APA (7th ed.) Citation

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.) Citation

Linse, 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.) Citation

Linse, 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.