SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design-Reference-Cited by-同舟云学术

SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
language:
Short-container-title:

Author:

Ben Braiek Houssem¹,Tfaily Ali²,Khomh Foutse¹,Reid Thomas³,Guida Ciro²

Affiliation:

1. École Polytechnique de Montréal, Canada

2. Bombardier Aerospace Inc., Canada

3. Sycodal Inc., Canada

Funder

DEEL project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551349.3556936

Reference67 articles.

1. Surrogate-Based Aerodynamic Design Optimization: Use of Surrogates in Aerodynamic Design Optimization

2. John David Anderson . 1999. Aircraft performance and design. Vol. 1 . WCB/McGraw-Hill Boston . John David Anderson. 1999. Aircraft performance and design. Vol. 1. WCB/McGraw-Hill Boston.

3. Martin Arjovsky Léon Bottou Ishaan Gulrajani and David Lopez-Paz. 2019. Invariant risk minimization. arXiv preprint arXiv:1907.02893(2019). Martin Arjovsky Léon Bottou Ishaan Gulrajani and David Lopez-Paz. 2019. Invariant risk minimization. arXiv preprint arXiv:1907.02893(2019).

4. Charles Audet and Michael Kokkolaras. 2016. Blackbox and derivative-free optimization: theory algorithms and applications. 2 pages. Charles Audet and Michael Kokkolaras. 2016. Blackbox and derivative-free optimization: theory algorithms and applications. 2 pages.

5. Feed-forward neural networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On Calibration of Pre-trained Code Models;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12