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Depth-Width Trade-offs for Neural Networks via Topological Entropy

Depth-Width Trade-offs for Neural Networks via Topological Entropy

Kaifeng Bu
Yaobo Zhang
Qingxian Luo
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Papers citing "Depth-Width Trade-offs for Neural Networks via Topological Entropy"

6 / 6 papers shown
Title
Data Topology-Dependent Upper Bounds of Neural Network Widths
Data Topology-Dependent Upper Bounds of Neural Network Widths
Sangmin Lee
Jong Chul Ye
28
0
0
25 May 2023
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Wuyang Chen
Wei Huang
Xinyu Gong
Boris Hanin
Zhangyang Wang
38
7
0
11 May 2022
Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky's Theorem
Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky's Theorem
Clayton Sanford
Vaggos Chatziafratis
16
1
0
19 Oct 2021
Depth separation beyond radial functions
Depth separation beyond radial functions
Luca Venturi
Samy Jelassi
Tristan Ozuch
Joan Bruna
30
15
0
02 Feb 2021
On the statistical complexity of quantum circuits
On the statistical complexity of quantum circuits
Kaifeng Bu
D. E. Koh
Lu Li
Qingxian Luo
Yaobo Zhang
53
43
0
15 Jan 2021
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
155
603
0
14 Feb 2016