Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks

MLA

Linse, Christoph, et al. Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks. 2024. EBSCOhost, https://doi.org/10.1109/IJCNN60899.2024.10650881.

APA

Linse, C., Barth, E., & Martinetz, T. (2024). Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks. https://doi.org/10.1109/IJCNN60899.2024.10650881

Chicago

Linse, Christoph, Erhardt Barth, and Thomas Martinetz. 2024. “Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks.” doi:10.1109/IJCNN60899.2024.10650881.