Towards Quantification of Assurance for Learning-enabled Components

21 January 2023

Papers citing "Towards Quantification of Assurance for Learning-enabled Components"

7 / 7 papers shown

Title
Quantifying Assurance in Learning-enabled Systems Erfan Asaadi E. Denney Ganesh J. Pai 40 16 0 18 Jun 2020
Robustness Guarantees for Bayesian Inference with Gaussian Processes L. Cardelli Marta Kwiatkowska Luca Laurenti A. Patané AAML 54 52 0 17 Sep 2018
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 135 1,099 0 01 Nov 2017
End-to-end Learning of Driving Models from Large-scale Video Datasets Huazhe Xu Yang Gao Feng Yu Trevor Darrell 152 826 0 04 Dec 2016
Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation Pinxin Long Wenxi Liu Jia Pan 48 166 0 22 Sep 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 242 2,404 0 21 Jun 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 100 4,175 0 25 Apr 2016