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Showing papers from Flatiron Institute, Simons Foundation Show all papers

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Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory

Spectral optimizer Muon exceeds SGD associative memory capacity, matching Newton's method with first-order updates and larger critical batch sizes.

Juno Kim, Eshaan Nichani, Denny Wu, Alberto Bietti and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 3/5
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Geometric Factual Recall in Transformers

Transformers memorize facts geometrically via linear superpositions and MLP selectors, needing only logarithmic dimensions and enabling zero-shot MLP transfer.

Shauli Ravfogel, Gilad Yehudai, Joan Bruna, Alberto Bietti

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026 · ▲ 1 on Hugging Face

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 4/5