Hrushikesh Mhaskar
Title
Cited by
Cited by
Year
Approximation by superposition of sigmoidal and radial basis functions
HN Mhaskar, CA Micchelli
Advances in Applied mathematics 13 (3), 350-373, 1992
3151992
Neural networks for optimal approximation of smooth and analytic functions
HN Mhaskar
Neural computation 8 (1), 164-177, 1996
2841996
Where does the sup norm of a weighted polynomial live?
HN Mhaskar, EB Saff
Constructive Approximation 1 (1), 71-91, 1985
2681985
Extremal problems for polynomials with exponential weights
HN Mhaskar, EB Saff
Transactions of the American Mathematical Society 285 (1), 203-234, 1984
2291984
Why and when can deep-but not shallow-networks avoid the curse of dimensionality: a review
T Poggio, H Mhaskar, L Rosasco, B Miranda, Q Liao
International Journal of Automation and Computing 14 (5), 503-519, 2017
2272017
Spherical Marcinkiewicz-Zygmund inequalities and positive quadrature
H Mhaskar, F Narcowich, J Ward
Mathematics of computation 70 (235), 1113-1130, 2001
2032001
Introduction to the theory of weighted polynomial approximation
HN Mhaskar
World Scientific, 1997
1981997
Deep vs. shallow networks: An approximation theory perspective
HN Mhaskar, T Poggio
Analysis and Applications 14 (06), 829-848, 2016
1942016
Degree of approximation by neural and translation networks with a single hidden layer
HN Mhaskar, CA Micchelli
Advances in applied mathematics 16 (2), 151-183, 1995
1451995
Approximation properties of a multilayered feedforward artificial neural network
HN Mhaskar
Advances in Computational Mathematics 1 (1), 61-80, 1993
1361993
On trigonometric wavelets
CK Chui, HN Mhaskar
Constructive Approximation 9 (2-3), 167-190, 1993
1081993
Fundamentals of approximation theory
HN Mhaskar, DV Pai
CRC Press, 2000
1062000
A proof of Freud's conjecture for exponential weights
DS Lubinsky, HN Mhaskar, EB Saff
Constructive Approximation 4 (1), 65-83, 1988
1021988
Learning functions: when is deep better than shallow
H Mhaskar, Q Liao, T Poggio
arXiv preprint arXiv:1603.00988, 2016
902016
When and why are deep networks better than shallow ones?
H Mhaskar, Q Liao, T Poggio
Thirty-First AAAI Conference on Artificial Intelligence, 2017
872017
Neural networks for localized approximation
CK Chui, X Li, HN Mhaskar
Mathematics of Computation 63 (208), 607-623, 1994
861994
Dimension-independent bounds on the degree of approximation by neural networks
HN Mhaskar, CA Micchelli
IBM Journal of Research and Development 38 (3), 277-284, 1994
841994
Diffusion polynomial frames on metric measure spaces
M Maggioni, HN Mhaskar
Applied and Computational Harmonic Analysis 24 (3), 329-353, 2008
832008
Approximation properties of zonal function networks using scattered data on the sphere
HN Mhaskar, FJ Narcowich, JD Ward
Advances in Computational Mathematics 11 (2-3), 121-137, 1999
761999
On the detection of singularities of a periodic function
HN Mhaskar, J Prestin
Advances in Computational Mathematics 12 (2-3), 95-131, 2000
672000
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