Olov Schavemaker

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All published works

Action	Title	Year	Authors
+ PDF Chat	On best approximation by multivariate ridge functions with applications to generalized translation networks	2024	Paul Geuchen Palina Salanevich Olov Schavemaker Felix Voigtlaender
+ PDF Chat	Random vector functional link networks for function approximation on manifolds	2024	Deanna Needell Aaron A. Nelson Rayan Saab Palina Salanevich Olov Schavemaker
+ PDF Chat	Efficient uniform approximation using Random Vector Functional Link networks	2023	Palina Salanevich Olov Schavemaker
+	Efficient uniform approximation using Random Vector Functional Link networks	2023	Palina Salanevich Olov Schavemaker

Common Coauthors

Coauthor	Papers Together
Palina Salanevich	4
Deanna Needell	1
Felix Voigtlaender	1
Rayan Saab	1
Aaron A. Nelson	1
Paul Geuchen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	An Introduction to Manifolds	2007	Loring W. Tu	1
+	Introduction to Fourier Analysis on Euclidean Spaces.	1971	Elias M. Stein Guido Weiss	1
+ PDF Chat	Convolution roots of radial positive definite functions with compact support	2004	Werner Ehm Tilmann Gneiting Donald Richards	1
+ PDF Chat	The Concentration of Measure Phenomenon	2005	Michel Ledoux	1
+	High-dimensional integration: The quasi-Monte Carlo way	2013	Josef Dick Frances Y. Kuo Ian H. Sloan	1
+	New concentration inequalities in product spaces	1996	Michel Talagrand	1
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Provable approximation properties for deep neural networks	2016	Uri Shaham Alexander Cloninger Ronald R. Coifman	1
+	Random Vector Functional Link Neural Network based Ensemble Deep Learning	2019	Rakesh Katuwal Ponnuthurai Nagaratnam Suganthan M. Tanveer	1
+	The capacity of feedforward neural networks	2019	Pierre Baldi Roman Vershynin	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+ PDF Chat	Convolutional Neural Networks with Alternately Updated Clique	2018	Yibo Yang Zhisheng Zhong Tiancheng Shen Zhouchen Lin	1
+	Multi-scale geometric methods for data sets II: Geometric Multi-Resolution Analysis	2011	William K. Allard Guangliang Chen Mauro Maggioni	1
+	Memory capacity of neural networks with threshold and ReLU activations	2020	Roman Vershynin	1
+	A Corrective View of Neural Networks: Representation, Memorization and Learning	2020	Guy Bresler Anant Raj	1
+ PDF Chat	Random vector functional link networks for function approximation on manifolds	2024	Deanna Needell Aaron A. Nelson Rayan Saab Palina Salanevich Olov Schavemaker	1
+	Convolutional Neural Networks with Alternately Updated Clique	2018	Yibo Yang Zhisheng Zhong Tiancheng Shen Zhouchen Lin	1
+ PDF Chat	On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds	2021	Mark Iwen Felix Krahmer Sara Krause-Solberg Johannes Maly	1
+	On the Approximation Power of Two-Layer Networks of Random ReLUs	2021	Daniel Hsu Clayton Sanford Rocco A. Servedio Emmanouil-Vasileios Vlatakis-Gkaragkounis	1
+ PDF Chat	Neural manifold analysis of brain circuit dynamics in health and disease	2022	Rufus Mitchell‐Heggs Seigfred V. Prado Giuseppe P. Gava Mary Ann Go Simon R. Schultz	1
+	Random vector functional link network: Recent developments, applications, and future directions	2023	A. K. Malik Ruobin Gao M. A. Ganaie M. Tanveer Ponnuthurai Nagaratnam Suganthan	1