21 citations · 34 across the 16 of their papers we have counts for
7 papers · 1 filter
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…
Lasso formulation of the shortest path problem
Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou
The shortest path problem is formulated as an -regularized regression problem, known as lasso. Based on this formulation, a connection is established between Dijkstra's shorte…
Maximal power output of a stochastic thermodynamic engine
Rui Fu, Amirhossein Taghvaei, Yongxin Chen +1
Classical thermodynamics aimed to quantify the efficiency of thermodynamic engines by bounding the maximal amount of mechanical energy produced compared to the amount of heat requi…
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs
Amirhossein Taghvaei, Amin Jalali
We provide a framework to approximate the 2-Wasserstein distance and the optimal transport map, amenable to efficient training as well as statistical and geometric analysis. With t…
Derivation and Extensions of the Linear Feedback Particle Filter based on Duality Formalisms
Jin W. Kim, Amirhossein Taghvaei, Prashant G. Mehta
This paper is concerned with a duality-based approach to derive the linear feedback particle filter (FPF). The FPF is a controlled interacting particle system where the control law…
How regularization affects the critical points in linear networks
Amirhossein Taghvaei, Jin W. Kim, Prashant G. Mehta
This paper is concerned with the problem of representing and learning a linear transformation using a linear neural network. In recent years, there has been a growing interest in t…