AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A Geometric-to-Semantic Spherical Transfer Learning framework that outperforms fully supervised baselines trained from scratch on variable and tertiary sulci, confirming that learning the cortex shape is highly beneficial for identifying its rarest parts.
Champollion, a self-supervised learning framework that learns interpretable local representations of cortical folding from structural MRI, is introduced, establishing cortical folding as a rich and largely untapped source of neurodevelopmental information.
Visual Counterfactual Explanations (VCEs) aim to explain image classifiers by generating minimally edited and realistic versions of an input image that change the classifier's prediction. Existing VCE methods are inherently classifier-dependent and therefore susceptible to classifier biases and failure modes, such as s...
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