Towards Safe Machine Learning for CPS: Infer Uncertainty from Training
Data

Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data

11 September 2019

Arvind Easwaran

Papers citing "Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data"

5 / 5 papers shown

Title
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection Lynn Vonderhaar Timothy Elvira T. Procko Omar Ochoa 44 0 0 21 Jun 2024
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 37 66 0 26 Jul 2021
Embedded out-of-distribution detection on an autonomous robot platform Michael Yuhas Yeli Feng Daniel Jun Xian Ng Zahra Rahiminasab Arvind Easwaran 27 13 0 30 Jun 2021
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems Feiyang Cai X. Koutsoukos OODD 121 75 0 28 Jan 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015