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Ziming Liu

@ZimingLiu11 • 14,295 subscribers

Assistant Professor @ Tsinghua CollegeAI (incoming), Postdoc @ Stanford, PhD @ MIT, BS @ PKU. Physics of AI, interpretability, Structuralism, KAN

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"Physics of AI" blog update: Learning sparse attention has a sticky plateau, representation collapse, and branching dynamics

"Physics of AI" blog update: Learning sparse attention has a sticky plateau, representation collapse, and branching dynamics

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Many scientific problems hinge on finding interpretable formulas that fit data, but neural networks are the outright opposite! Check out our recent work that make neural networks modular and interpretable. If you have interesting datasets at hand, we're happy to collaborate!
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Many scientific problems hinge on finding interpretable formulas that fit data, but neural networks are the outright opposite! Check out our recent work that make neural networks modular and interpretable. If you have interesting datasets at hand, we're happy to collaborate!

Ziming Liu

62,120 views • 3 years ago

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