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Found 4 papers, 2 papers with code
Generative Adversarial Collaborations: A practical guide for conference organizers and participating scientists
Generative adversarial collaborations (GACs) are a form of formal teamwork between groups of scientists with diverging views.
On the Level Sets and Invariance of Neural Tuning Landscapes
This shows the power of level sets as a conceptual tool to understand neuronal activations over image space.
High-performance Evolutionary Algorithms for Online Neuron Control
To find these patterns, we have used black-box optimizers to search a 4096d image space, leading to the evolution of images that maximize neuronal responses.
The Geometry of Deep Generative Image Models and its Applications
Our results illustrate that defining the geometry of the GAN image manifold can serve as a general framework for understanding GANs.
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