019

2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs.

[BibT_eX]

[DOI]

Amin Jalali

CoRR, 2019

Accelerated Flow for Probability Distributions.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Q-learning for POMDP: An application to learning locomotion gaits.

[BibT_eX]

[DOI]

Tixian Wang

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

An Approach to Duality in Nonlinear Filtering.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

2018

Feedback Particle Filter on Riemannian Manifolds and Matrix Lie Groups.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Error Analysis of the Stochastic Linear Feedback Particle Filter.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Derivation and Extensions of the Linear Feedback Particle Filter Based on Duality Formalisms.

[BibT_eX]

[DOI]

Jin-Won Kim

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Error Analysis for the Linear Feedback Particle Filter.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Kalman Filter and its Modern Extensions for the Continuous-time Nonlinear Filtering Problem.

[BibT_eX]

[DOI]

CoRR, 2017

How regularization affects the critical points in linear networks.

[BibT_eX]

[DOI]

Jin-Won Kim

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Attitude estimation of a wearable motion sensor.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

Error estimates for the kernel gain function approximation in the feedback particle filter.

[BibT_eX]

[DOI]

Sean P. Meyn

Proceedings of the 2017 American Control Conference, 2017

2016

Attitude estimation with feedback particle filter.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Gain function approximation in the feedback particle filter.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Feedback particle filter on matrix lie groups.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

An optimal transport formulation of the linear feedback particle filter.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2014

A coupled oscillators-based control architecture for locomotory gaits.

[BibT_eX]

[DOI]

Seth Hutchinson