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05/26/2023
Detecting Errors in Numerical Data via any Regression Model
Noise plagues many numerical datasets, where the recorded values in the ...
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07/03/2022
Testing Homogeneity: The Trouble with Sparse Functional Data
Testing the homogeneity between two samples of functional data is an imp...
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04/12/2022
Eigen-Adjusted Functional Principal Component Analysis
Functional Principal Component Analysis (FPCA) has become a widely-used ...
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06/19/2021
Deep Learning for Functional Data Analysis with Adaptive Basis Layers
Despite their widespread success, the application of deep neural network...
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06/11/2021
Neural Networks for Partially Linear Quantile Regression
Deep learning has enjoyed tremendous success in a variety of application...
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01/18/2021
Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks
Convolutional neural networks (CNNs) are widely used to recognize the us...
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06/05/2020
Mean and Covariance Estimation for Functional Snippets
We consider estimation of mean and covariance functions of functional sn...
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06/08/2019
ML-LOO: Detecting Adversarial Examples with Feature Attribution
Deep neural networks obtain state-of-the-art performance on a series of ...
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05/16/2019
Basis Expansions for Functional Snippets
Estimation of mean and covariance functions is fundamental for functiona...
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05/16/2019
Analytic Basis Expansions for Functional Snippets
Estimation of mean and covariance functions is fundamental for functiona...
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08/03/2018
Associating Growth in Infancy and Cognitive Performance in Early Childhood: A functional data analysis approach
Physical growth traits can be naturally represented by continuous functi...
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05/31/2018
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
We present a probabilistic framework for studying adversarial attacks on...
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02/15/2018