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pro vyhledávání: '"Lukas Brunke"'
Publikováno v:
International Journal of Robust and Nonlinear Control. 31:8750-8784
In real-world applications, we often require reliable decision making under dynamics uncertainties using noisy high-dimensional sensory data. Recently, we have seen an increasing number of learning-based control algorithms developed to address the ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77e030bdcf65bd64fea2d8d3e9268df0
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030664145
ECCV Workshops (1)
ECCV Workshops (1)
Input perturbation methods occlude parts of an input to a function and measure the change in the function’s output. Recently, input perturbation methods have been applied to generate and evaluate saliency maps from convolutional neural networks. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b454264b3785a70c2d62ed0a2ab54ba1
https://doi.org/10.1007/978-3-030-66415-2_8
https://doi.org/10.1007/978-3-030-66415-2_8