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; building state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); giving mathematical proofs of their correctness and efficiency
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techniques); giving mathematical proofs of their correctness and efficiency, as well as robust evaluations of their performance; applying them to solve real-world problems (e.g., gradient estimation challenges
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Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and inspiring education. We do so, driven by curiosity and supported by
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Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure. Visit us on LinkedIn and discover how you can become