research
∙
04/09/2023
Maximum Agreement Linear Prediction via the Concordance Correlation Coefficient
This paper examines distributional properties and predictive performance...
share
research
∙
04/06/2023
Tensor Slicing and Optimization for Multicore NPUs
Although code generation for Convolution Neural Network (CNN) models has...
research
∙
12/21/2022
Automatic Network Adaptation for Ultra-Low Uniform-Precision Quantization
Uniform-precision neural network quantization has gained popularity sinc...
research
∙
07/15/2022
Selection of the Most Probable Best
We consider an expected-value ranking and selection problem where all k ...
research
∙
07/04/2022
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution
Mobile devices run deep learning models for various purposes, such as im...
research
∙
01/07/2021
Density Deconvolution with Non-Standard Error Distributions: Rates of Convergence and Adaptive Estimation
It is a typical standard assumption in the density deconvolution problem...
research
∙
12/08/2019
Improved Multiple Confidence Intervals via Thresholding Informed by Prior Information
Consider a statistical problem where a set of parameters are of interest...
research
∙
11/09/2018