People
Key researchers and course figures — Turing awardees, ImageNet creators, instructors, guests.
Guest lecturer — information and invariance in representations.
Guest lecturer — mean-field neural network theory.
Guest lecturer — Neural Tangent Kernel.
Guest lecturer — exact dynamics of deep linear networks.
Guest lecturer / Stanford — optimization and generalization theory.
Guest lecturer — implicit bias and learning theory.
Guest lecturer — adversarial robustness and trustworthy ML.
Optional: statistical learning community connection often adjacent to this literature.
STATS 385 instructor — high-dimensional statistics lens on deep learning.
Google Brain founder; influential educator and large-scale deep learning advocate.
ImageNet creator — the dataset that triggered the deep CNN revolution.
Deep learning co-founder; RNNs, attention, generative models, representation learning.
Convolutional nets pioneer (LeNet); founding figure of modern deep learning.
Backprop pioneer; deep learning co-founder. Course personalities page lead entry.
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