Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach

被引：0

作者：

Jafarpour, Saber ^{[1
]}

Abate, Matthew ^{[1
]}

Davydov, Alexander ^{[2
]}

Bullo, Francesco ^{[2
]}

Coogan, Samuel ^{[1
]}

机构：

[1] Georgia Institute of Technology, United States

[2] University of California, Santa Barbara, United States

来源：

Proceedings of Machine Learning Research | 2022年 / 168卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Computation theory - Embedded systems - Learning systems - Multilayer neural networks - System theory

引用

页码：917 / 930

共 13 条

[1] Wasserstein distributional robustness of neural networks
Bai, Xingjian
Jiang, Yifan
He, Guangyi
Oblój, Jan
Advances in Neural Information Processing Systems, 2023, 36
[2] Robustness Scan of Digital Circuits Using Convolutional Neural Networks
Vaziri, Mobin
Rahimifar, Mohammad Mehdi
Jahanirad, Hadi
2022 12th International Conference on Computer and Knowledge Engineering, ICCKE 2022, 2022, : 13 - 18
[3] Research on Robustness of Deep Neural Networks Based Data Preprocessing Techniques
Zhao, Hong
Chang, You-kang
Wang, Wei-jie
International Journal of Network Security, 2022, 24 (02) : 243 - 252
[4] Inferring networks from time series: a neural approach
Gaskin, Thomas
Pavliotis, Grigorios A.
Girolami, Mark
arXiv, 2023,
[5] Group deep neural network approach in semantic recommendation system for movie recommendation in networks online
Bazargani, Mahdi
H.Alizadeh, Sasan
Masoumi, Behrooz
Electronic Commerce Research, 2024,
[6] The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks
Chizat, Lénaïc
Netrapalli, Praneeth
arXiv, 2023,
[7] RTL Verification and FPGA Implementation of Generalized Neural Networks: A High-Level Synthesis Approach
Nagarale, Satyashil D.
Patil, B.P.
Lecture Notes on Data Engineering and Communications Technologies, 2022, 126 : 447 - 462
[8] New criteria on robust stability for neural networks of neutral-type with mixed delays and norm-bounded uncertainties
Liu, Guoquan
Zhou, Shumin
Pang, Jihong
Chai, Yi
Journal of Information and Computational Science, 2012, 9 (06): : 1633 - 1651
[9] An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks
Rekabdar, Banafsheh
Nicolescu, Monica
Kelley, Richard
Nicolescu, Mircea
Journal of Intelligent and Robotic Systems: Theory and Applications, 2015, 80 : 83 - 97
[10] A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta
GA
30332, United States
不详
Sicily, Italy
Neurocomputing, (448-459):

← 1 2 →