Author

Aravinth Kulanthaivelu

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#machine learning Preprint Sep 2026

Neural Dynamics as the Composition of Quantized Units

Deep learning is commonly interpreted at two levels: the macroscopic, through aggregate trends in loss summarized by scaling laws, and the microscopic, through neurons, features, and circuits. A central challenge is understanding how these levels connect, so that we can explain how elementary computations compose and c...

J. Minniti, Aravinth Kulanthaivelu, Richard Sproat · 0 citations

#artificial intelligence Preprint Sep 2026

Self Improvement via Fast Tree-search

A simple, sample-efficient self-improvement framework that significantly improves coding performance under strict budget constraints and outperforms existing tree-search based self-evolution frameworks on the full Polyglot benchmark with significantly lower resource requirements in terms of CPU hours, wall clock time,...

Xing Fu, Aravinth Kulanthaivelu, Yutaro Yamada · 2 citations · ⚡2