
Using LSTMs for climate change assessment studies on droughts and floods
Climate change affects occurrences of floods and droughts worldwide. How...
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Asynchronous parallel primaldual block update methods
Recent several years have witnessed the surge of asynchronous (async) p...
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A Primer on Coordinate Descent Algorithms
This monograph presents a class of algorithms called coordinate descent ...
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Accelerated firstorder primaldual proximal methods for linearly constrained composite convex programming
Motivated by big data applications, firstorder methods have been extrem...
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Randomized PrimalDual Proximal Block Coordinate Updates
In this paper we propose a randomized primaldual proximal block coordin...
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Clustering of Sparse and Approximately Sparse Graphs by Semidefinite Programming
As a model problem for clustering, we consider the densest kdisjointcl...
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Alternating direction method of multipliers for penalized zerovariance discriminant analysis
We consider the task of classification in the high dimensional setting w...
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A Coalition Formation Approach to Coordinated Task Allocation in Heterogeneous UAV Networks
The problem of adversary target detection and the subsequent task comple...
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FixedPSNR Lossy Compression for Scientific Data
Errorcontrolled lossy compression has been studied for years because of...
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Optimizing Lossy Compression RateDistortion from Automatic Online Selection between SZ and ZFP
With everincreasing volumes of scientific data produced by HPC applicat...
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DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using ErrorBounded Lossy Compression
DNNs have been quickly and broadly exploited to improve the data analysi...
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Learning to Project in MultiObjective Binary Linear Programming
In this paper, we investigate the possibility of improving the performan...
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Convex optimization for the densest subgraph and densest submatrix problems
We consider the densest ksubgraph problem, which seeks to identify the ...
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Mapping road safety features from streetview imagery: A deep learning approach
Each year, around 6 million car accidents occur in the U.S. on average. ...
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A regularization approach for solving Poisson's equation with singular charge sources and diffuse interfaces
Singular charge sources in terms of Dirac delta functions present a well...
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RTMobile: Beyond RealTime Mobile Acceleration of RNNs for Speech Recognition
Recurrent neural networks (RNNs) based automatic speech recognition has ...
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Understanding GPUBased Lossy Compression for ExtremeScale Cosmological Simulations
To help understand our universe better, researchers and scientists curre...
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Adaptive pseudotime methods for the PoissonBoltzmann equation with Eulerian solvent excluded surface
This work further improves the pseudotransient approach for the Poisson...
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A Survey on Spatial and Spatiotemporal Prediction Methods
With the advancement of GPS and remote sensing technologies, large amoun...
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Autonomous Situational Awareness for UAS Swarms
This paper describes a technique for the autonomous mission planning of ...
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