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Deep vs. shallow networks : An approximation theory perspective

Deep vs. shallow networks : An approximation theory perspective

H. Mhaskar
T. Poggio
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Papers citing "Deep vs. shallow networks : An approximation theory perspective"

5 / 5 papers shown
Title
Golden Ratio-Based Sufficient Dimension Reduction
Golden Ratio-Based Sufficient Dimension Reduction
Wenjing Yang
Yuhong Yang
51
0
0
25 Oct 2024
Spectral complexity of deep neural networks
Spectral complexity of deep neural networks
Simmaco Di Lillo
Domenico Marinucci
Michele Salvi
Stefano Vigogna
BDL
96
2
0
15 May 2024
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
Haitz Sáez de Ocáriz Borde
Anastasis Kratsios
131
5
0
23 Oct 2023
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
T. Getu
Georges Kaddoum
M. Bennis
71
1
0
13 Sep 2023
The Power of Depth for Feedforward Neural Networks
The Power of Depth for Feedforward Neural Networks
Ronen Eldan
Ohad Shamir
186
732
0
12 Dec 2015

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