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Nonparametric C- and D-vine based quantile regression
Quantile regression is a field with steadily growing importance in stati...
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Turbulent Details Simulation for SPH Fluids via Vorticity Refinement
A major issue in Smoothed Particle Hydrodynamics (SPH) approaches is the...
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Detangling robustness in high dimensions: composite versus model-averaged estimation
Robust methods, though ubiquitous in practice, are yet to be fully under...
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Benchmark Tests of Convolutional Neural Network and Graph Convolutional Network on HorovodRunner Enabled Spark Clusters
The freedom of fast iterations of distributed deep learning tasks is cru...
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Bandlimited Communication With One-Bit Quantization and Oversampling: Transceiver Design and Performance Evaluation
We investigate design and performance of communications over the bandlim...
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Rate-Distortion Optimization Guided Autoencoder for Generative Approach with quantitatively measurable latent space
In the generative model approach of machine learning, it is essential to...
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MIOpen: An Open Source Library For Deep Learning Primitives
Deep Learning has established itself to be a common occurrence in the bu...
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An Enhanced SDR based Global Algorithm for Nonconvex Complex Quadratic Programs with Signal Processing Applications
In this paper, we consider a class of nonconvex complex quadratic progra...
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Bounds on Capacity Region of Optical Intensity Multiple Access Channel
This paper provides new inner and outer bounds on the capacity region of...
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Capacity bounds for bandlimited Gaussian channels with peak-to-average-power-ratio constraint
We revisit Shannon's problem of bounding the capacity of bandlimited Gau...
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Long-Term Memory Networks for Question Answering
Question answering is an important and difficult task in the natural lan...
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SYSTRAN's Pure Neural Machine Translation Systems
Since the first online demonstration of Neural Machine Translation (NMT)...
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