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of 2
pro vyhledávání: '"Campi, Francesco"'
We perform the first adversarial robustness study into Graph Neural Networks (GNNs) that are provably more powerful than traditional Message Passing Neural Networks (MPNNs). In particular, we use adversarial robustness as a tool to uncover a signific
Externí odkaz:
http://arxiv.org/abs/2308.08173
Autor:
Waldmannstetter, Diana, Ezhov, Ivan, Wiestler, Benedikt, Campi, Francesco, Kukuljan, Ivan, Ehrlich, Stefan, Vinayahalingam, Shankeeth, Baheti, Bhakti, Chakrabarty, Satrajit, Baid, Ujjwal, Bakas, Spyridon, Schwarting, Julian, Metz, Marie, Kirschke, Jan S., Rueckert, Daniel, Heckemann, Rolf A., Piraud, Marie, Menze, Bjoern H., Kofler, Florian
Accurate image registration is pivotal in biomedical image analysis, where selecting suitable registration algorithms demands careful consideration. While numerous algorithms are available, the evaluation metrics to assess their performance have rema
Externí odkaz:
http://arxiv.org/abs/2308.01318