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A comparison of deep networks with ReLU activation function and linear
  spline-type methods

A comparison of deep networks with ReLU activation function and linear spline-type methods

6 April 2018
Konstantin Eckle
Johannes Schmidt-Hieber
ArXivPDFHTML

Papers citing "A comparison of deep networks with ReLU activation function and linear spline-type methods"

16 / 16 papers shown
Title
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
Simone Appella
S. Arridge
Chris Budd
Teo Deveney
L. Kreusser
38
0
0
02 Jul 2024
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with
  Dynamicity Support
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
Jie Wang
Zheng Yan
Jiahe Lan
Elisa Bertino
Witold Pedrycz
28
11
0
23 Jun 2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized
  Neural Networks
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks
Ferheen Ayaz
Idris Zakariyya
José Cano
S. Keoh
Jeremy Singer
D. Pau
Mounia Kharbouche-Harrari
19
5
0
25 Apr 2023
Precision Machine Learning
Precision Machine Learning
Eric J. Michaud
Ziming Liu
Max Tegmark
24
34
0
24 Oct 2022
GCT: Gated Contextual Transformer for Sequential Audio Tagging
GCT: Gated Contextual Transformer for Sequential Audio Tagging
Yuanbo Hou
Yun Wang
Wenwu Wang
Dick Botteldooren
33
0
0
22 Oct 2022
Analysis of the rate of convergence of an over-parametrized deep neural
  network estimate learned by gradient descent
Analysis of the rate of convergence of an over-parametrized deep neural network estimate learned by gradient descent
Michael Kohler
A. Krzyżak
32
10
0
04 Oct 2022
Fingerprinting Robot Movements via Acoustic Side Channel
Fingerprinting Robot Movements via Acoustic Side Channel
Ryan Shah
Mujeeb Ahmed
Shishir Nagaraja
13
2
0
21 Sep 2022
Towards Understanding and Mitigating Audio Adversarial Examples for
  Speaker Recognition
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition
Guangke Chen
Zhe Zhao
Fu Song
Sen Chen
Lingling Fan
Feng Wang
Jiashui Wang
AAML
25
37
0
07 Jun 2022
CT-SAT: Contextual Transformer for Sequential Audio Tagging
CT-SAT: Contextual Transformer for Sequential Audio Tagging
Yuanbo Hou
Zhaoyi Liu
Bo Kang
Yun Wang
Dick Botteldooren
ViT
32
5
0
22 Mar 2022
Activation Functions in Deep Learning: A Comprehensive Survey and
  Benchmark
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
S. Dubey
S. Singh
B. B. Chaudhuri
41
643
0
29 Sep 2021
SEC4SR: A Security Analysis Platform for Speaker Recognition
SEC4SR: A Security Analysis Platform for Speaker Recognition
Guangke Chen
Zhe Zhao
Fu Song
Sen Chen
Lingling Fan
Yang Liu
AAML
25
12
0
04 Sep 2021
The Kolmogorov-Arnold representation theorem revisited
The Kolmogorov-Arnold representation theorem revisited
Johannes Schmidt-Hieber
30
125
0
31 Jul 2020
A survey on modern trainable activation functions
A survey on modern trainable activation functions
Andrea Apicella
Francesco Donnarumma
Francesco Isgrò
R. Prevete
36
366
0
02 May 2020
Optimal Nonparametric Inference via Deep Neural Network
Optimal Nonparametric Inference via Deep Neural Network
Ruiqi Liu
B. Boukai
Zuofeng Shang
20
18
0
05 Feb 2019
A Stacked Autoencoder Neural Network based Automated Feature Extraction
  Method for Anomaly detection in On-line Condition Monitoring
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring
Mohendra Roy
S. Bose
B. Kar
P. K. Gopalakrishnan
A. Basu
14
30
0
19 Oct 2018
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
153
603
0
14 Feb 2016
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