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Found 5 papers, 1 papers with code
Generalizable improvement of the Spalart-Allmaras model through assimilation of experimental data
This calibration relies on the assimilation of experimental data collected velocity profiles, skin friction, and pressure coefficients for separated flows.
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource
Deep Neural Networks (DNNs) have significantly improved the accuracy of intelligent applications on mobile devices.
Variantional autoencoder with decremental information bottleneck for disentanglement
One major challenge of disentanglement learning with variational autoencoders is the trade-off between disentanglement and reconstruction fidelity.
Scale Adaptive Clustering of Multiple Structures
We propose the segmentation of noisy datasets into Multiple Inlier Structures with a new Robust Estimator (MISRE).
Robust Estimation of Multiple Inlier Structures
The robust estimator presented in this paper processes each structure independently.
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