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Thomas Dybdahl Ahle is a researcher in the theoretical foundations of machine learning and massive data, including similarity search, high dimensional geometry, kernel methods, sketching and derandomi
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Thomas Dybdahl Ahle Thomas Dybdahl Ahle Hello, I'm Thomas. I lead the Foundational AI efforts at Normal Computing . My research focuses on mechanistic interpretability and capabilities of large language models, the theoretical foundations of machine learning and massive data, including similarity search, hashing, high dimensional geometry, sketching and derandomization. Research Resume Games Blog Show All Publications [ arxiv ] In Review 2023 — NEW! Thermodynamic Linear Algebra Aifer , Donatella , Gordon , TA, Simpson , Crooks , Coles Linear algebraic primitives are at the core of many modern algorithms in engineering, science, and machine learning. Hence, accelerating these primitives with novel computing hardware would have tremendous economic impact. Quantum computing has been proposed for this purpose, although the resource requirements are far beyond current technological capabil...
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