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StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows [article]

Rameen Abdal, Peihao Zhu, Niloy Mitra, Peter Wonka
2020 arXiv   pre-print
Finally, via extensive qualitative and quantitative comparisons, we demonstrate the superiority of StyleFlow to other concurrent works.  ...  We present StyleFlow as a simple, effective, and robust solution to both the sub-problems by formulating conditional exploration as an instance of conditional continuous normalizing flows in the GAN latent  ...  Analyzing the compound e ect of embedding and editing is beyond the scope of this paper.  ... 
arXiv:2008.02401v2 fatcat:wbzz4t23uvcozk3nav675heewm

Dataset Dynamics via Gradient Flows in Probability Space [article]

David Alvarez-Melis, Nicolò Fusi
2021 arXiv   pre-print
We approach this class of problems through Wasserstein gradient flows in probability space, and derive practical and efficient particle-based methods for a flexible but well-behaved class of objective  ...  Various machine learning tasks, from generative modeling to domain adaptation, revolve around the concept of dataset transformation and manipulation.  ...  accuracy on the flowed data as an oracle measure of evolution of the flow.  ... 
arXiv:2010.12760v2 fatcat:wmfplatfejc4nlkg73dlmblhmu

Energy flow and thermo-electricity in atomic and molecular junctions [article]

Yonatan Dubi, Massimiliano Di Ventra
2010 arXiv   pre-print
Advances in the fabrication and characterization of nanoscale systems now allow for a deeper understanding of one of the most basic issues in science and technology: the flow of energy at the microscopic  ...  In this Colloquium we survey recent advances and present understanding of physical mechanisms of energy transport in nanostructures, focusing mainly on molecular junctions and atomic wires.  ...  Roy for useful discussions and critical reading of the manuscript. This work has been supported by DOE under grant DE-FG02-05ER46204 and University of California Laboratories.  ... 
arXiv:0910.0425v4 fatcat:byj4lnjnezevpgguw2i6gdjahq

Cross Pixel Optical Flow Similarity for Self-Supervised Learning [article]

Aravindh Mahendran, James Thewlis, Andrea Vedaldi
2018 arXiv   pre-print
At test time, the learned deep network can be used without access to video or flow information and transferred to tasks such as image classification, detection, and segmentation.  ...  We use motion cues in the form of optical flow, to supervise representations of static images.  ...  Acknowledgements The authors gratefully acknowledge the support of ERC IDIU, and the AWS Cloud Credits for Research program.  ... 
arXiv:1807.05636v1 fatcat:pz2fykwokzandbcgin5vczolc4

SAGITTARIUS A* ACCRETION FLOW AND BLACK HOLE PARAMETERS FROM GENERAL RELATIVISTIC DYNAMICAL AND POLARIZED RADIATIVE MODELING

Roman V. Shcherbakov, Robert F. Penna, Jonathan C. McKinney
2012 Astrophysical Journal  
We obtain estimates of Sgr A* accretion flow and black hole parameters by fitting polarized sub-mm observations with spectra computed using three-dimensional (3D) general relativistic (GR) magnetohydrodynamical  ...  We perform fully self-consistent GR polarized radiative transfer using our new code to explore the effects of spin a_*, inclination angle θ, position angle (PA), accretion rate Mdot, and electron temperature  ...  cluster at the University of Maryland, and were partially supported by NSF through TeraGrid resources provided by NCSA (Abe), LONI (QueenBee), and NICS (Kraken) under grant numbers TG-AST080025N and TG-AST080026N  ... 
doi:10.1088/0004-637x/755/2/133 fatcat:4w2zvm55xjbnjembgxvgm3gxsu

Order Flows and Limit Order Book Resiliency on the Meso-Scale [article]

Kyle Bechler, Michael Ludkovski
2017 arXiv   pre-print
We also document a hockey-stick dependence between trade imbalance and one-sided limit order flows, highlighting numerous asymmetric effects between the active and passive sides of the LOB.  ...  To do so we carry out empirical analysis of the order flows from market and limit order submissions, aggregated from tick-by-tick data via volume-based bucketing, as well as various LOB depth and shape  ...  fluctuations beyond their expected level).  ... 
arXiv:1708.02715v1 fatcat:g26r7efs3ncgzirjgormsnpqhu

Flow Monitoring Explained: From Packet Capture to Data Analysis With NetFlow and IPFIX

Rick Hofstede, Pavel Celeda, Brian Trammell, Idilio Drago, Ramin Sadre, Anna Sperotto, Aiko Pras
2014 IEEE Communications Surveys and Tutorials  
Each of these stages therefore has to be thoroughly understood, before being able to perform sound flow measurements.  ...  Flow monitoring embraces the complete chain of packet observation, flow export using protocols such as NetFlow and IPFIX, data collection, and data analysis.  ...  ACKNOWLEDGMENT The authors would like to thank Cyndi Mills, Benoit Claise (Cisco Systems Inc.) and Nevil Brownlee (University of Auckland) for their valuable contributions.  ... 
doi:10.1109/comst.2014.2321898 fatcat:eefcoigarrfwhkikqiib2svvga

High Precision Detection of Salient Objects Based on Deep Convolutional Networks with Proper Combinations of Shallow and Deep Connections

Lin Guo, Shiyin Qin
2018 Symmetry  
In this paper, a high precision detection method of salient objects is presented based on deep convolutional networks with proper combinations of shallow and deep connections.  ...  In order to achieve better performance in the extraction of deep semantic features of salient objects, based on a symmetric encoder and decoder architecture, an upgrade of backbone networks is carried  ...  Figure 23 . 23 ) Comparison of precision, recall and F-measure (b) Comparison of IoU and MAE Various performance indices on the MSRA-10K dataset.  ... 
doi:10.3390/sym11010005 fatcat:myu6dgszknfujbot7wj2shg5pu

Testing ethernet networks for the ATLAS data collection system

F.R.M. Barnes, R. Beuran, R.W. Dobinson, M.J. LeVine, B. Martin, J. Lokier, C. Meirosu
2002 IEEE Transactions on Nuclear Science  
Each packet is time stamped with a global clock value and therefore we are able to compute an accurate measure of the network latency.  ...  This work provides the tools to study a test bed representing a fraction of the 1600 ATLAS detector readout buffers and 600 Level 2 trigger CPUs using a combination of the Fast Ethernet boards and the  ...  In addition to measurement of packet loss and latency in the network, access to the MACs allows histogramming of internal queue occupancies under different conditions; this allows a quantitative measurement  ... 
doi:10.1109/tns.2002.1003791 fatcat:akgs5qd2cvfvva5gly7hg5twra

The Impact of Carrier Flow Rate and Infusion Set Dead-Volume on the Dynamics of Intravenous Drug Delivery

Mark A. Lovich, Jason Doles, Robert A. Peterfreund
2005 Anesthesia and Analgesia  
The dynamics of IV drug delivery resulting from drug infusions connected to main-line crystalloid carriers can be complex and depend on infusion set dead-volume, drug flow rate, and carrier flow rate.  ...  These quantitative studies may help optimize the safe use of IV drug infusion systems.  ...  Viability, measured by propidium iodide exclusion flow cytometry, is plotted relative to untreated cells.  ... 
doi:10.1213/01.ane.0000146942.51020.88 pmid:15781520 fatcat:sjpetej4p5guxa7fumwytxlhia

Cost-effective generation of precise label-free quantitative proteomes in high-throughput by microLC and data-independent acquisition

Jakob Vowinckel, Aleksej Zelezniak, Roland Bruderer, Michael Mülleder, Lukas Reiter, Markus Ralser
2018 Scientific Reports  
potential to overcome current bottlenecks in academia and industry, enabling the cost-effective generation of precise quantitative proteomes in large scale.  ...  In this sense, proteomics lags behind the other 'omic' disciplines, i.e. genomics, transcriptomics and metabolomics, where the precise analysis of large and very large sample series has become more regularly  ...  Acknowledgements We thank Floriana Capuano and Artur Kibler for help with the experiments, and thank Christoph Messner and Joanna Segal for help with the manuscript.  ... 
doi:10.1038/s41598-018-22610-4 pmid:29531254 pmcid:PMC5847575 fatcat:ke5kxchbgbdxrjtdx2gncxl4fy

Critical analysis on the reproducibility of visual quality assessment using deep features [article]

Franz Götz-Hahn and Vlad Hosu and Dietmar Saupe
2021 arXiv   pre-print
However, our analysis shows that information from the test set was inappropriately used in the training process in different ways and that the claimed performance results cannot be achieved.  ...  When correcting for the data leakage, the performances of the approaches drop even below the state-of-the-art by a large margin.  ...  Introduction The goal of visual quality assessment is to provide a quantitative measure of multimedia perceptual quality, particularly for digital images and video sequences.  ... 
arXiv:2009.05369v3 fatcat:75kfk4k22fhybickfhuhyv7kdq

An assessment of operational coverage as both an adequacy and a selection criterion for operational profile based testing

Breno Miranda, Antonia Bertolino
2017 Software quality journal  
While the relation between code coverage measures and fault detection is actively studied, only few works have investigated the correlation between measures of coverage and of reliability.  ...  of usage into the measure of coverage.  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s11219-017-9388-0 fatcat:hapcf6xycjdsjaok6ok272fvpm

Mobility Inference on Long-Tailed Sparse Trajectory

Lei Shi, Yuankai Luo, Shuai Ma, Hanghang Tong, Zhetao Li, Xiatian Zhang, Zhiguang Shan
2022 ACM Transactions on Intelligent Systems and Technology  
How can we model the human mobility consisting of stay and travel states from the raw trajectory data? How can we infer these mobility states from a single user's trajectory information?  ...  Evaluations on three trajectory datasets of 40 million urban users validate the performance guarantees of the proposed inference algorithm and demonstrate the superiority of our deep learning model, in  ...  ACKNOWLEDGMENTS This work was supported by National Key R&D Program of China (2021YFB3500700), NSFC Grant 62172026, the Fundamental Research Funds for the Central Universities, and SKLSDE.  ... 
doi:10.1145/3563457 fatcat:wovtojdk2fdwtbhckpx3lmjy7u

Precisely quantifying software information flow

Mihai Adrian Enescu
2016
Unfortunately, the precise information flow measured by this definition is difficult to compute, and prior work has sacrificed precision, scalability, and/or automation.  ...  Quantitative information flow is a framework that has been used to detect a class of security flaws in programs, by measuring an attacker's influence.  ...  I have based much of the text on a paper due to appear and to be presented at the European Symposium on Security and Privacy 2016, titled "Precisely Measuring Quantitative Information Flow: 10K Lines of  ... 
doi:10.14288/1.0228571 fatcat:qohidpexu5dulbskakqc5julpy
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