CovNet: Covariance Networks for Functional Data on Multidimensional
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CovNet: Covariance Networks for Functional Data on Multidimensional Domains

11 April 2021

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Papers citing "CovNet: Covariance Networks for Functional Data on Multidimensional Domains"

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Title
Estimation of the Mean Function of Functional Data via Deep Neural Networks Shuoyang Wang Guanqun Cao Zuofeng Shang 47 21 0 08 Dec 2020
Approximating smooth functions by deep neural networks with sigmoid activation function S. Langer 44 68 0 08 Oct 2020
Quantifying deviations from separability in space-time functional processes Holger Dette Gauthier Dierickx T. Kutta 14 9 0 26 Mar 2020
Smooth function approximation by deep neural networks with general activation functions Ilsang Ohn Yongdai Kim 40 80 0 17 Jun 2019
Simultaneous Confidence Bands for Functional Data Using the Gaussian Kinematic Formula F. Telschow Armin Schwartzman 10 20 0 18 Jan 2019
A Test for Separability in Covariance Operators of Random Surfaces Pramita Bagchi Holger Dette 22 14 0 23 Oct 2017
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 232 815 0 22 Aug 2017
A representation theorem for stochastic processes with separable covariance functions, and its implications for emulation J. Rougier 13 16 0 18 Feb 2017
Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review T. Poggio H. Mhaskar Lorenzo Rosasco Brando Miranda Q. Liao 126 576 0 02 Nov 2016
Why Deep Neural Networks for Function Approximation? Shiyu Liang R. Srikant 135 385 0 13 Oct 2016
The Power of Depth for Feedforward Neural Networks Ronen Eldan Ohad Shamir 219 732 0 12 Dec 2015
Tests for separability in nonparametric covariance operators of random surfaces J. Aston D. Pigoli Shahin Tavakoli 40 65 0 08 May 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 168 2,816 0 20 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 263 1,200 0 30 Nov 2014
Practical recommendations for gradient-based training of deep architectures Yoshua Bengio 3DH ODL 193 2,201 0 24 Jun 2012