1 code implementation • 30 May 2024 • Laura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina M. -C. Höhne, Kirill Bykov
A crucial aspect of understanding the complex nature of Deep Neural Networks (DNNs) is the ability to explain learned concepts within their latent representations.
1 code implementation • NeurIPS 2023 • Kirill Bykov, Laura Kopf, Shinichi Nakajima, Marius Kloft, Marina M. -C. Höhne
Deep Neural Networks (DNNs) demonstrate remarkable capabilities in learning complex hierarchical data representations, but the nature of these representations remains largely unknown.