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Liv Vage: Graph neural nets and reinforcement learning for particle tracking at the LHC

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Bruno Gavranović --- Categorical Deep Learning: An Algebraic Theory of Architectures.

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Mark Bishop, "Deep Stupidity: A Provocation on the Things LLMs Can and Cannot Do."

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Lorenz Richter: An Optimal Control Perspective on Diffusion-Based Generative Modeling

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Unlocking the Potential of Message Passing: Exploring GraphSAGE, GCN and GAT | GNN GraphML

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Visualizing transformers and attention | Talk for TNG Big Tech Day '24

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Deep Learning Bootcamp: Kaiming He