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Twin Networks: Matching the Future for Sequence Generation [article]

Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio
2018 arXiv   pre-print
The backward network is used only during training, and plays no role during sampling or inference.  ...  We hypothesize that our approach eases modeling of long-term dependencies by implicitly forcing the forward states to hold information about the longer-term future (as contained in the backward states)  ...  ACKNOWLEDGMENTS The authors would like to acknowledge the support of the following agencies for research funding and computing support: NSERC, Calcul Québec, Compute Canada, the Canada Research Chairs,  ... 
arXiv:1708.06742v3 fatcat:2w4b2kkbdjdhtbu2iped6jgl4e

Digital Twin Based Network Latency Prediction in Vehicular Networks

Yanfang Fu, Dengdeng Guo, Qiang Li, Liangxin Liu, Shaochun Qu, Wei Xiang
2022 Electronics  
To address the problem of performance degradation or instability caused by latency in vehicular networks, this paper proposes a time delay prediction algorithm, in which digital twin technology is employed  ...  Network latency is a crucial factor affecting the quality of communications networks due to the irregularity of vehicular traffic.  ...  Acknowledgments: The authors would like to thank the editors and the anonymous reviewers for their valuable comments on the content and the presentation of this article.  ... 
doi:10.3390/electronics11142217 fatcat:cami5ykerzb5xfhb5ijm3hxfve

Twin Peaks: A Theoretical Analysis

Andrew D. Schmulow
2015 Social Science Research Network  
each other's ability to meet future obligations when they fall due, thus triggering a liquidity freeze as evidenced at the start of the GFC.  ...  3 As a regulatory structure, it is the envy of many in other countries, and more recent regulatory architecture reforms in other countries are often based on what is described as the Australian 'twin peaks  ... 
doi:10.2139/ssrn.2625331 fatcat:cc2bxr4swjct3phgpp3sjr4hmi

Twin Neural Networks for the Classification of Large Unbalanced Datasets

Jayadeva, Himanshu Pant, Mayank Sharma, Sumit Soman
2019 Neurocomputing  
In this paper, we discuss a Twin Neural Network (Twin NN) architecture for learning from large unbalanced datasets.  ...  The TWSVM learns two non-parallel classifying hyperplanes by solving a couple of smaller sized problems. However, it is unsuitable for large datasets, as it involves matrix operations.  ...  Acknowledgements The corresponding author would like to acknowledge the support of the Microsoft Chair Professor Project Grant (MI01158, IIT Delhi).  ... 
doi:10.1016/j.neucom.2018.07.089 fatcat:d7r7cwabhvep7dg3tx6bx2ym2y

Edge Continual Learning for Dynamic Digital Twins over Wireless Networks [article]

Omar Hashash, Christina Chaccour, Walid Saad
2022 arXiv   pre-print
In particular, a CT is simulated as a deep neural network (DNN) at the wireless network edge to model an autonomous vehicle traversing an episodically dynamic environment.  ...  Digital twins (DTs) constitute a critical link between the real-world and the metaverse.  ...  In [8] , the authors studied the use of a DT for capturing the air-ground network dynamics that assist network elements in designing incentives for a DTedge FL scheme.  ... 
arXiv:2204.04795v1 fatcat:alvsystmw5adzepvdi2bzbuioe

Digital Twin for Networking: A Data-driven Performance Modeling Perspective [article]

Linbo Hui, Mowei Wang, Liang Zhang, Lu Lu, Yong Cui
2022 arXiv   pre-print
The digital twin network (DTN) can ease these burdens by virtually enabling users to understand how performance changes accordingly with modifications.  ...  This survey aims to provide a reference for performance evaluation while also facilitating future DTN research.  ...  In this context, a digital twin network (DTN) [1] can significantly ease the practitioners' burdens.  ... 
arXiv:2206.00310v1 fatcat:sv7e2sjkvzbkjnid4lqzqzvuxi

Credit Constraints, Financial Liberalisation and Twin Crises

Haibin Zhu
2003 Social Science Research Network  
This paper proposes a continuous-time framework that explains some stylised facts in recent "twin crises" episodes.  ...  Depending on the exchange rate regime arrangement and the policy of the central bank, this financial fragility can evolve into a banking crisis, a currency crisis, or the simultaneous occurrence of both  ...  As we will see later, the new contract can spread part of the burden among all future consumers.  ... 
doi:10.2139/ssrn.794564 fatcat:trulmn6inbgbtitufciyfgdu3u

MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation [article]

Konstantinos Drossos and Stylianos Ioannis Mimilakis and Dmitriy Serdyuk and Gerald Schuller and Tuomas Virtanen and Yoshua Bengio
2018 arXiv   pre-print
We build upon the recently proposed Masker-Denoiser (MaD) architecture and we enhance it with the Twin Networks, a technique to regularize a recurrent generative network using a backward running copy of  ...  the network.  ...  Acknowledgments Part of the computations leading to these results was performed on a TITAN-X GPU donated by NVIDIA to K.  ... 
arXiv:1802.00300v1 fatcat:z2nxrcmpzrfbnbqqm6ai32mh24

Improvements on Twin Support Vector Machines

Yuan-Hai Shao, Chun-Hua Zhang, Xiao-Bo Wang, Nai-Yang Deng
2011 IEEE Transactions on Neural Networks  
Considering the multiple instance learning(MIL) in classification problem, a novel multiple instance twin support vector machines(MI-TWSVM) method is proposed.  ...  For linear classification, unlike other maximum margin SVM-based MIL methods, the proposed approach leads to two non-parallel hyperplanes. The non-linear classification via kernels is also studied.  ...  Improvements on better optimization and evaluation using a wide variety of datasets and algorithms, such as those in [9] , are promising avenues of future research.  ... 
doi:10.1109/tnn.2011.2130540 pmid:21550880 fatcat:go72cy3le5e7vn5uknsm53ncyy

Evil twins

Jacob Gorm Hansen, Eske Christiansen, Eric Jul
2007 ACM SIGOPS Operating Systems Review  
In the second, a centralized pull model ("Evil Twin"), nodes may be running behind NATs or firewalls, and are controlled by a centralized web service.  ...  buy access using a simple pre-paid token scheme.  ...  ACKNOWLEDGEMENTS The authors wish to thank our shepherd, Michael Hohmuth, and the OSR reviewers for their comments and suggestions.  ... 
doi:10.1145/1278901.1278906 fatcat:eevt47axhjbzjjpgvips6fmg7u

TSN: Performance Creative Choreography Based on Twin Sensor Network

Yufeng Wu, Longfei Zhang, Gangyi Ding, Dapeng Yan, Fuquan Zhang, Chi-Hua Chen
2021 Wireless Communications and Mobile Computing  
In order to explain the process and content of this research better, this paper designs a specific problem description framework for PCC, which mainly includes the following content: (1) a twin sensor  ...  and temporal and spatial features of performance data. (2) Proposed a mobile computing method based on director semantic annotation (DSA) as the core computing module of TSN. (3) A spatial dynamic line  ...  Acknowledgments This work has been supported by the National Key R&D Program of China under Grant No. 2018YFB1403905.  ... 
doi:10.1155/2021/5532754 fatcat:qwjrr7yusfbqtoalbdtejjuepm

PAC-Bayes Analysis for Twin Support Vector Machines

Xijiong Xie, Shiliang Sun
2015 2015 International Joint Conference on Neural Networks (IJCNN)  
In this paper, we study twin support vector machines from a theoretical perspective and use the PAC-Bayes bound to measure the generalization error bound of twin support vector machines.  ...  As recent tightest bounds for practical applications, PAC-Bayes bounds are based on a prior and posterior over the distribution of classifiers.  ...  In the future, we can use the informative prior inspired by [31] to tighten the bound.  ... 
doi:10.1109/ijcnn.2015.7280358 dblp:conf/ijcnn/XieS15 fatcat:a732alernvfldluz4lkg34u6ji

Wi-Fi Network Testing Using an Integrated Evil-Twin Framework

Andre Esser, Carlos Serrao
2018 2018 Fifth International Conference on Internet of Things: Systems, Management and Security  
ACKNOWLEDGEMENTS The authors would like to acknowledge the FCT Project UID/MULTI/4466/2016.  ...  CONCLUSIONS AND FUTURE WORK ETF was developed as an open-source project and it is available as a Github project (https://github.com/Esser420/EvilTwinFramework/).  ...  It can also be used as a proof-of-concept tool meant to teach and raise awareness of the risks involved when using Wi-Fi technologies.  ... 
doi:10.1109/iotsms.2018.8554388 dblp:conf/iotsms/EsserS18 fatcat:xz2m7pv3gvcqveuabbcskiopx4

Twin Regularization for online speech recognition [article]

Mirco Ravanelli, Dmitriy Serdyuk, Yoshua Bengio
2018 arXiv   pre-print
Inspired by a recently proposed technique called Twin Networks, we add a regularization term that forces forward hidden states to be as close as possible to cotemporal backward ones, computed by a "twin  ...  Our technique encourages the hidden representations of a unidirectional recurrent network to embed some useful information about the future.  ...  Figure 1 : 1 An example of a recurrent acoustic model extended with a Twin Network. The regularization term Ω encourages forward and backward hidden states to be as close as possible.  ... 
arXiv:1804.05374v2 fatcat:rgsztg7qsfaxlki4ox6hbxqnaa

Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks [article]

Jonathan R. Walsh, Aaron M. Smith, Yannick Pouliot, David Li-Bland, Anton Loukianov, Charles K. Fisher
2020 arXiv   pre-print
A CRBM is capable of generating digital twins, which are simulated subjects having the same baseline data as actual subjects.  ...  We use an unsupervised machine learning model called a Conditional Restricted Boltzmann Machine (CRBM) to learn the relationships between covariates commonly used to characterize subjects and their disease  ...  ACKNOWLEDGEMENTS We would like to thank Pankaj Mehta for helpful feedback on the manuscript.  ... 
arXiv:2002.02779v2 fatcat:5ixb77omcbhhtasgcyfbwz6l3u
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