output
19922026
most citedModeling the Time Variability of SDSS Stripe 82 Quasars as a Damped Random Walk

705 citations

Showing 2019Show all

14 papers · 1 filter

physics.plasm-ph2019★ 34 cited

Determining cross sections from transport coefficients using deep neural networks

Peter W. Stokes, Daniel G. Cocks, Michael J. Brunger +1

We present a neural network for the solution of the inverse swarm problem of deriving cross sections from swarm transport data. To account for the uncertainty inherent to this some…

cs.ET2019★ 21 cited

Variation-aware Binarized Memristive Networks

Corey Lammie, Olga Krestinskaya, Alex James +1

The quantization of weights to binary states in Deep Neural Networks (DNNs) can replace resource-hungry multiply accumulate operations with simple accumulations. Such Binarized Neu…

cond-mat.mes-hall2019★ 17 cited

Timescale separation solution of Kadanoff-Baym equations for quantum transport in time-dependent fields

Thomas D. Honeychurch, Daniel S. Kosov

The interaction with time-dependent external fields, especially the interplay between time-dependent driving and quantum correlations, changes the familiar picture of electron tran…

cs.CV2019

Data-Efficient Classification of Birdcall Through Convolutional Neural Networks Transfer Learning

Dina B. Efremova, Mangalam Sankupellay, Dmitry A. Konovalov

Deep learning Convolutional Neural Network (CNN) models are powerful classification models but require a large amount of training data. In niche domains such as bird acoustics, it…

cond-mat.mes-hall2019★ 11 cited

Fluctuating-time and full counting statistics for quantum transport in a system with internal telegraphic noise

Samuel L. Rudge, Daniel S. Kosov

Many molecular junctions display stochastic telegraphic switching between two distinct current values, which is therefore an important source of fluctuations in nanoscale quantum t…

cond-mat.mes-hall2019★ 27 cited

Counting quantum jumps: a summary and comparison of fixed-time and fluctuating-time statistics in electron transport

Samuel L. Rudge, Daniel S. Kosov

In quantum transport through nanoscale devices, fluctuations arise from various sources: the discreteness of charge carriers, the statistical non-equilibrium that is required for d…

astro-ph.SR2019★ 2 cited

General classification of light curves using extreme boosting

Refilwe Kgoadi, Chris Engelbrecht, Ian Whittingham +1

A significant degree of misclassification of variable stars through the application of machine learning methods to survey data motivates a search for more reliable and accurate mac…

cs.SE2019★ 22 cited

A Survey of Asynchronous Programming Using Coroutines in the Internet of Things and Embedded Systems

Bruce Belson, Jason Holdsworth, Wei Xiang +1

Many Internet of Things and embedded projects are event-driven, and therefore require asynchronous and concurrent programming. Current proposals for C++20 suggest that coroutines w…

cs.CV2019★ 8 cited

In Situ Cane Toad Recognition

Dmitry A. Konovalov, Simindokht Jahangard, Lin Schwarzkopf

Cane toads are invasive, toxic to native predators, compete with native insectivores, and have a devastating impact on Australian ecosystems, prompting the Australian government to…

cs.LG2019★ 7 cited

Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL

Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi

Recent technological advances have proliferated the available computing power, memory, and speed of modern Central Processing Units (CPUs), Graphics Processing Units (GPUs), and Fi…

cs.CV2019★ 37 cited

Underwater Fish Detection with Weak Multi-Domain Supervision

Dmitry A. Konovalov, Alzayat Saleh, Michael Bradley +3

Given a sufficiently large training dataset, it is relatively easy to train a modern convolution neural network (CNN) as a required image classifier. However, for the task of fish…

cs.CL2019★ 5 cited

Patent Analytics Based on Feature Vector Space Model: A Case of IoT

Lei Lei, Jiaju Qi, Kan Zheng

The number of approved patents worldwide increases rapidly each year, which requires new patent analytics to efficiently mine the valuable information attached to these patents. Ve…

physics.atom-ph2019★ 4 cited

Ultracold homonuclear and heteronuclear collisions in metastable helium

D. G. Cocks, I. B. Whittingham, G. Peach

Scattering and ionizing cross sections and rates are calculated for ultracold collisions between metastable helium atoms using a fully quantum-mechanical close-coupled formalism. H…

cond-mat.mes-hall2019★ 20 cited

Non-renewal statistics in quantum transport through the eyes of first-passage and waiting time distributions

Samuel L. Rudge, Daniel S. Kosov

The waiting time distribution has, in recent years, proven to be a useful statistical tool for characterising transport in nanoscale quantum transport. In particular, as opposed to…