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Seemingly beneficial architectural choices for end-to-end driving, like high-resolution perception, can actually hinder scalable closed-loop performance, highlighting the need for careful co-design.
Mechanistic interpretability gets a formal footing: "Certified Circuits" uses data subsampling to find provably stable sub-networks, boosting accuracy by up to 91% while using 45% fewer neurons.
