18 citations · 45 across the 12 of their papers we have counts for
6 papers · 1 filter
Variational Wasserstein gradient flow
Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei +1
Wasserstein gradient flow has emerged as a promising approach to solve optimization problems over the space of probability distributions. A recent trend is to use the well-known JK…
An optimal control approach to particle filtering
Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
We present a novel particle filtering framework for continuous-time dynamical systems with continuous-time measurements. Our approach is based on the duality between estimation and…
Energy harvesting from anisotropic fluctuations
Olga Movilla Miangolarra, Amirhossein Taghvaei, Rui Fu +2
We consider a rudimentary model for a heat engine, known as the Brownian gyrator, that consists of an overdamped system with two degrees of freedom in an anisotropic temperature fi…
Stein particle filtering
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
We present a new particle filtering algorithm for nonlinear systems in the discrete-time setting. Our algorithm is based on the Stein variational gradient descent (SVGD) framework,…
Harvesting energy from a periodic heat bath
Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei +2
The context of the present paper is stochastic thermodynamics - an approach to nonequilibrium thermodynamics rooted within the broader framework of stochastic control. In contrast…
Underdamped stochastic thermodynamic engines in contact with a heat bath with arbitrary temperature profile
Olga Movilla Miangolarra, Rui Fu, Amirhossein Taghvaei +2
We study thermodynamic processes in contact with a heat bath that may have an arbitrary time-varying periodic temperature profile. Within the framework of stochastic thermodynamics…