activity
20172020
most citedVarNet: Variational Neural Networks for the Solution of Partial Differential Equations

31 citations · 31 across the 1 of their papers we have counts for

collaborators

6 papers

physics.med-ph2020

Plane Wave Elastography: A Frequency-Domain Ultrasound Shear Wave Elastography Approach

Reza Khodayi-mehr, Matthew W. Urban, Michael M. Zavlanos +1

In this paper, we propose Plane Wave Elastography (PWE), a novel ultrasound shear wave elastography (SWE) approach. Currently, commercial methods for SWE rely on directional filter…

cs.LG2019★ 31 cited

VarNet: Variational Neural Networks for the Solution of Partial Differential Equations

Reza Khodayi-Mehr, Michael M. Zavlanos

In this paper we propose a new model-based unsupervised learning method, called VarNet, for the solution of partial differential equations (PDEs) using deep neural networks (NNs).…

cs.RO2018

Deep Learning for Robotic Mass Transport Cloaking

Reza Khodayi-mehr, Michael M. Zavlanos

We consider the problem of mass transport cloaking using mobile robots. The robots move along a predefined curve that encloses a safe zone and carry sources that collectively count…

cs.RO2018

Physics-Based Learning for Robotic Environmental Sensing

Reza Khodayi-mehr, Michael M. Zavlanos

We propose a physics-based method to learn environmental fields (EFs) using a mobile robot. Common purely data-driven methods require prohibitively many measurements to accurately…

cs.RO2018

Distributed State Estimation Using Intermittently Connected Robot Networks

Reza Khodayi-mehr, Yiannis Kantaros, Michael M. Zavlanos

This paper considers the problem of distributed state estimation using multi-robot systems. The robots have limited communication capabilities and, therefore, communicate their mea…

cs.RO2017

Model-Based Active Source Identification in Complex Environments

Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos

We consider the problem of Active Source Identification (ASI) in steady-state Advection-Diffusion (AD) transport systems. Unlike existing bio-inspired heuristic methods, we propose…