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Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty.

, , и . SafeAI@AAAI, том 3381 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)

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Design-Time Safety Assessment of Robotic Systems Using Fault Injection Simulation in a Model-Driven Approach., , , , , , , и . MoDELS (Companion), стр. 577-586. IEEE, (2019)Application Configuration via UML Instance Specifications., , и . MODELSWARD, стр. 495-502. SciTePress, (2019)Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty., , , и . SAFECOMP Workshops, том 12853 из Lecture Notes in Computer Science, стр. 219-225. Springer, (2021)A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications., , , и . AISafety@IJCAI, том 2640 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components., , , и . CoRR, (2023)Skeptical Dynamic Dependability Management for Automated Systems., , , , , , и . DSD, стр. 118-125. IEEE, (2022)Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components., , , и . EDCC, стр. 65-72. IEEE, (2022)Multi-Agent Optimization for Safety Analysis of Cyber-Physical Systems: Position Paper., , , и . CoRR, (2024)A prototype adaptive fade countermeasure system for TDMA operation at Ka band., , , и . PIMRC, стр. 1197-1201. (1994)Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty., , и . SafeAI@AAAI, том 3381 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)