5 citations · 10 across the 10 of their papers we have counts for
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cs.LG2026
Muon learns balanced solutions in matrix factorization without slow saddle-to-saddle dynamics
Mark Rhee, Jamie Simon, Dhruva Karkada
Matrix factorization (i.e., problems of the form ) is a minimal learning problem that ex…
stat.ML2026
There Will Be a Scientific Theory of Deep Learning
Jamie Simon, Daniel Kunin, Alexander Atanasov +11
In this paper, we make the case that a scientific theory of deep learning is emerging. By this we mean a theory which characterizes important properties and statistics of the train…
cs.LG2026★ 1 cited
Symmetry in language statistics shapes the geometry of model representations
Dhruva Karkada, Daniel J. Korchinski, Andres Nava +2
The internal representations learned by language models consistently exhibit striking geometric structure: calendar months organize into a circle, historical years form a smooth on…