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检索条件"机构=Program in Applied and Computational Mathematics and The Department of Electrical Engineering"
812 条 记 录,以下是211-220 订阅
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On Distributed Exact Sparse Linear Regression over Networks
arXiv
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arXiv 2022年
作者: Anh-Nguyen, Tu Uribe, César A. The Department of Computational and Applied Mathematics Rice University TX United States The Department of Electrical and Computer Engineering Rice University TX United States
In this work, we propose an algorithm for solving exact sparse linear regression problems over a network in a distributed manner. Particularly, we consider the problem where data is stored among different computers or... 详细信息
来源: 评论
Unbiased Estimation of the Vanilla and Deterministic Ensemble Kalman–Bucy Filters
arXiv
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arXiv 2022年
作者: Álvarez Ballesteros, Miguel Ángel Chada, Neil K. Jasra, Ajay Applied Mathematics and Computational Science Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia
In this article we consider the development of an unbiased estimator for the ensemble Kalman–Bucy filter (EnKBF). The EnKBF is a continuous-time filtering methodology which can be viewed as a continuous-time analogue... 详细信息
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Unbiased and Multilevel Methods for a Class of Diffusions Partially Observed via Marked Point Processes
arXiv
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arXiv 2023年
作者: Alvarez, Miguel Jasra, Ajay Ruzayqat, Hamza Applied Mathematics and Computational Science Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia
In this article we consider the filtering problem associated to partially observed diffusions, with observations following a marked point process. In the model, the data form a point process with observation times tha... 详细信息
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Bayesian Parameter Inference for Partially Observed Stochastic Volterra Equations
arXiv
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arXiv 2023年
作者: Jasra, Ajay Ruzayqat, Hamza Wu, Amin Applied Mathematics & Computational Science Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia
In this article we consider Bayesian parameter inference for a type of partially observed stochastic Volterra equation (SVE). SVEs are found in many areas such as physics and mathematical finance. In the latter field ... 详细信息
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On detection with partial information in the Gaussian setup
On detection with partial information in the Gaussian setup
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Annual Allerton Conference on Communication, Control, and Computing
作者: Onur Özyeşil M. Kivanç Mihçak Yğcel Altug PACM (the Program in Applied and Computational Mathematics) Princeton University Princeton NJ USA Electrical and Electronics Engineering Department Boğaziçi University Istanbul Turkey School of Electrical and Computer Engineering Cornell University Ithaca NY USA
We introduce the problem of communication with partial information, where there is an asymmetry between the transmitter and the receiver codebooks. Practical applications of the proposed setup include the robust signa... 详细信息
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Image recovery from rotational and translational invariants
arXiv
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arXiv 2019年
作者: Marshall, Nicholas F. Lan, Ti-Yen Bendory, Tamir Singer, Amit Department of Mathematics Princeton University PrincetonNJ United States Program in Applied and Computational Mathematics Princeton University PrincetonNJ United States School of Electrical Engineering Tel Aviv University Tel Aviv Israel
We introduce a framework for recovering an image from its rotationally and translationally invariant features based on autocorrelation analysis. This work is an instance of the multi-target detection statistical model... 详细信息
来源: 评论
Dynamic compressive spectrum sensing for cognitive radio networks
Dynamic compressive spectrum sensing for cognitive radio net...
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Annual Conference on Information Sciences and Systems (CISS)
作者: Wotao Yin Zaiwen Wen Shuyi Li Jia Meng Zhu Han Department of Computational and Applied Mathematics Rice University USA Department of Mathematics and Institute of Natural Sciences Shanghai liaotong University China Department of Electrical and Computer Engineering University of Houston USA
In the recently proposed collaborative compressive sensing, the cognitive radios (CRs) sense the occupied spectrum channels by measuring linear combinations of channel powers, which is more efficient than sweeping a s... 详细信息
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Artificial neural network approach for turbulence models: A local framework
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Physical Review Fluids 2021年 第8期6卷 084612-084612页
作者: Chenyue Xie Xiangming Xiong Jianchun Wang Program in Applied and Computational Mathematics Princeton University Princeton New Jersey 08544 USA Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen 518055 People's Republic of China
A local artificial neural network (LANN) framework is developed for turbulence modeling. The Reynolds-averaged Navier-Stokes (RANS) unclosed terms are reconstructed by the artificial neural network based on the local ... 详细信息
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Rate-achievability strategies for two-hop interference flows
Rate-achievability strategies for two-hop interference flows
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Annual Allerton Conference on Communication, Control, and Computing
作者: P.S. Chandrashekhar Thejaswi Amir Bennatan Junshan Zhang Robert Calderbank Douglas Cochran Department of Electrical Engineering Arizona Stare University Tempe 85287 USA Program in Applied and Computational Mathematics (PACM) at Princeton University Princeton NJ USA Department of Electrical Engineering Arizona State University Tempe AZ USA Department of Electrical Engineering Arizona Stare University Tempe AZ USA
We consider a basic model for two-hop transmissions of two information flows which interfere with each other. In this model, two sources simultaneously transmit to two relays (in the first hop), which then simultaneou... 详细信息
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Topology of deep neural networks
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2020年 第1期21卷 7503-7542页
作者: Gregory Naitzat Andrey Zhitnikov Lek-Heng Lim Department of Statistics University of Chicago Chicago IL Faculty of Electrical Engineering Technion - Israel Institute of Technology Haifa Israel Computational and Applied Mathematics Initiative University of Chicago Chicago IL
We study how the topology of a data set M = Ma∪Mb ⊆ ℝd, representing two classes a and b in a binary classification problem, changes as it passes through the layers of a well-trained neural network, i.e., one with pe... 详细信息
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