[PDF][PDF] A Dual Approach to Scalable Verification of Deep Networks.

K Dvijotham, R Stanforth, S Gowal, TA Mann, P Kohli - UAI, 2018 - auai.org
This paper addresses the problem of formally verifying desirable properties of neural
networks, ie, obtaining provable guarantees that neural networks satisfy specifications …

Practical non-linear energy harvesting model and resource allocation for SWIPT systems

E Boshkovska, DWK Ng, N Zlatanov… - IEEE Communications …, 2015 - ieeexplore.ieee.org
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 …

Convex optimization in Julia

M Udell, K Mohan, D Zeng, J Hong… - 2014 first workshop …, 2014 - ieeexplore.ieee.org
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 …

Enabling low-latency applications in LTE-A based mixed fog/cloud computing systems

J Du, L Zhao, X Chu, FR Yu, J Feng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In order to enable low-latency computation-intensive applications for mobile user
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 …

Wireless information and power transfer: Rate-energy tradeoff for nonlinear energy harvesting

JM Kang, IM Kim, DI Kim - IEEE Transactions on Wireless …, 2017 - ieeexplore.ieee.org
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 …

First learn then earn: Optimizing mobile crowdsensing campaigns through data-driven user profiling

M Karaliopoulos, I Koutsopoulos, M Titsias - Proceedings of the 17th …, 2016 - dl.acm.org
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 …

Ground‐motion intensity and damage map selection for probabilistic infrastructure network risk assessment using optimization

M Miller, J Baker - Earthquake Engineering & Structural …, 2015 - Wiley Online Library
In many parts of the world, earthquakes threaten regional infrastructure systems. For
modeling risk using stochastic earthquake catalogs, random variables include rupture …

Optimal spares allocation to an exchangeable-item repair system with tolerable wait

M Dreyfuss, Y Giat - European Journal of Operational Research, 2017 - Elsevier
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 …

[HTML][HTML] Optimal design-for-control of self-cleaning water distribution networks using a convex multi-start algorithm

B Jenks, F Pecci, I Stoianov - Water Research, 2023 - Elsevier
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 …