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Deep Learning for Functional Data Analysis with Adaptive Basis Layers
Despite their widespread success, the application of deep neural network...
06/19/2021 ∙ by Junwen Yao, et al. ∙
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Neural Networks for Partially Linear Quantile Regression
Deep learning has enjoyed tremendous success in a variety of application...
06/11/2021 ∙ by Qixian Zhong, et al. ∙
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Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks
Convolutional neural networks (CNNs) are widely used to recognize the us...
01/18/2021 ∙ by Seong-Eun Moon, et al. ∙
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Mean and Covariance Estimation for Functional Snippets
We consider estimation of mean and covariance functions of functional sn...
06/05/2020 ∙ by Zhenhua Lin, et al. ∙
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ML-LOO: Detecting Adversarial Examples with Feature Attribution
Deep neural networks obtain state-of-the-art performance on a series of ...
06/08/2019 ∙ by Puyudi Yang, et al. ∙
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Basis Expansions for Functional Snippets
Estimation of mean and covariance functions is fundamental for functiona...
05/16/2019 ∙ by Zhenhua Lin, et al. ∙
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Analytic Basis Expansions for Functional Snippets
Estimation of mean and covariance functions is fundamental for functiona...
05/16/2019 ∙ by Zhenhua Lin, et al. ∙
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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...
08/03/2018 ∙ by Pantelis Z. Hadjipantelis, et al. ∙
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Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
We present a probabilistic framework for studying adversarial attacks on...
05/31/2018 ∙ by Puyudi Yang, et al. ∙
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History PCA: A New Algorithm for Streaming PCA
In this paper we propose a new algorithm for streaming principal compone...
02/15/2018 ∙ by Puyudi Yang, et al. ∙
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