output
20072026
most citedOperational resilience: concepts, design and analysis

292 citations

Showing 2018Show all

7 papers · 1 filter

stat.AP2018★ 15 cited

Estimation from Quantized Gaussian Measurements: When and How to Use Dither

Joshua Rapp, Robin M. A. Dawson, Vivek K Goyal

Subtractive dither is a powerful method for removing the signal dependence of quantization noise for coarsely-quantized signals. However, estimation from dithered measurements ofte…

physics.app-ph2018★ 2 cited

Studies of two-dimensional MoS2 on enhancing the electrical performance of ultrathin copper films

Tingting Shen, Daniel Valencia, Qingxiao Wang +6

Copper nanowires are widely used as on-chip interconnects due to superior conductivity. However, with aggressive Cu interconnect scaling, the diffusive surface scattering of electr…

eess.SP2018★ 81 cited

Dead Time Compensation for High-Flux Ranging

Joshua Rapp, Yanting Ma, Robin M. A. Dawson +1

Dead time effects have been considered a major limitation for fast data acquisition in various time-correlated single photon counting applications, since a commonly adopted approac…

cs.RO2018★ 30 cited

Real-Time Object Pose Estimation with Pose Interpreter Networks

Jimmy Wu, Bolei Zhou, Rebecca Russell +5

In this work, we introduce pose interpreter networks for 6-DoF object pose estimation. In contrast to other CNN-based approaches to pose estimation that require expensively annotat…

cs.CL2018★ 43 cited

Learning to Repair Software Vulnerabilities with Generative Adversarial Networks

Jacob Harer, Onur Ozdemir, Tomo Lazovich +4

Motivated by the problem of automated repair of software vulnerabilities, we propose an adversarial learning approach that maps from one discrete source domain to another target do…

physics.optics2018

Photorefractive second-harmonic detection for ultrasound-modulated optical tomography

Steven J. Byrnes

Ultrasound-modulated optical tomography enables sharp 3D optical imaging of tissues and other turbid media, but the light modulation signals are hard to sensitively measure. A comm…