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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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logic-based methods); non-standard computational models (e.g., quantum and bio-inspired computation); security and privacy (e.g., homomorphic encryption and anonymity); computational geometry, graph
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