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Non-Euclidean Universal Approximation

Non-Euclidean Universal Approximation

3 June 2020
Anastasis Kratsios
Ievgen Bilokopytov
    AAML
ArXivPDFHTML

Papers citing "Non-Euclidean Universal Approximation"

10 / 10 papers shown
Title
Minimum Width for Universal Approximation
Minimum Width for Universal Approximation
Sejun Park
Chulhee Yun
Jaeho Lee
Jinwoo Shin
68
124
0
16 Jun 2020
Deep, Skinny Neural Networks are not Universal Approximators
Deep, Skinny Neural Networks are not Universal Approximators
Jesse Johnson
50
66
0
30 Sep 2018
Universality of Deep Convolutional Neural Networks
Universality of Deep Convolutional Neural Networks
Ding-Xuan Zhou
HAI
PINN
412
514
0
28 May 2018
Hyperbolic Neural Networks
Hyperbolic Neural Networks
O. Ganea
Gary Bécigneul
Thomas Hofmann
56
603
0
23 May 2018
Representation Tradeoffs for Hyperbolic Embeddings
Representation Tradeoffs for Hyperbolic Embeddings
Christopher De Sa
Albert Gu
Christopher Ré
Frederic Sala
213
412
0
10 Apr 2018
The Expressive Power of Neural Networks: A View from the Width
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu
Hongming Pu
Feicheng Wang
Zhiqiang Hu
Liwei Wang
99
894
0
08 Sep 2017
Poincaré Embeddings for Learning Hierarchical Representations
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel
Douwe Kiela
90
1,305
0
22 May 2017
A Random Matrix Approach to Neural Networks
A Random Matrix Approach to Neural Networks
Cosme Louart
Zhenyu Liao
Romain Couillet
65
161
0
17 Feb 2017
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
323
18,625
0
06 Feb 2015
Regression on fixed-rank positive semidefinite matrices: a Riemannian
  approach
Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
Gilles Meyer
Silvere Bonnabel
R. Sepulchre
86
89
0
07 Jun 2010
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