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2103.17174
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Using activation histograms to bound the number of affine regions in ReLU feed-forward neural networks
31 March 2021
Peter Hinz
Re-assign community
ArXiv
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Papers citing
"Using activation histograms to bound the number of affine regions in ReLU feed-forward neural networks"
4 / 4 papers shown
Title
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
94
33
0
29 Apr 2023
The Power of Typed Affine Decision Structures: A Case Study
Gerrit Nolte
Maximilian Schlüter
Alnis Murtovi
Bernhard Steffen
AAML
20
3
0
28 Apr 2023
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations
Maximilian Schlüter
Gerrit Nolte
Alnis Murtovi
Bernhard Steffen
29
6
0
19 Jan 2023
Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks
Hao Chen
Yu Wang
Huan Xiong
GNN
16
6
0
01 Jun 2022
1