Linse, C., Barth, E., & Martinetz, T. (2024). Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks.
Chicago Style (17th ed.) CitationLinse, Christoph, Erhardt Barth, and Thomas Martinetz. Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks. 2024.
MLA (9th ed.) CitationLinse, Christoph, et al. Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks. 2024.
Warning: These citations may not always be 100% accurate.