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Found 2 papers, 1 papers with code
Automatic Differentiable Monte Carlo: Theory and Application
Differentiable programming has emerged as a key programming paradigm empowering rapid developments of deep learning while its applications to important computational methods such as Monte Carlo remain largely unexplored.
Automatic Differentiation for Complex Valued SVD
In this note, we report the back propagation formula for complex valued singular value decompositions (SVD).
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