Automatic Differentiation (AD) is a technology for automatically augmenting computer programs, including arbitrarily complex simulations, with statements for the computation of derivatives, also known as sensitivities.
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- POPL 2021 workshop on Languages for Inference, January 17, 2021, online
- 23rd EuroAD Workshop, August 11–13, 2020
- SIAM Workshop CSC20, February 11–13, 2020, Seattle, USA
- Workshop on Program Transformations for Machine Learning (at NeurIPS 2019), December 13 or 14, 2019, Vancouver, Canada