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Ultrasound Autofocusing: Common Midpoint Phase Error Optimization via Differentiable Beamforming. [PDF]
Simson W +5 more
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Genetic influences on diet in young Swedish adults: a twin study. [PDF]
Kastenbom L +5 more
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A reduced basis decomposition approach to efficient data collection in pairwise comparison studies. [PDF]
Jiang J, Marsh J, Seymour R.
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Two-Stage Sparse Recovery for Off-Grid Cascaded Channel Estimation in RIS-Assisted mmWave Systems. [PDF]
Han Z, Liu Q, Cao Y, Wang Y, Lin Y.
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Should you use data integration for your distribution model? [PDF]
Goldstein BR +3 more
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New A Priori FEM Error Estimates for Eigenvalues
SIAM Journal on Numerical Analysis, 2006We analyze the Ritz--Galerkin method for symmetric eigenvalue problems and prove a priori eigenvalue error estimates. For a simple eigenvalue, we prove an error estimate that depends mainly on the approximability of the corresponding eigenfunction and provide explicit values for all constants.
Andrew Knyazev, John E Osborn
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A Priori Estimates of the Generalization Error for Autoencoders
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020Autoencoder is a machine learning model which aims for dimensionality reduction, by reconstructing its input through a bottleneck with lower dimension than the input. It is among the most popular models used in unsupervised learning and semi-supervised learning. In this paper, we build theoretical understanding about autoencoders.
Zehao Don, Weinan E, Chao Ma 0012
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