[PDF][PDF] A Dual Approach to Scalable Verification of Deep Networks.
This paper addresses the problem of formally verifying desirable properties of neural
networks, ie, obtaining provable guarantees that neural networks satisfy specifications …
networks, ie, obtaining provable guarantees that neural networks satisfy specifications …
Practical non-linear energy harvesting model and resource allocation for SWIPT systems
In this letter, we propose a practical non-linear energy harvesting model and design a
resource allocation algorithm for simultaneous wireless information and power transfer …
resource allocation algorithm for simultaneous wireless information and power transfer …
Convex optimization in Julia
This paper describes Convex1, a convex optimization modeling framework in Julia. Convex
translates problems from a user-friendly functional language into an abstract syntax tree …
translates problems from a user-friendly functional language into an abstract syntax tree …
Enabling low-latency applications in LTE-A based mixed fog/cloud computing systems
In order to enable low-latency computation-intensive applications for mobile user
equipments (UEs), computation offloading becomes critical necessary. We tackle the …
equipments (UEs), computation offloading becomes critical necessary. We tackle the …
Design of transcranial magnetic stimulation coils with optimal trade-off between depth, focality, and energy
LJ Gomez, SM Goetz… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Transcranial magnetic stimulation (TMS) is a noninvasive brain stimulation
technique used for research and clinical applications. Existent TMS coils are limited in their …
technique used for research and clinical applications. Existent TMS coils are limited in their …
Wireless information and power transfer: Rate-energy tradeoff for nonlinear energy harvesting
In this paper, we study rate-energy (RE) tradeoffs for simultaneous wireless information and
power transfer (SWIPT). In the existing literature, by invoking a simplistic and ideal …
power transfer (SWIPT). In the existing literature, by invoking a simplistic and ideal …
First learn then earn: Optimizing mobile crowdsensing campaigns through data-driven user profiling
We study the optimal design of mobile crowdsensing campaigns in terms of the aggregate
quality of contributions attracted for a set of tasks. The interaction of the campaign with users …
quality of contributions attracted for a set of tasks. The interaction of the campaign with users …
Ground‐motion intensity and damage map selection for probabilistic infrastructure network risk assessment using optimization
In many parts of the world, earthquakes threaten regional infrastructure systems. For
modeling risk using stochastic earthquake catalogs, random variables include rupture …
modeling risk using stochastic earthquake catalogs, random variables include rupture …
Optimal spares allocation to an exchangeable-item repair system with tolerable wait
In a multi-location, exchangeable-item repair system with stochastic demand, the expected
waiting time and the fill rate measures are oftentimes used as the optimization criteria for the …
waiting time and the fill rate measures are oftentimes used as the optimization criteria for the …
[HTML][HTML] Optimal design-for-control of self-cleaning water distribution networks using a convex multi-start algorithm
The provision of self-cleaning velocities has been shown to reduce the risk of discolouration
in water distribution networks (WDNs). Despite these findings, control implementations …
in water distribution networks (WDNs). Despite these findings, control implementations …